Agent Skills › openai/plugins › moody-s-peer-analysis

moody-s-peer-analysis

GitHub

基于Moody's GenAI MCP工具，为指定公司及最多3家信用同行生成专业HTML对比报告。涵盖评级、ESG及违约概率分析，强制输出独立可下载文件，禁止聊天框展示源码。

plugins/moody-s/skills/moody-s-peer-analysis/SKILL.md openai/plugins

Trigger Scenarios

比较公司与同行运行同行分析信用同行对比生成同行组报告分析相对信用定位提及公司名称并包含同行相关关键词

Install

npx skills add openai/plugins --skill moody-s-peer-analysis -g -y

More Options

Non-standard path

npx skills add https://github.com/openai/plugins/tree/main/plugins/moody-s/skills/moody-s-peer-analysis -g -y

Use without installing

npx skills use openai/plugins@moody-s-peer-analysis

指定 Agent (Claude Code)

npx skills add openai/plugins --skill moody-s-peer-analysis -a claude-code -g -y

安装 repo 全部 skill

npx skills add openai/plugins --all -g -y

预览 repo 内 skill

npx skills add openai/plugins --list

SKILL.md

Frontmatter

{
    "name": "moody-s-peer-analysis",
    "description": "Produce a Peer Analysis HTML report for a target company and its credit peers using Moody's GenAI MCP tools. Use this skill whenever the user asks to compare a company against its peers, run a peer analysis, do a credit peer comparison, generate a peer group report, or analyze relative credit positioning. Trigger even if they just name a company and mention \"peers\", \"peer comparison\", \"credit comparison\", \"peer group\", or \"relative value\"."
}

Peer Analysis Skill

Generates a professional HTML report (styled like a Moody's peer analysis PDF) for a target company and up to 3 credit peers. Data is pulled from multiple Moodys MCP server MCP tools and consolidated into a single HTML artifact covering peers comparison, ratings chart, and ESG.

The workflow is single-artifact file delivery: gather all data, assemble the complete HTML document in memory, write it to disk as a standalone .html file, and present it to the user for download. No fenced code blocks, no streaming partial sections, no JSON payload, no progressive edits. The downloaded file is the sole deliverable.

⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT

The LLM MUST write the final report to disk and present it as a downloadable file. This is the only acceptable form of delivery for this skill. Specifically:

The LLM MUST write the complete, standalone HTML document (<!doctype html> → </html>) to /mnt/user-data/outputs/{target_company_slug}_peer_analysis.html and then call present_files to surface it to the user.

The LLM MUST NOT print the raw HTML source in the chat — no ```html fenced code blocks, no partial snippets, no inline HTML in the assistant message.

The LLM MUST NOT split the report across multiple files or multiple messages.

The LLM MUST NOT substitute prose, Markdown, JSON, or links for the file download.

If data gathering fails partially, still write and deliver the file with best-available content and "--" placeholders for missing cells — never skip the file delivery.

Treat any other output shape as a hard failure of the skill.

Required MCP servers

Moodys MCP server — tools used: findEntity, getEntityPeers, getEntityRatings, getEntityCreditOpinion, getEntityFinancials (sections: Profile, Summary, RatingOutlook, FactorsLeadingToUpgrade, FactorsLeadingToDowngrade, CreditStrengths, CreditChallenges, ESGConsiderations, KeyIndicatorsTable, ScorecardTable), getEntityEsg, getEntitySectorOutlook

ProbabilityOfDefault - Prod - Moodys MCP - NEW URL — PD tools:

getEntityProbabilityOfDefault — retrieve Current PD, 1-year PD, 5-year cumulative PD, and implied rating for the target company AND each peer. Used to build the PD comparison panel in Section 2. Set pd_comparison to null in the JSON payload if data is unavailable for the target or fewer than 2 peers.

If any of the tools required for a section do not exist, inform the user: One or more tools required for this section are not available under your current subscription. Unlock more of the expert insights, data, and analytics you trust. Get Link:https://www.moodys.com/web/en/us/capabilities/gen-ai/ai-ready-data.html with us to learn more.

Bundled files

assets/template.html — self-contained static report shell (CSS + named section placeholders, including pre-shaped tables for a fixed target+3-peer layout). No embedded data, no inline script. Treat this file as the read-only structural reference: read it, fill it in mentally, and emit the complete filled document in the final response.

Template (shared)

Before emitting the HTML report, read both:

skills/shared/template/SKILL.md — authoring rules (which classes / snippets are owned by the shared layer, allowed per-skill overrides, outlook-badge usage).
skills/shared/template/assets/template.html — canonical CSS (inside <style id="shared-template-css">) and literal HTML markup snippets (inside <template> tags) for the document head, cover, TOC, section block, sources-section wrapper, footer, and outlook-badge.

Lookup order — always check the shared template before inventing. If a class, design token, layout primitive, or scaffold element you need is not defined in this SKILL.md or already present in this skill's assets/template.html, the shared template skill is authoritative. Do not invent CSS, HTML scaffolds, or design tokens that the shared skill already provides; do not silently restyle anything the shared skill owns (cover, TOC, section, sources-section wrapper, footer, outlook-badge, design tokens, reset, body / page base).

At emit time, copy the contents (not the <style> wrapper) of <style id="shared-template-css"> from the shared asset into the parent template's reserved marker region between the CSS-comment markers /* BEGIN shared-template-css ... */ and /* END shared-template-css */. For HTML scaffolds (head boilerplate, cover, TOC, sources-section wrapper, footer), use the literal markup from the matching <template> snippet in the shared asset. The parent template no longer carries duplicated chrome CSS — those rules ship only in the shared asset.

This skill uses the cover-multi variant. Skill-specific override retained above the marker region: **.page { max-width: 1050px }** (PA reports are wider than the 900px canonical default to fit the multi-column scorecard / key-indicators tables). Skill-specific CSS that stays local: .sub-heading, all PA-specific table classes (.pa-table, .credit-drivers-table, .ki-table, .sc-table), and the chart helpers (.chart-container, .chart-title, .chart-legend, .chart-legend-item, .chart-legend-swatch). All outlook-badge usage in this skill must use the canonical pastel variants (stable / positive / negative / review / na) defined by the shared skill — no solid-fill or inline-color overrides. PA flags the target entity on the cover with class="company-chip target"; the chip wrappers themselves come from the shared cover-multi snippet.

Citations (shared)

Before emitting any [n] reference inline, any per-section recap block, or the end-of-document Citations block, read both:

skills/shared/citations/SKILL.md — authoring rules (numbering, hyperlinking, source data shape, carve-outs).
skills/shared/citations/assets/template.html — canonical CSS (inside <style id="shared-citations-css">) and literal HTML markup snippets (inside <template> tags) for inline references, the end-of-document Citations block, and the optional .section-citations recap.

At emit time, copy the contents (not the wrapper) of <style id="shared-citations-css"> from the shared asset into the parent template's reserved marker region, located inside assets/template.html between the CSS-comment markers /* BEGIN shared-citations-css … */ and /* END shared-citations-css */. The parent template no longer carries duplicated citation CSS — those rules ship only in the shared asset.

The prefix used for the end-of-document container in this skill is pa, so the container id is #pa-sources. Optional per-section recap blocks live in #pa-cite-peers, #pa-cite-ratings, and #pa-cite-esg. Internal MCP tool names (e.g. getEntityCreditOpinion) are NEVER rendered inside .source-meta.

Step 1 — Resolve the target company

Call findEntity with the company name provided by the user. Store the canonical entity name and entity ID.

If the user provides only one company name, that is the target company. The peers will be discovered automatically in Step 2.

Step 2 — Discover and resolve peers

Call getEntityPeers for the target company. Select the top 3 peers returned.

You now have a set of up to 4 companies (1 target + up to 3 peers). For each peer, call findEntity to resolve its canonical entity name and ID.

Step 3 — Read the template

Read assets/template.html (relative to this skill directory) once. Keep its exact structure — CSS, <head>, section order, table skeletons (including all pre-shaped 4-company columns/rows), row labels, and element IDs — as the scaffold for the final artifact. Do not copy it to the workspace and do not open it.

Step 4 — Gather all data in parallel

For every company in the set (target + up to 3 peers), fire all of the following in a single parallel batch (one message, many tool calls):

Credit Opinion data (per company)

Call getEntityCreditOpinion,getEntityFinancials requesting these sections, about the key Indicators table this should be populated with most recent fiscal year available (e.g. 2025 FY) on getEntityFinancials. Not LTM allowed:

CRITICAL — getEntityFinancials is the authoritative source for all quantitative data. Always call getEntityFinancials (with excludeInterimData: true) for every entity in the peer set to obtain the most recent fiscal year-end figures. Do NOT rely solely on the Key Indicators or Scorecard exhibits embedded in getEntityCreditOpinion — those may reference an older period. After fetching financials, identify each entity's latest year with a non-null Revenue value and use that year exclusively for Key Indicators charts, Scorecard "Current" column, and the Revenue bar chart. LTM figures are not permitted.

Section parameter	Purpose
`Profile`	Company description for the Peers Table
`FactorsLeadingToUpgrade`	Upgrade factors for Credit Drivers
`FactorsLeadingToDowngrade`	Downgrade factors for Credit Drivers
`CreditStrengths`	Credit strengths for Credit Drivers
`CreditChallenges`	Credit challenges for Credit Drivers
`KeyIndicatorsTable`	Financial metrics for Key Indicators table
`ScorecardTable`	Scorecard data

Ratings (per company)

Call getEntityRatings — retrieve the current long-term rating, rating class, rating date, outlook, and historical ratings (need at least the last 5 rating actions for the Ratings Chart).

ESG (per company)

Call getEntityEsg — overall CIS classification plus E, S, G sub-scores.

Sector outlook (once per sector)

Call getEntitySectorOutlook for the target company's sector. Reuse for peers in the same sector.

Probability of Default (target + all peers)

Call getEntityProbabilityOfDefault for the target company AND every resolved peer in a single parallel batch. Retrieve:

1-year PD (%)
5-year cumulative PD (%)
PD-implied rating

Compute the peer average for 1-year PD and 5-year cumulative PD (exclude the target). Determine pd_signal:

"red" — target 1-year PD is >2× peer average
"amber" — target 1-year PD is 1.25–2× peer average
"green" — target 1-year PD is ≤1.25× peer average

Build pd_gap_1yr label (e.g. "+0.079pp above peer avg (3.5×)").

Set pd_comparison to null if the PD tool is unavailable or data is missing for the target or fewer than 2 peers — the panel is suppressed automatically.

Hold all results in context for Step 5 synthesis.

Step 5 — Synthesize + emit the complete artifact

After data is gathered, assemble the complete filled HTML document and write it to disk, then present it to the user for download (see Step 7 for the file-naming and delivery contract).

The assembled document must:

Be a complete, standalone HTML document (doctype → </html>) that renders without external dependencies.
Preserve the template's <head> (CSS, fonts), section order, table skeletons, row labels, and element IDs exactly. Only the empty targets defined below are populated.

Write in professional financial/credit analysis language. Always reference specific companies by name. The target company is always the first column / first row in every table. Render order of content inside the code block follows the page top-to-bottom so the artifact is human-readable as well as browser-renderable: cover/header fields first, then Peers Comparison sub-sections (1–6), Ratings Chart, ESG, and citations/sources last.

Attribute substantive claims with numbered citation references. The exact inline markup, the URL-less fallback, and the rule that n matches the row position of the source inside #pa-sources are defined in skills/shared/citations/SKILL.md.

Cover / header fields (write first)

#pa-report-date — e.g. April 20, 2026 (plain text)
#pa-footer-date — same value (plain text)
#pa-target-company — canonical name of the target (plain text)
#pa-peer-count — integer count of peers resolved in Step 2 (plain text)
#pa-company-chips — <span class="company-chip target">Target</span> followed by one <span class="company-chip">Peer</span> per peer (space-separated; target first)
#pa-cover-img-right, #pa-cover-img-bottom — optional. If you have image URLs or data URIs to use, set the src attributes and add the has-cover-image class to the corresponding container (<div class="cover-top has-cover-image"> and/or <div class="cover-bottom has-cover-image">). If you do not have images, leave the template as-is — the empty image strips will collapse automatically and the cover will render as a clean navy block with the accent bar.

Section 1 — Peers Comparison Table & Analysis

1) Peers Table → <tbody id="pa-peers-table">

Write one <tr> per company. Two columns: company name + a substantive description paragraph sourced from the Credit Opinion Profile section (headquarters, business overview, key brands/segments, approximate TTM revenue). Description paragraphs may carry inline citations.

2) Peers Rating → <tbody id="pa-peers-rating">

Write one <tr> per company. Three columns: company name, rating (formatted as {rating} ({rating class} / {date})), and <span class="outlook-badge …">Outlook</span>. Use class rules below.

3) Credit Drivers — 5 rows × 4 company columns, pre-shaped <table> with per-cell IDs

Write the 4 company header cells first:

#pa-cd-col-1 — target name (plain text)
#pa-cd-col-2, #pa-cd-col-3, #pa-cd-col-4 — peer names in order (leave empty if fewer than 3 peers were resolved)

Then write the 16 body cells (#pa-cd-r{1..4}-c{1..4}). Each cell is a substantive paragraph with specific quantitative thresholds where available. Cells may carry inline citations:

Row 1 (Upgrade factors) — from FactorsLeadingToUpgrade
Row 2 (Downgrade factors) — from FactorsLeadingToDowngrade
Row 3 (Credit strengths (qualitative)) — from CreditStrengths
Row 4 (Credit challenges (qualitative)) — from CreditChallenges

Row 5 ("Quantitative support") has been removed. Do NOT emit a 5th row in the Credit Drivers table. The pre-shaped table in assets/template.html has 5 row slots — leave #pa-cd-r5-c{1..4} blank and suppress the row label for Row 5 by setting its <th> to an empty string or by omitting it entirely if the template allows. Quantitative metrics are covered by the Key Indicators bar charts immediately below.

If a Credit Opinion section is missing for a company, write Not available in the corresponding cell rather than leaving it blank.

4) Key Indicators — Peer Bar Charts → #pa-ki-charts

Replace the static Key Indicators table with a set of horizontal peer bar charts matching the visual style from the sector-drift report. Emit a <div id="pa-ki-charts"> block containing five peer-bar-chart-outer panels, one per metric:

Chart	Metric	Unit	Source	Note on "lower is better"
1	FCF Margin %	`%`	(OCF − \|Capex\|) / Revenue	Higher = better
2	Debt / EBITDA	`x`	Moody's pre-computed Key Indicators	Lower = better
3	EBITDA Margin %	`%`	EBITDA / Revenue	Higher = better
4	EBITA / Interest	`x`	Moody's pre-computed Key Indicators	Higher = better
5	RCF / Net Debt	`%`	Moody's pre-computed Key Indicators	Higher = better

For each chart:

Show one bar per company (target first, then peers sorted by descending value, then AVERAGE last)
The target bar uses background:#0066cc (blue); AVERAGE bar uses background:#2e7d32 (green)
Peers use background:#7ca8d8 (steel blue) for positive values, background:#e0a0a0 for negative
Draw an orange median line (background: #e87722) at the peer median position
Show the fiscal year for each company's bar by appending the FY label in parentheses to the pbc-name element (e.g. Target Co (FY2025), Peer A (FY2024)). This is required because different entities may have different most-recent fiscal years. Use the same FY year identified via getEntityFinancials for each entity.
Display the fiscal year reference at the top of the block (e.g. FY2025, % of revenue | Orange line = peer median | Green bar = peer average); if entities have mixed FYs, write Most recent FY instead of a single year
Include a note line at the bottom with: peer median, peer avg (n=X), company value, gap

Compute peer average and peer median across all resolved peers (exclude the target).

FY period header: show the most recent common FY year at the top of #pa-ki-charts in a <div class="ki-fy-header"> (e.g. KEY INDICATORS — FY2025 | Company vs. Peers).

Reference snippet for one chart panel (emit five of these inside #pa-ki-charts):

<div id="pa-ki-charts">
  <div class="ki-fy-header">KEY INDICATORS — FY2025 | Company vs. Peers</div>

  <div class="peer-bar-chart-outer">
    <div class="pbc-title">FCF MARGIN — COMPANY VS. PEERS</div>
    <div class="pbc-subtitle">FY2025, % of revenue | Orange line = peer median | Green bar = peer average</div>
    <div class="pbc-rows">
      <!-- Target (subject) row -->
      <div class="pbc-row">
        <div class="pbc-name subject" title="Target Co">Target Co</div>
        <div class="pbc-track">
          <div class="pbc-median-line" style="left:52.3%"><div class="pbc-median-tip">Median 8.4%</div></div>
          <div class="pbc-fill subj-neg" style="left:0;width:12.1%"></div>
        </div>
        <div class="pbc-val neg">-2.1%</div>
      </div>
      <!-- Peer rows (sorted descending by value) -->
      <div class="pbc-row">
        <div class="pbc-name" title="Peer A">Peer A</div>
        <div class="pbc-track">
          <div class="pbc-median-line" style="left:52.3%"></div>
          <div class="pbc-fill peer-pos" style="left:0;width:100%"></div>
        </div>
        <div class="pbc-val pos">12.3%</div>
      </div>
      <!-- AVERAGE bar (last, separated by dashed border) -->
      <div class="pbc-row" style="margin-top:6px;padding-top:6px;border-top:1px dashed #d0d7e3">
        <div class="pbc-name average">AVERAGE</div>
        <div class="pbc-track">
          <div class="pbc-fill avg-bar" style="left:0;width:70.7%"></div>
        </div>
        <div class="pbc-val avg-val">8.7%</div>
      </div>
    </div>
    <div class="pbc-note">Peer median 8.42% | Peer avg 8.70% (n=6, Moody's). Company: -2.10%. Gap vs. median: -10.52pp.</div>
  </div>

  <!-- Repeat for Debt/EBITDA, EBITDA Margin %, EBITA/Interest, RCF/Net Debt -->
</div>

Bar width calculation — for charts with only positive values:

Find maxAbs = max of all absolute values across company + peers
fillW = (value / maxAbs * 88).toFixed(1) + '%'

For charts that could include negative values (FCF Margin):

Use a zero-anchored track: zeroPct = 44, positive bars grow right, negative bars grow left
fillW = (|value| / maxAbs * 44).toFixed(1) + '%'
fillL for negative: (zeroPct - |value|/maxAbs*44).toFixed(1) + '%'

Median line position: medPct = (medV / maxAbs * 88).toFixed(1) + '%' (positive-only charts)

Source all values from getEntityFinancials (most recent FY — same period used in scorecards). If a value is missing, omit the bar row for that company.

5) Scorecards — 7 rows × 8 sub-columns (4 companies × Current/Forward), pre-shaped <table>

Write the 4 top-level company headers first:

#pa-sc-col-1 — target name
#pa-sc-col-2, #pa-sc-col-3, #pa-sc-col-4 — peer names

Write the 8 sub-header labels:

#pa-sc-col-{1..4}-curr — current-period label that must exactly match the most-recent FY period used for that entity in the Key Indicators bar charts (e.g. if Apple's KI data is from FY2025, write FY2025; if Microsoft's is from FY2024, write FY2024). Each entity's label is set independently — do not force a single common year across all columns.
#pa-sc-col-{1..4}-fwd — forward-period label (e.g. Forward)

FY LABEL SYNCHRONY — STRICTLY ENFORCED (Sections 4 and 5): The fiscal year label shown in Section 4 (Key Indicators bar charts) for each entity MUST be identical to the label shown in the #pa-sc-col-{n}-curr sub-header for that same entity in Section 5 (Scorecards). This is a hard consistency requirement:

Determine the most-recent non-null full fiscal year-end for each entity from getEntityFinancials (with excludeInterimData: true). Label it as FY{YYYY} (e.g. FY2025, FY2024). Never use "LTM", "TTM", "Current", or any period label other than the specific FY{YYYY} form.

Write that exact FY{YYYY} string in:

The pbc-name element of each company's row inside every Section 4 bar chart (appended in parentheses, e.g. Apple Inc. (FY2025)), AND in the <div class="ki-fy-header"> block label.

The #pa-sc-col-{n}-curr sub-header cell for that entity in Section 5.

The data values themselves — all numbers in Section 4 and Section 5 Current cells must be sourced from the same FY{YYYY} period.

If two entities have different most-recent FYs, each gets its own correct label independently. The header <div class="ki-fy-header"> should then read KEY INDICATORS — Most Recent FY | Company vs. Peers.

This synchrony check is mandatory before emitting the final HTML. Mismatched labels between Section 4 and Section 5 are a hard failure of the skill.

~ (tilde) prefix rule — STRICT: The ~ prefix (e.g. ~2.5x, ~15%) means approximately estimated / forecast and must only appear in Forward (-fwd) cells. It must never appear in Current (-curr) cells. Current-period cells contain actual reported or Moody's-adjusted figures sourced from getEntityFinancials; use the precise value as-is (e.g. 2.3x, 14.8%). If the exact current figure is unavailable, write N/A — do not substitute a tilde-prefixed estimate.

Then write the 56 body cells (#pa-sc-r{1..7}-c{1..4}-curr and -fwd) for the 7 rows:

Row 1 — Scale: Revenue/Sales (USD bn)
Row 2 — Profitability: EBIT(A) margin
Row 3 — Leverage: Debt/EBITDA
Row 4 — Cash flow: RCF/Net debt
Row 5 — Coverage: EBIT(A)/Interest
Row 6 — Scorecard-indicated outcome
Row 7 — Actual rating

Source from ScorecardTable in the Credit Opinion and getEntityFinancials

6) Conclusion → #pa-conclusion

Three <p> paragraphs focused on differentiation of the target among its peers. Paragraphs may carry inline citations:

Paragraph 1: How the target differentiates positively vs. weaker peers on quantitative metrics (leverage, coverage, cash flow). Cite specific ratios.
Paragraph 2: Business risk profile comparison — where the target is more concentrated or less diversified vs. stable peers. Reference upgrade/downgrade triggers.
Paragraph 3: Practical positioning — frame the target's "path to stand out" by linking back to the upgrade/downgrade framework and key risk factors.

Section 2 — Ratings Chart (± Probability of Default)

SECTION 2 TITLE RULE — STRICTLY ENFORCED: The heading for Section 2 (in both the TOC <li> and the <div class="section-heading">) must be set conditionally at emit time:

If PD data is available (i.e. pd_comparison is NOT null) → use "Section 2. Ratings Chart & Probability of Default"

If PD data is unavailable (i.e. pd_comparison is null, the MCP server is unreachable, or data is missing for the target or fewer than 2 peers) → use "Section 2. Ratings Chart"

The template ships with the longer title as a placeholder; overwrite it in both locations (#sec2 .section-heading and the matching <li> in <ul class="toc-list">) whenever PD data is absent. Never show "& Probability of Default" in the title if there is no PD panel.

Chart → #pa-ratings-chart

Emit a single inline <svg> block authored by the agent (see SVG template below). The chart plots the last 5 rating actions for each company as a line chart. X-axis uses sequential labels (Rating 1 … Rating 5, most recent first); Y-axis maps Moody's rating symbols to a numeric scale.

PD Panel → #pa-pd-panel

Immediately after the ratings chart, emit the Probability of Default panel as a horizontal bar chart using the same .peer-bar-chart-outer style as the Key Indicators charts in Section 1. If PD data is unavailable, leave #pa-pd-panel empty (the element collapses).

Emit one peer-bar-chart-outer block showing the 1-year PD (%) for each company. Use the same CSS classes and bar-width formula as the KI charts (pbc-fill, pbc-track, pbc-rows, etc.). Include a note row at the bottom with peer median, peer average, and the gap signal.

Signal colouring for the target bar:

pbc-fill subj-neg (red) — target 1-year PD > 2× peer average (pd_signal: "red")
pbc-fill subj-pos (blue) — all other cases

Reference snippet (emit this block directly into #pa-pd-panel):

<div class="peer-bar-chart-outer">
  <div class="pbc-title">PROBABILITY OF DEFAULT — 1-YEAR PD (%)</div>
  <div class="pbc-subtitle">Moody's PD model | Orange line = peer median | Green bar = peer average</div>
  <div class="pbc-rows">
    <!-- Target (subject) row — blue or red depending on pd_signal -->
    <div class="pbc-row">
      <div class="pbc-name subject" title="Target Co">Target Co</div>
      <div class="pbc-track">
        <div class="pbc-median-line" style="left:38.5%"><div class="pbc-median-tip">Median 0.032%</div></div>
        <div class="pbc-fill subj-neg" style="left:0;width:100%"></div>
      </div>
      <div class="pbc-val neg">0.111%</div>
    </div>
    <!-- Peer rows (sorted descending by pd_1yr) -->
    <div class="pbc-row">
      <div class="pbc-name" title="Peer A">Peer A</div>
      <div class="pbc-track">
        <div class="pbc-median-line" style="left:38.5%"></div>
        <div class="pbc-fill peer-pos" style="left:0;width:54.1%"></div>
      </div>
      <div class="pbc-val pos">0.060%</div>
    </div>
    <!-- AVERAGE bar (last, separated by dashed border) -->
    <div class="pbc-row" style="margin-top:6px;padding-top:6px;border-top:1px dashed #d0d7e3">
      <div class="pbc-name average">AVERAGE</div>
      <div class="pbc-track">
        <div class="pbc-fill avg-bar" style="left:0;width:28.8%"></div>
      </div>
      <div class="pbc-val avg-val">0.032%</div>
    </div>
  </div>
  <div class="pbc-note">Peer median 0.032% | Peer avg 0.032% (n=3). Target: 0.111%. Gap: +0.079pp above peer avg (3.5×). PD-implied rating: A1.</div>
  <div class="pbc-note" style="margin-top:4px;font-style:italic">One-sentence PD narrative goes here.</div>
</div>

Bar width calculation: fillW = (pd_1yr / maxPD * 88).toFixed(1) + '%' where maxPD is the maximum 1-year PD across all companies including the target.

Median line position: medPct = (medianPD / maxPD * 88).toFixed(1) + '%'

Analysis → #pa-ratings-analysis

One <p> paragraph on rating trajectories — which companies show improvement, deterioration, or stability, and what that implies for relative credit positioning. May carry inline citations.

Section 3 — ESG Table & Analysis

ESG Table → <tbody id="pa-esg-table">

Write one <tr> per company. Five columns: company name, Overall (CIS-), Environmental (E-), Social (S-), Governance (G-).

Analysis → #pa-esg-analysis

Two <p> paragraphs. Paragraphs may carry inline citations:

Paragraph 1: Compare ESG profiles across the peer set. Identify which companies share similar profiles and what drives the overall classification.
Paragraph 2: Highlight the key differentiator (typically Governance) and explain which company stands out as weaker/stronger and why.

Citations & sources (write last)

#pa-cite-peers — optional <div class="section-citations">…</div> recap for the peers-comparison section. Use the markup defined in skills/shared/citations/SKILL.md. Omit if empty.
#pa-cite-ratings — optional recap for the ratings-chart section. Same markup.
#pa-cite-esg — optional recap for the ESG section. Same markup.
#pa-sources — end-of-document Citations rows. One <div class="source-item"> per source, in [1], [2], … order, using the canonical row markup from the shared citations skill. Internal MCP tool names are NEVER rendered in .source-meta.

Streaming protocol (element → content mapping)

Element ID	Content type
`#pa-report-date`	Plain text date
`#pa-footer-date`	Plain text date (same value)
`#pa-target-company`	Plain text (canonical target name)
`#pa-peer-count`	Plain text integer
`#pa-company-chips`	`<span class="company-chip target">` + `<span class="company-chip">`s
`#pa-cover-img-right`, `#pa-cover-img-bottom`	`<img>` element — set `src` attribute
`<tbody id="pa-peers-table">`	`<tr>` rows (company name + description) with inline citations
`<tbody id="pa-peers-rating">`	`<tr>` rows with `<span class="outlook-badge …">`
`#pa-cd-col-1` … `#pa-cd-col-4`	Plain text (company names)
`#pa-cd-r{1..4}-c{1..4}`	Prose cell content (short `<p>` or plain text) with inline citations
`#pa-ki-charts`	Five `.peer-bar-chart-outer` panels (FCF Margin, Debt/EBITDA, EBITDA Margin, EBITA/Interest, RCF/Net Debt)
`#pa-sc-col-1` … `#pa-sc-col-4`	Plain text (company names, span 2 sub-columns)
`#pa-sc-col-{1..4}-curr`, `#pa-sc-col-{1..4}-fwd`	Plain text sub-header labels (Current / Forward period)
`#pa-sc-r{1..7}-c{1..4}-curr`, `…-fwd`	Plain text scorecard cell values
`#pa-conclusion`	Three `<p>` paragraphs with inline citations
`#pa-ratings-chart`	Single `<div class="chart-container">…<svg>…</svg>…</div>` block
`#pa-pd-panel`	PD comparison panel — horizontal bar chart using `peer-bar-chart-outer` style
`#pa-ratings-analysis`	One `<p>` paragraph with inline citations
`<tbody id="pa-esg-table">`	`<tr>` rows (company + overall + E + S + G)
`#pa-esg-analysis`	Two `<p>` paragraphs with inline citations
`#pa-cite-peers`, `#pa-cite-ratings`, `#pa-cite-esg`	`<div class="section-citations">…</div>` (optional, see shared citations skill)
`#pa-sources`	`<div class="source-item">` rows (see shared citations skill)

If fewer than 3 peers are returned, leave unused column/row IDs empty. Do not collapse or remove cells — the pre-shaped table simply keeps those cells blank.

Reference HTML snippets

Peers table row (<tbody id="pa-peers-table">):

<tr>
  <td class="company-name">Target Co</td>
  <td>Headquartered in Dearborn, Michigan, Target Co is a global automaker with TTM revenue of approximately $180B <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a>, anchored by its F-Series, SUV, and Pro commercial businesses <a href="https://example.com/profile-target" target="_blank" class="cite-ref">[2]</a>.</td>
</tr>

Peers rating row (<tbody id="pa-peers-rating">):

<tr>
  <td class="company-name">Target Co</td>
  <td>Baa3 (Senior Unsecured - Dom Curr / 2024-05-09)</td>
  <td><span class="outlook-badge stable">Stable</span></td>
</tr>

Company chips (#pa-company-chips):

<span class="company-chip target">Target Co</span>
<span class="company-chip">Peer One</span>
<span class="company-chip">Peer Two</span>
<span class="company-chip">Peer Three</span>

ESG table row (<tbody id="pa-esg-table">):

<tr>
  <td class="company-name">Target Co</td>
  <td>CIS-3</td>
  <td>E-4</td>
  <td>S-3</td>
  <td>G-2</td>
</tr>

Credit Drivers — per-cell write (repeat for each of the 20 body cells):

Leverage sustained below 2.5x Debt/EBITDA, EBITA margin above 7%, and sustained positive free cash flow after dividends <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a>.

Conclusion paragraph (inside #pa-conclusion, same inline-citation pattern applies to #pa-ratings-analysis and #pa-esg-analysis):

<p>On pure quantitative credit metrics, Target Co stands out decisively: Debt/EBITDA of 0.7x and EBITA/Interest of 27x are in line with the strongest-scoring peers, while its scale advantage (LTM revenue of $294B vs. $61B and $23B for the peer set) and FCF/Debt of 41% add a differentiation layer the others cannot match <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a><a href="https://example.com/peer-ratings" target="_blank" class="cite-ref">[2]</a>.</p>

Key Indicators — single row (emit the full <tr> for each company inside the #pa-key-indicators table, keeping the per-cell id attributes intact):

<tr>
  <td id="pa-ki-r1-company">Target Co</td>
  <td id="pa-ki-r1-v1">LTM (30 Sep 2025)</td>
  <td id="pa-ki-r1-v2">180.2B</td>
  <td id="pa-ki-r1-v3">155.6B</td>
  <td id="pa-ki-r1-v4">7.8B</td>
  <td id="pa-ki-r1-v5">4.33%</td>
  <td id="pa-ki-r1-v6">13.1B</td>
  <td id="pa-ki-r1-v7">11.88x</td>
  <td id="pa-ki-r1-v8">3.62x</td>
  <td id="pa-ki-r1-v9">136.0B</td>
  <td id="pa-ki-r1-v10">18.5%</td>
</tr>

Scorecard — per-cell write (Current or Forward):

2.7x

Section citations recap (#pa-cite-peers, #pa-cite-ratings, #pa-cite-esg) and sources rows (#pa-sources): see skills/shared/citations/SKILL.md for the canonical markup. Reuse the same [n] numbering across inline references, optional recap blocks, and the end-of-document Citations block. Never include MCP tool names in .source-meta.

Ratings Chart SVG template

Emit the entire chart as a single HTML string into #pa-ratings-chart. The agent authors the SVG directly — there is no runtime script.

Hardcoded constants

Dimensions: W = 700, H = 350
Padding: PAD_L = 70, PAD_R = 30, PAD_T = 30, PAD_B = 50
Plot area: width = W - PAD_L - PAD_R = 600, height = H - PAD_T - PAD_B = 270
Number of x-axis points: maxPts = the largest number of ratings any company has, capped at 5
Palette (first = target): #0066cc, #e6550d, #1a7a4a, #8b5cf6, #d63384

Moody's rating → numeric value map

Rating	Value	Rating	Value
Aaa	21	Ba1	11
Aa1	20	Ba2	10
Aa2	19	Ba3	9
Aa3	18	B1	8
A1	17	B2	7
A2	16	B3	6
A3	15	Caa1	5
Baa1	14	Caa2	4
Baa2	13	Caa3	3
Baa3	12	Ca	2
		C	1

RATING_LABELS (index 0..20 → symbol): ["C", "Ca", "Caa3", "Caa2", "Caa1", "B3", "B2", "B1", "Ba3", "Ba2", "Ba1", "Baa3", "Baa2", "Baa1", "A3", "A2", "A1", "Aa3", "Aa2", "Aa1", "Aaa"].

Coordinate formulae

Compute once per chart:

Collect every rating value across all companies' last-5 series → values[].
minV = clamp(min(values) - 1, 1, 21)
maxV = clamp(max(values) + 1, 1, 21) (ensure maxV > minV; if equal, set maxV = minV + 1)

Per point (i, v) where i is the x-index (0-based) and v is the rating value:

xPos(i) = PAD_L + (i / (maxPts - 1)) * 600 = 70 + (i / (maxPts - 1)) * 600
yPos(v) = PAD_T + 270 - ((v - minV) / (maxV - minV)) * 270 = 30 + 270 - ((v - minV) / (maxV - minV)) * 270

Reference SVG block

<div class="chart-container">
  <div class="chart-title">Last 5 Ratings for Target and Peers</div>
  <svg viewBox="0 0 700 350" width="100%" preserveAspectRatio="xMidYMid meet">
    <!-- Horizontal gridlines + y-axis rating labels (one line + label per rating tick from minV to maxV) -->
    <line x1="70" y1="30"  x2="670" y2="30"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="34" text-anchor="end" font-size="10" fill="#475569">Baa1</text>
    <line x1="70" y1="84"  x2="670" y2="84"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="88" text-anchor="end" font-size="10" fill="#475569">Baa2</text>
    <line x1="70" y1="138" x2="670" y2="138" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="142" text-anchor="end" font-size="10" fill="#475569">Baa3</text>
    <line x1="70" y1="192" x2="670" y2="192" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="196" text-anchor="end" font-size="10" fill="#475569">Ba1</text>
    <line x1="70" y1="246" x2="670" y2="246" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="250" text-anchor="end" font-size="10" fill="#475569">Ba2</text>
    <line x1="70" y1="300" x2="670" y2="300" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="304" text-anchor="end" font-size="10" fill="#475569">Ba3</text>

    <!-- X-axis baseline + tick labels -->
    <line x1="70" y1="300" x2="670" y2="300" stroke="#334155" stroke-width="1.5"/>
    <text x="70"  y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 1</text>
    <text x="220" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 2</text>
    <text x="370" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 3</text>
    <text x="520" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 4</text>
    <text x="670" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 5</text>

    <!-- Target company line (palette[0] = #0066cc) -->
    <path d="M70,138 L220,138 L370,192 L520,192 L670,192"
          fill="none" stroke="#0066cc" stroke-width="2.5"/>
    <circle cx="70"  cy="138" r="4" fill="#0066cc"/>
    <circle cx="220" cy="138" r="4" fill="#0066cc"/>
    <circle cx="370" cy="192" r="4" fill="#0066cc"/>
    <circle cx="520" cy="192" r="4" fill="#0066cc"/>
    <circle cx="670" cy="192" r="4" fill="#0066cc"/>

    <!-- Repeat <path>+<circle>s for peers 2, 3, 4 using palette[1..3] -->
  </svg>
  <div class="chart-legend">
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#0066cc"></span>Target Co</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#e6550d"></span>Peer One</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#1a7a4a"></span>Peer Two</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#8b5cf6"></span>Peer Three</div>
  </div>
</div>

Class-selection rules

.outlook-badge modifier (inside peers-rating rows):

stable — outlook is "Stable"
positive — outlook is "Positive"
negative — outlook is "Negative"
review — outlook contains "Review" (e.g., "Rating Under Review")
na — outlook is missing or unknown

.company-chip.target applies only to the target (first) chip. Remaining chips use plain .company-chip.

Conventions

Use <p> for paragraphs, <ul><li> for bullets, <strong class="subsection-title">…</strong> for bold subheaders inside prose containers.
Emit inline citations per skills/shared/citations/SKILL.md. Inline citations are the primary attribution mechanism — the optional per-section blocks (#pa-cite-peers, #pa-cite-ratings, #pa-cite-esg) remain available as supplementary summary boxes.
Do NOT include overall section titles — the template already has those.
rating values: use Moody's rating symbol (e.g. Aaa, Aa1, Baa2, Ba1). If not found, use N/A.
outlook values: Stable, Positive, Negative, Rating Under Review, or N/A.

Tips

Run ALL data-gathering tool calls in a single parallel batch (one message, many tool calls).
Write the final HTML to disk as a single .html file and deliver it via present_files — do not print the HTML source in the chat, do not split across multiple files.
The target company always appears as the first column / first row in every table and comparison.
The conclusion must orient around the target company — how it differentiates from its peers.
If fewer than 3 peers are returned, leave the unused column/row IDs empty. The pre-shaped tables keep those cells blank — do not attempt to collapse or restructure the table.
If getEntityCreditOpinion does not return a particular section, write Not available in the corresponding cell rather than leaving it blank.
getEntitySectorOutlook typically applies to all companies in the same sector — call once and reuse.
Emit the ratings-chart SVG directly into #pa-ratings-chart — the template no longer builds the chart at render time. Pick the .outlook-badge class yourself using the rules above.
For companies with fewer than 5 historical ratings, either repeat the oldest available rating value to fill the trailing points, or reduce maxPts in the chart formula to the largest available count (and drop the corresponding Rating k x-axis labels).
Inline citations follow the shared citations skill — read skills/shared/citations/SKILL.md before authoring any [n] reference or the Citations block.
PD panel: write the fully rendered HTML directly into #pa-pd-panel using the CSS classes already in the template (.pd-panel, .pd-stats, .pbc-rows, etc.). The template's <script> block handles the data-pd attribute approach as a fallback, but writing innerHTML directly is preferred in the static-artifact delivery mode. If PD data is unavailable, leave #pa-pd-panel empty (the section collapses automatically).
Key Indicators bar charts: write the complete #pa-ki-charts block directly — five .peer-bar-chart-outer panels. Use the CSS classes .pbc-rows, .pbc-row, .pbc-name, .pbc-track, .pbc-fill, .pbc-val, .pbc-median-line, .pbc-median-tip already defined in the template. The FY period header goes in <div class="ki-fy-header"> as the first child of #pa-ki-charts.

Step 7 — Save and deliver the report as a downloadable file

After assembling the complete HTML string (same content that would have been emitted as the fenced code block), write it to disk as a standalone .html file and make it available for the user to download. Do not print the raw HTML in the chat.

File naming

Use the pattern: {target_company_slug}_peer_analysis.html

Where {target_company_slug} is the target company's canonical name lowercased, spaces and special characters replaced with underscores (e.g. apple_inc_peer_analysis.html).

Delivery

After writing the file, use whatever file-presentation capability is available in the current environment to surface the file to the user so they can open or download it. Do not describe the tool being used — just invoke it. Then add one short confirmation sentence, for example: The peer analysis report for [Target Company] is ready to download above.

Do not print the HTML source in the chat. Do not emit a fenced ```html code block. The saved file is the sole deliverable.

Amendment: Always use the most recent fiscal year for Key Indicators and Scorecards

When populating the Key Indicators table (#pa-ki-r{1..4}-*) and the Scorecard table (#pa-sc-r{1..7}-c{1..4}-curr), always use the most recent fiscal year-end (FY) data available from getEntityFinancials — never default to an earlier year simply because the credit opinion's Key Indicators table cites it, or because one peer's most recent year differs from another's.

Procedure

After calling getEntityFinancials with excludeInterimData: true, inspect the returned columns for each entity and identify the latest year with a non-null Revenue value — that is the most recent fiscal year end for that entity.
Use that year's figures for the Key Indicators table and the "Current" column of the Scorecard, regardless of what year the credit opinion's exhibit uses.
If different entities have different most-recent years (e.g. one entity has 2025 data while another only has 2024), use each entity's own most recent year independently and label the #pa-ki-r{n}-v1 cell accordingly (e.g. 2025 FY vs 2024 FY). The #pa-sc-col-{n}-curr sub-header for that entity's Scorecard column must show the same FY label used in the Key Indicators for that entity — this is the consistency requirement. Never use a generic label like Current alone; always include the specific year (e.g. FY2025, FY2024).

Handling distorted EBITDA years

If the most recent fiscal year contains a non-cash charge (e.g. goodwill impairment) that makes reported EBITDA or Debt/EBITDA not meaningful on a reported basis:

Still use that year as the period reference.
Populate EBITDA and ratio cells with the reported figure plus a † marker (e.g. -$1.6B†, N/M†).
Add a footnote below the Key Indicators table explaining the distortion and citing the Moody's-adjusted figure where available from the credit opinion.
Use the Moody's-adjusted ratio (from the credit opinion's Key Indicators table) for the Scorecard leverage cell rather than the distorted reported figure.

Amendment: Visual Enhancements

Three additional visual components are added to the report. Emit them inline as part of the single HTML artifact (same non-negotiable output contract applies). All new elements use only the CSS classes already defined in assets/template.html — no external scripts or libraries.

Visual 1 — Rating Summary Cards (`#pa-rating-cards`)

Placed immediately after the Peers Rating table (sub-heading 2), before sub-heading 3 (Credit Drivers). Emit one .rating-card per company (target first, then peers in order). The target card carries the extra class target-card.

What to populate:

.rc-company — abbreviated company name (≤ 25 chars; truncate with "…" if longer)
.rc-rating — Moody's rating symbol (e.g. Baa2)
.rc-class — rating class + date (e.g. Senior Unsecured / 2024-05-09)
.outlook-badge — outlook badge using the canonical pastel classes (stable, positive, negative, review, na)

Reference snippet (emit one block like this per company inside #pa-rating-cards):

<div class="rating-card target-card">
  <div class="rc-company">Target Co</div>
  <div class="rc-rating">Baa2</div>
  <div class="rc-class">Senior Unsecured / 2024-05-09</div>
  <span class="outlook-badge stable">Stable</span>
</div>

Visual 2 — Revenue Comparison Bar Chart (`#pa-fi-charts`)

Placed immediately after #pa-ki-charts, with no separate sub-heading between them. Both #pa-ki-charts and #pa-fi-charts appear under the same section 4 heading (4) Key Indicators — Peer Bar Charts). Do not emit a <div class="sub-heading"> before #pa-fi-charts. Emit a single peer-bar-chart-outer panel for Revenue only, using exactly the same CSS classes and bar-width formula as the Key Indicators charts.

Note: Debt/EBITDA is already covered in the Key Indicators charts — do NOT add a second Debt/EBITDA chart here. Revenue is the only metric shown in #pa-fi-charts.

Source: getEntityFinancials (same most-recent FY used in Key Indicators). Format: $XB (e.g. $180.2B); if missing write N/A and omit the bar.

Bar width calculation: fillW = (revenue / maxRevenue * 88).toFixed(1) + '%' where maxRevenue is the maximum revenue across all companies including the target and the peer average bar.

AVERAGE bar — REQUIRED: Compute the peer average revenue (arithmetic mean of all resolved peers, excluding the target). Add an AVERAGE bar as the last row, separated by a dashed top border, using class pbc-fill avg-bar (green) and pbc-name average. The AVERAGE bar width uses the same formula: (peerAvgRevenue / maxRevenue * 88).toFixed(1) + '%'. If peerAvgRevenue exceeds maxRevenue, recalculate maxRevenue to include it.

No median line needed for Revenue. Target bar uses pbc-fill subj-pos (blue). Peer bars use pbc-fill peer-pos. Average bar uses pbc-fill avg-bar (green), label class pbc-name average, value class pbc-val avg-val.

Reference snippet:

<div id="pa-fi-charts">
  <div class="peer-bar-chart-outer">
    <div class="pbc-title">REVENUE — COMPANY VS. PEERS</div>
    <div class="pbc-subtitle">FY2025, USD billions</div>
    <div class="pbc-rows">
      <div class="pbc-row">
        <div class="pbc-name subject" title="Target Co">Target Co</div>
        <div class="pbc-track">
          <div class="pbc-fill subj-pos" style="left:0;width:88%"></div>
        </div>
        <div class="pbc-val pos">$180.2B</div>
      </div>
      <div class="pbc-row">
        <div class="pbc-name" title="Peer One">Peer One</div>
        <div class="pbc-track">
          <div class="pbc-fill peer-pos" style="left:0;width:29.7%"></div>
        </div>
        <div class="pbc-val pos">$61.0B</div>
      </div>
      <!-- Repeat for all resolved peers -->
      <!-- AVERAGE bar — always last, separated by dashed border -->
      <div class="pbc-row" style="margin-top:6px;padding-top:6px;border-top:1px dashed #d0d7e3">
        <div class="pbc-name average">AVERAGE</div>
        <div class="pbc-track">
          <div class="pbc-fill avg-bar" style="left:0;width:XX.X%"></div>
        </div>
        <div class="pbc-val avg-val">$XX.XB</div>
      </div>
    </div>
    <div class="pbc-note">Revenue sourced from Moody's financials (most recent FY). Peer avg (n=3): $XX.XB.</div>
  </div>
</div>

Omit bar rows for companies that were not resolved (fewer than 3 peers). Always include the AVERAGE bar as long as at least one peer is resolved.

Visual 3 — ESG Score Heatmap (`#pa-esg-heatmap`)

Placed immediately after the ESG table, before #pa-esg-analysis. Emit a colour-coded HTML table (inside div.esg-heatmap) that makes the CIS and sub-scores scannable at a glance.

Colour mapping — apply a CSS class to each score <td> based on numeric severity (lower CIS/sub-score = better):

Score	Class	Meaning
1	`esg-s1`	Green — minimal risk
2	`esg-s2`	Light green — limited risk
3	`esg-s3`	Amber — moderate risk
4	`esg-s4`	Orange — high risk
5	`esg-s5`	Red — very high risk

Parse the numeric suffix from the Moody's score string (e.g. CIS-3 → 3, E-4 → 4). If the score is N/A or missing, omit the colour class (plain white cell).

Reference snippet:

<table>
  <thead>
    <tr>
      <th>Company</th>
      <th>CIS (Overall)</th>
      <th>E Score</th>
      <th>S Score</th>
      <th>G Score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Target Co</td>
      <td class="esg-s3">CIS-3</td>
      <td class="esg-s4">E-4</td>
      <td class="esg-s3">S-3</td>
      <td class="esg-s2">G-2</td>
    </tr>
    <!-- one <tr> per company, same order as all other tables -->
  </tbody>
</table>

Updated element ID mapping (addendum)

Element ID / selector	Content
`#pa-rating-cards`	`.rating-card` divs — one per company (target first)
`#pa-ki-charts`	Five `.peer-bar-chart-outer` bar chart panels (Key Indicators as bar charts)
`#pa-fi-charts`	Single `.peer-bar-chart-outer` panel (Revenue only)
`#pa-esg-heatmap`	`.esg-heatmap` table with colour-coded CIS / E / S / G scores
`#pa-pd-panel`	PD comparison panel — rendered client-side from `pd_comparison` JSON

Amendment: Section Layout, Ratings Chart, and ESG Display Overrides

Section 1 — Revised sub-section order

Emit sub-sections in this exact order:

Peers Table (<tbody id="pa-peers-table">) — unchanged, as defined above.
Rating Cards only (#pa-rating-cards) — emit the .rating-card blocks as defined in Visual 1. Do NOT emit the <tbody id="pa-peers-rating"> table at all. The cards are the sole representation of peer ratings in Section 1.
Credit Drivers table — unchanged, as defined above.
Key Indicators Bar Charts (#pa-ki-charts) — five horizontal bar chart panels (FCF Margin, Debt/EBITDA, EBITDA Margin, EBITA/Interest, RCF/Net Debt). Do NOT emit the <table id="pa-key-indicators"> at all. The bar charts are the sole representation of key indicator data. Immediately after #pa-ki-charts (with no separate sub-heading), emit the Revenue Bar Chart (#pa-fi-charts) — a single peer-bar-chart-outer panel showing Revenue only. #pa-fi-charts is visually part of section 4; it must not be preceded by its own <div class="sub-heading"> element. Do NOT add a Debt/EBITDA chart here — it is already present in the KI charts above.
Scorecard table — unchanged, as defined above.
Conclusion (#pa-conclusion) — unchanged.

The <table> element whose <tbody> carries id="pa-peers-rating" must be omitted entirely from the emitted HTML. Do not render it, do not hide it with CSS, do not leave an empty wrapper.

The <table id="pa-key-indicators"> must also be omitted entirely. The bar charts in #pa-ki-charts replace it completely.

Section 2 — Enhanced Ratings Chart

Replace the plain SVG line chart described earlier with the enhanced version below. The output must still be emitted inline inside #pa-ratings-chart.

Design goals: visually polished, readable at a glance, clearly differentiates companies with colour and shape, highlights the most-recent rating prominently.

Layout — SVG viewBox "0 0 780 400":

Left padding (y-axis labels): 80 px
Right padding: 30 px
Top padding: 40 px
Bottom padding (x-axis labels + legend): 60 px
Plot area: 670 × 300 px (x: 80→750, y: 40→340)

Y-axis: draw one horizontal gridline + label per rating tier present in the data set (use the minV→maxV range from the coordinate formulae above, but now label with the Moody's symbol, not a number). Gridlines are stroke="#e5e7eb". Labels are font-size="11", fill="#64748b", text-anchor="end" at x="74".

X-axis: draw the baseline (stroke="#334155", stroke-width="1.5"). Label each point with the actual rating date (formatted MMM YYYY, e.g. Jan 2023) instead of Rating N. Labels font-size="10", fill="#64748b", text-anchor="middle", y="358".

Lines: stroke-width="2.5", rounded joins (stroke-linejoin="round", stroke-linecap="round").

Data points: each rating action is a <circle r="5"> filled with the company colour. The most-recent point (rightmost) for each company is instead a <circle r="7"> with a white inner ring — achieved by stacking a white <circle r="4" fill="white"/> on top of the coloured outer circle. Add a <title> element inside each point group for tooltip text: {company} · {rating symbol} · {date}.

Value labels: above each data point, emit a <text> showing the Moody's rating symbol (font-size="9", fill = company colour, text-anchor="middle", dy="-10"). Suppress the label if it would overlap a neighbour (points within 40 px horizontally from the same series can share a label only at the leftmost occurrence; skip the rest in that cluster).

Colour palette: same as all other charts — target #0066cc, peer 1 #e6550d, peer 2 #1a7a4a, peer 3 #8b5cf6.

Legend: emit below the SVG as a <div class="chart-legend"> row (same pattern as before), but add the actual current rating symbol in parentheses after each company name, e.g. Target Co (Baa2).

Reference snippet (abbreviated — fill in real coordinates from the formulae):

<div class="chart-container">
  <div class="chart-title">Rating History — Last 5 Actions</div>
  <svg viewBox="0 0 780 400" width="100%" preserveAspectRatio="xMidYMid meet">

    <!-- Gridlines + Y-axis labels -->
    <line x1="80" y1="40"  x2="750" y2="40"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="74" y="44"  text-anchor="end" font-size="11" fill="#64748b">Baa1</text>
    <!-- … one per tier … -->

    <!-- X-axis baseline -->
    <line x1="80" y1="340" x2="750" y2="340" stroke="#334155" stroke-width="1.5"/>
    <!-- X-axis date labels -->
    <text x="80"  y="358" text-anchor="middle" font-size="10" fill="#64748b">Jan 2021</text>
    <!-- … -->

    <!-- Target company — line -->
    <path d="M80,192 L247,192 L415,138 L582,138 L750,138"
          fill="none" stroke="#0066cc" stroke-width="2.5"
          stroke-linejoin="round" stroke-linecap="round"/>
    <!-- Rating labels above points -->
    <text x="80"  y="182" text-anchor="middle" font-size="9" fill="#0066cc">Baa2</text>
    <!-- Regular points -->
    <circle cx="80"  cy="192" r="5" fill="#0066cc"/>
    <circle cx="247" cy="192" r="5" fill="#0066cc"/>
    <circle cx="415" cy="138" r="5" fill="#0066cc"/>
    <circle cx="582" cy="138" r="5" fill="#0066cc"/>
    <!-- Most-recent point (highlighted) -->
    <circle cx="750" cy="138" r="7" fill="#0066cc"/>
    <circle cx="750" cy="138" r="4" fill="white"/>
    <title>Target Co · Baa1 · Mar 2025</title>

    <!-- Repeat for each peer with palette[1..3] -->
  </svg>
  <div class="chart-legend">
    <div class="chart-legend-item">
      <span class="chart-legend-swatch" style="background:#0066cc"></span>Target Co (Baa1)
    </div>
    <div class="chart-legend-item">
      <span class="chart-legend-swatch" style="background:#e6550d"></span>Peer One (Ba1)
    </div>
    <!-- … -->
  </div>
</div>

Section 3 — ESG: Heatmap Only

Do NOT emit the plain <table> whose <tbody> carries id="pa-esg-table". Remove it entirely from the output HTML — do not render it, do not hide it.

Instead, emit only the colour-coded heatmap table (#pa-esg-heatmap, as defined in Visual 3 above) as the sole ESG data table. Follow it immediately with #pa-esg-analysis.

The heatmap already contains all the same data (company, CIS, E, S, G scores) in a more readable, colour-coded format; the plain table is redundant and must be omitted.

Revised Section 3 emit order:

#pa-esg-heatmap (colour-coded heatmap table — the only ESG table)
#pa-esg-analysis (two analysis paragraphs, unchanged)
Optional #pa-cite-esg recap block (if citations are present)

Summary of omissions (do NOT emit these elements)

Element	Reason
`<table>` wrapping `<tbody id="pa-peers-rating">`	Replaced by rating cards
`<table id="pa-key-indicators">`	Replaced by peer bar charts (`#pa-ki-charts`)
`<table>` wrapping `<tbody id="pa-esg-table">`	Replaced by ESG heatmap

Version History

11c74d6 Current 2026-07-19 09:40

Metadata

Files: 0
Version: 11c74d6
Hash: f0291ec3
Indexed: 2026-07-19 09:40

moody-s-peer-analysis

moody-s-peer-analysis

Trigger Scenarios

Install

SKILL.md

Peer Analysis Skill

⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT

Required MCP servers

Bundled files

Template (shared)

Citations (shared)

Step 1 — Resolve the target company

Step 2 — Discover and resolve peers

Step 3 — Read the template

Step 4 — Gather all data in parallel

Credit Opinion data (per company)

Ratings (per company)

ESG (per company)

Sector outlook (once per sector)

Probability of Default (target + all peers)

Step 5 — Synthesize + emit the complete artifact

Cover / header fields (write first)

Section 1 — Peers Comparison Table & Analysis

Section 2 — Ratings Chart (± Probability of Default)

Section 3 — ESG Table & Analysis

Citations & sources (write last)

Streaming protocol (element → content mapping)

Reference HTML snippets

Ratings Chart SVG template

Hardcoded constants

Moody's rating → numeric value map

Coordinate formulae

Reference SVG block

Class-selection rules

Conventions

Tips

Step 7 — Save and deliver the report as a downloadable file

File naming

Delivery

Amendment: Always use the most recent fiscal year for Key Indicators and Scorecards

Procedure

Handling distorted EBITDA years

Amendment: Visual Enhancements

Visual 1 — Rating Summary Cards (#pa-rating-cards)

Visual 2 — Revenue Comparison Bar Chart (#pa-fi-charts)

Visual 3 — ESG Score Heatmap (#pa-esg-heatmap)

Updated element ID mapping (addendum)

Amendment: Section Layout, Ratings Chart, and ESG Display Overrides

Section 1 — Revised sub-section order

Section 2 — Enhanced Ratings Chart

Section 3 — ESG: Heatmap Only

Summary of omissions (do NOT emit these elements)

Version History

Same Skill Collection

Visual 1 — Rating Summary Cards (`#pa-rating-cards`)

Visual 2 — Revenue Comparison Bar Chart (`#pa-fi-charts`)

Visual 3 — ESG Score Heatmap (`#pa-esg-heatmap`)