Agent Skillsmohitagw15856/pm-claude-skills › rfp-scoring-matrix

rfp-scoring-matrix

GitHub

构建加权RFP评估矩阵,生成评分锚点、价格归一化及共识评分协议。输出对比表与授标建议,含敏感性分析,确保评标结果经得起挑战并支持合规决策。

plugins/pm-supplychain/skills/rfp-scoring-matrix/SKILL.md mohitagw15856/pm-claude-skills

Trigger Scenarios

评分RFP响应 比较供应商投标 构建供应商评估矩阵 运行采购事件记分卡 决定授予哪个投标人

Install

npx skills add mohitagw15856/pm-claude-skills --skill rfp-scoring-matrix -g -y
More Options

Non-standard path

npx skills add https://github.com/mohitagw15856/pm-claude-skills/tree/main/plugins/pm-supplychain/skills/rfp-scoring-matrix -g -y

Use without installing

npx skills use mohitagw15856/pm-claude-skills@rfp-scoring-matrix

指定 Agent (Claude Code)

npx skills add mohitagw15856/pm-claude-skills --skill rfp-scoring-matrix -a claude-code -g -y

安装 repo 全部 skill

npx skills add mohitagw15856/pm-claude-skills --all -g -y

预览 repo 内 skill

npx skills add mohitagw15856/pm-claude-skills --list

SKILL.md

Frontmatter
{
    "name": "rfp-scoring-matrix",
    "description": "Build a weighted RFP evaluation matrix and defensible award recommendation. Use when asked to score RFP responses, compare vendor bids, build a supplier evaluation matrix, run a sourcing event scorecard, or decide which bidder to award. Produces a criteria tree with weights, scoring anchors, normalized price scores, a consensus-scored comparison table, and an award recommendation with sensitivity check."
}

RFP Scoring Matrix Skill

An award that can't survive a losing bidder's challenge — or a CFO's "why not the cheapest?" — wasn't really evaluated. This skill builds a weighted evaluation matrix with explicit scoring anchors, normalizes price so cost and capability are comparable, structures consensus scoring across evaluators, and stress-tests the winner before recommending an award.

What This Skill Produces

  • A criteria tree (categories → sub-criteria) with weights that sum to 100%
  • Scoring anchors (what a 1, 3, and 5 looks like) for every criterion
  • A normalized price-scoring method so cost comparisons are apples-to-apples
  • A consensus-scoring protocol for the evaluation team
  • A scored comparison table and award recommendation with a weight-sensitivity check

Required Inputs

Ask for these if not provided:

  • What is being sourced — category, scope, contract length, estimated annual spend
  • The bidders — names or count, and their proposals or a summary of each
  • What matters most — cost pressure vs. capability vs. risk vs. service, in the buyer's words
  • Evaluation team — who scores (procurement, technical, quality, finance) and any mandatory pass/fail gates (certifications, financial health, compliance)
  • Pricing structure — unit prices, tiers, one-time costs, so total cost of ownership can be framed

If the brief is thin, propose a default weighting and label it [assumed — confirm weights before scoring]. Never refuse to draft.

Weighting & Scoring Framework

Default category weights (adjust to the category's risk profile, then lock before opening bids):

Category Default weight Shift up when…
Total cost 30% Commodity item, many qualified suppliers
Capability & fit 30% Custom/engineered item, integration effort
Risk (financial, supply, geographic, compliance) 20% Single-source exposure, long lead times
Service & relationship (SLAs, support, flexibility) 20% High change-rate demand, aftermarket needs

Scoring anchors — define per criterion on a 1–5 scale before scoring: 5 = exceeds requirement with evidence; 3 = meets requirement as written; 1 = material gap or unsubstantiated claim. Never let evaluators invent their own scale mid-scoring.

Price normalization — score on comparable total cost, not headline unit price: lowest compliant bid gets 5; others scored as 5 × (lowest bid ÷ this bid). State the volume scenario used. If bids have different tier structures, price them all at the same forecast volume.

Consensus protocol — evaluators score independently first; then reconcile only criteria where scores differ by ≥2 points, discussing evidence, not averaging silently. Pass/fail gates are applied before weighted scoring — a bidder who fails a gate is out regardless of score.

Output Format

RFP Evaluation: [category / event name]

1. Scope & gates — what's being sourced, spend, and the pass/fail gates applied.

2. Criteria tree & weights — table: Category | Sub-criterion | Weight | Anchor for 5 / 3 / 1.

3. Scoring matrix — table: Criterion | Weight | [Bidder A] | [Bidder B] | … with weighted totals; price row shows the normalization math.

4. Consensus notes — criteria where evaluators diverged ≥2 points and how each was resolved.

5. Award recommendation — recommended bidder, the margin over runner-up, and key negotiation points before signature.

6. Sensitivity check — shift each category weight ±10% (rebalancing the rest): does the winner change? If yes, name the swing criterion and say the decision is weight-sensitive — flag for stakeholder alignment before award.

Quality Checks

  • Weights sum to 100% and were set (or labeled assumed) before scores were assigned
  • Every criterion has written anchors for 5 / 3 / 1 — no unanchored gut scores
  • Price scores are normalized on total comparable cost at a stated volume scenario
  • Pass/fail gates applied before weighting, with any eliminated bidders named
  • Sensitivity check run — the recommendation states whether the winner is robust to ±10% weight shifts
  • Recommendation is defensible to a losing bidder: every score traces to evidence in their proposal

Anti-Patterns

  • Do not average unit prices across volume tiers — price all bids at the same forecast volume
  • Do not set or change weights after seeing the bids — that's reverse-engineering an award
  • Do not let a low price rescue a bidder who failed a mandatory gate
  • Do not average away a 2-point evaluator disagreement — reconcile it with evidence
  • Do not score vendor claims without evidence — an unsubstantiated "yes we can" anchors at 1–2, not 3
  • Do not present an award without the sensitivity check — a winner by 0.1 points at chosen weights is a coin flip, and the readout must say so

Version History

  • 54fad50 Current 2026-07-19 13:13

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Metadata

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Version
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Hash
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Indexed
2026-07-19 13:13

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