Agent Skills › aaron-he-zhu/aaron-marketing-skills › launch-readiness-auditor

launch-readiness-auditor

GitHub

Launch Readiness Auditor用于对发布计划进行分阶段审计(预检、执行、结果),评估就绪状态与证据,提供Go/No-Go决策支持,不涉及实际执行或注册表变更。

launch/mobilize/launch-readiness-auditor/SKILL.md aaron-he-zhu/aaron-marketing-skills

Trigger Scenarios

用户询问是否准备好发布或需要发布前审计 需要在发布窗口期间或之后评估执行质量与结果

Install

npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-readiness-auditor -g -y
More Options

Non-standard path

npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/launch/mobilize/launch-readiness-auditor -g -y

Use without installing

npx skills use aaron-he-zhu/aaron-marketing-skills@launch-readiness-auditor

指定 Agent (Claude Code)

npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-readiness-auditor -a claude-code -g -y

安装 repo 全部 skill

npx skills add aaron-he-zhu/aaron-marketing-skills --all -g -y

预览 repo 内 skill

npx skills add aaron-he-zhu/aaron-marketing-skills --list

SKILL.md

Frontmatter
{
    "name": "launch-readiness-auditor",
    "slug": "aaron-launch-readiness-auditor",
    "class": "auditor",
    "license": "Apache-2.0",
    "summary": "发布就绪审计\/RAMP分阶段评估\/发布前放行",
    "version": "20.2.0",
    "homepage": "https:\/\/github.com\/aaron-he-zhu\/aaron-marketing-skills",
    "metadata": {
        "phase": "mobilize",
        "author": "aaron-he-zhu",
        "hermes": {
            "tags": [
                "marketing",
                "launch",
                "mobilize"
            ],
            "category": "launch"
        },
        "version": "20.2.0",
        "openclaw": {
            "emoji": "🚀",
            "homepage": "https:\/\/github.com\/aaron-he-zhu\/aaron-marketing-skills"
        },
        "discipline": "launch",
        "geo-relevance": "low"
    },
    "description": "Use when the user asks to \"audit our launch plan\", \"are we ready to launch\", or evaluate launch execution\/outcomes; runs one typed RAMP preflight, execution, or outcome profile without mixing time horizons. Not for recording launch state — use launch-registry; not for running launch day — use launch-day-conductor. 发布就绪审计\/RAMP分阶段评估\/发布前放行",
    "displayName": "Launch Readiness Auditor · 发布就绪审计",
    "when_to_use": "Use for launch-eve readiness, an observed launch-window execution audit, or a post-lag outcome review. Each run uses one lifecycle profile and never averages plans, execution, and outcomes.",
    "allowed-tools": "WebFetch",
    "argument-hint": "<launch slug\/plan\/evidence> [preflight|execution|outcome]",
    "compatibility": "Claude Code and compatible agent-skill hosts"
}

Launch Readiness Auditor

Audit one launch at one lifecycle read. Preflight evaluates readiness/assets plus planned policy and instrumentation red lines; execution evaluates observed launch-window operation; outcome evaluates post-lag proof. There is no cross-time composite.

When This Must Trigger

  • Before a committed launch/announcement when go/no-go evidence is needed.
  • During/after the launch window when execution quality must be assessed.
  • After the declared lag when actual outcomes and learnings are reviewed.

Quick Start

Run RAMP preflight for launch alpha against the registry stage, canon, claims, rules, and event QA.
Run the outcome profile at day 30; keep it separate from the preflight result.

Skill Contract

Reads: one launch, one lifecycle read, registry/canon/claims state, and profile-specific evidence. Writes: only a permissioned v3 artifact. Done when: the selected profile is complete or its exact Unknowns are reported, with no launch execution or registry mutation.

launch-registry owns stage/date/embargo facts. launch-day-conductor executes the runbook. This auditor only judges the frozen evidence.

Data Sources

Need Preferred evidence
Stage/access Projected launch record plus direct access/eligibility check
Narrative/claims Canon version, claims projection, rendered assets
Operations/rules Launch plan, commitments, dated official platform rules
Instrumentation Verified events/UTMs and destination truth checks
Execution Timestamped action/incident/response evidence
Outcomes Own analytics/CRM/store truth after declared lag

Instructions

Runtime Reads

  • ../../../references/auditor-runbook.md
  • ../../../references/scoring-semantics.md
  • ../../../references/ramp-benchmark.md
  • ../../../references/runtime-invocation.md
  • references/auditor-runtime.md

Runtime and Setup

Read the declared root runtime sources and selected framework/catalog entry. Standalone installs use the bundled immutable references/auditor-runtime.md; never fetch mutable main or guess missing policy. Before deterministic calls, follow runtime-invocation.md and resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}". Require the scorer, validator and typed catalogs. If unavailable, collect the selected profile's typed observations and Unknowns, but return score_state: NOT_SCORED / score_confidence: not_scored without a gate verdict or persistent artifact. Record the bound schema, runbook and catalog versions.

Declare profile/lifecycle read (preflight|execution|outcome), target launch, launch type, market, access model, observation date, and evidence window.

Profile Procedure

  • Preflight: score R1–R10, A1–A10, planned M1, and P1. A public pricing page is required only when the declared access model promises public paid availability.
  • Execution: score observed M1–M10; do not substitute planned runbook quality for actual execution.
  • Outcome: score P2–P10 after the declared lag; do not backfill forecast targets as actuals.

Every observed state needs source/date/type/confidence. Missing applicable evidence is Unknown; catalog-authorized conditional items may be N/A with reason. Run python3 "$AARON_SKILLS_ROOT/scripts/rubric-score.py" score <run.json> on the selected typed profile.

Verify profile-relevant vetoes: RAMP-R1 stage/access contradiction, RAMP-A1 material claim/disclosure failure, RAMP-M1 planned or observed manipulation/embargo/platform violation, and RAMP-P1 demonstrably broken instrumentation on participating surfaces.

§2 RAMP Worked Examples

  • Complete preflight, raw 80, no veto/fail: DONE/SHIP, final 80.
  • Complete preflight, raw 76, one verified A1 failure: DONE_WITH_CONCERNS/FIX, final 59.
  • Complete preflight, verified R1 and M1 failures: DONE/BLOCK, no final score.
  • Outcome read before conversion lag or without own-data actuals: NEEDS_INPUT/UNDECIDED, no score.

§3 RAMP Guardrails

  • Stage truth follows promised access/eligibility; a pricing page is not universal evidence of GA.
  • A genuine feedback request is not vote solicitation.
  • Privacy-limited modeled measurement may be Partial; broken required instrumentation is P1 Fail.
  • Launch stacking/capacity is an M10 finding, not an automatic veto.
  • Never average preflight, execution, and outcome profiles or compare their scores as the same construct.

§5 RAMP Translation

State lifecycle read with every result. On trace request, qualify RAMP-R1/A1/M1/P1, especially against colliding ROAS IDs.

Report and Verdict

Begin with the auditor-runbook's exact typed conversation header. Never replace status, verdict, or score_state with prose; list each explicitly missing qualified item as ``ID: `unknown``` before findings.

Use the stable catalog ID verbatim (for example, `RAMP-R1`); never substitute an evidence-subcheck label or synthesize a suffixed ID such as `RAMP-R1d`.

Lead with lifecycle-specific verdict, target/context/date, score or coverage/interval, confidence, profile detail, linked prior reads, critical evidence, Unknowns, and fix/rerun owner. A preflight SHIP authorizes no external launch action by itself; explicit execution approval remains required.

Validation Checkpoints

  • One launch and one lifecycle profile are declared.
  • Plan, execution, and outcome evidence were not mixed.
  • Expected items only are scored; Unknown/N/A semantics are correct.
  • Stage/access, policy, claims, and instrumentation vetoes are positively verified.
  • No launch, submission, registry, or campaign side effect occurred.

Persistence

Persist only after explicit authorization to memory/audits/launch/YYYY-MM-DD-<topic>.md. Preserve the scorer's orthogonal status and verdict; validate the complete v3 draft with validate-audit-artifact.py against the intended relative path, persist only through one full-content Write, and revalidate the target per the auditor runbook. Edit/shell/MCP mutations of the reserved sink are unsupported. Create separate files for separate lifecycle reads and link them by launch ID rather than overwriting.

Reference Materials

Next Best Skill

Version History

  • 4a4c982 Current 2026-11-03 02:43

    简化运行时逻辑、评估机制及基准表编写流程;移除重复的编写工具和可选研究模块,统一目录遍历并生成权威基准表。

  • 3840622 2026-09-03 10:15

    添加跨学科控制工件运行时支持

  • 2e8d35d 2026-08-28 12:20

    版本更新至20.0.0,重新定位为AI Staff角色,统一120个技能的发布门禁标准。

  • 8ebe52f 2026-08-20 02:02
  • bc7d62d 2026-07-25 08:08

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