Agent skill

Launch Readiness Auditor

by aaron-he-zhu in aaron-he-zhu/aaron-marketing-skills

A skill your agent uses 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…

Apache-2.0Auto-check passedMarketing & SEO

Install Launch Readiness Auditor

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

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aaron-he-zhu/aaron-marketing-skills launch-readiness-auditor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/launch/mobilize/launch-readiness-auditor .claude/skills/launch-readiness-auditor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
launch-readiness-auditor
GitHub stars
2.9k
Token cost
~2k tokens
SKILL.md length
705 words
Files
2 (incl. references)
Skills in repo
119
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses 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…

  • The user asks to audit our launch plan
  • SKILL.md covers When This Must Trigger, Quick Start, Skill Contract and Data Sources, plus 9 more sections
  • Calls git and python3
  • Are we ready to launch

What it does

Launch Readiness Auditor is an agent skill from aaron-he-zhu/aaron-marketing-skills. 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

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/auditor-runtime.md`). Compatibility notes: Claude Code and compatible agent-skill hosts

It sits in Marketing & SEO, covering Product launch strategy and Feature launches and release readiness. The repository describes itself as: 120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on… The licence is Apache-2.0.

When your agent uses it

  • The user asks to audit our launch plan
  • Are we ready to launch
  • Evaluate launch execution/outcomes
  • Runs one typed RAMP preflight

Example prompts

  • “audit our launch plan”
  • “are we ready to launch”
  • “/launch-readiness-auditor”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts
  • Pre-approved tools (allowed-tools): WebFetch

What it can do on your machine

Read from SKILL.md and the folder at commit d5529cb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • WebFetch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code and compatible agent-skill hosts

    From compatibility in the SKILL.md frontmatter.

Context cost

Launch Readiness Auditor loads about 2k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 705 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aaron-he-zhu/aaron-marketing-skills at commit d5529cb, republished under its Apache-2.0 licence (© aaron-he-zhu). 705 words, ~2,033 tokens.

Download SKILL.mdSave it as .claude/skills/launch-readiness-auditor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
launch-readiness-auditor
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
allowed-tools
WebFetch
compatibility
Claude Code and compatible agent-skill hosts
slug
aaron-launch-readiness-auditor
displayName
Launch Readiness Auditor · 发布就绪审计
summary
发布就绪审计/RAMP分阶段评估/发布前放行
version
20.1.0
license
Apache-2.0
homepage
https://github.com/aaron-he-zhu/aaron-marketing-skills
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…
argument-hint
<launch slug/plan/evidence> [preflight|execution|outcome]
class
auditor
metadata.author
aaron-he-zhu

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

text
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

NeedPreferred evidence
Stage/accessProjected launch record plus direct access/eligibility check
Narrative/claimsCanon version, claims projection, rendered assets
Operations/rulesLaunch plan, commitments, dated official platform rules
InstrumentationVerified events/UTMs and destination truth checks
ExecutionTimestamped action/incident/response evidence
OutcomesOwn 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 ../../../references/auditor-runbook.md, scoring-semantics.md, ramp-benchmark.md, and the RAMP catalog entry. Standalone installs use bundled immutable references/auditor-runtime.md; never fetch mutable main. Before deterministic calls, follow runtime-invocation.md, resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}", and require the scorer, validator, and typed catalogs. If unavailable, return score_state: NOT_SCORED / score_confidence: not_scored with no gate verdict or persistent artifact.

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.
Show full SKILL.md (304 more words)Show less

§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

© aaron-he-zhu, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in launch/mobilize/launch-readiness-auditor of aaron-he-zhu/aaron-marketing-skills.

  • SKILL.md
  • references/auditor-runtime.md

Open the folder on GitHubat commit d5529cb

Compare with similar skills

Launch Readiness Auditor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Launch Readiness Auditor compared with similar skills
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Mvp Launchooiyeefei/ccc495—~1.1kAutomated safety check: PassMIT
60 Launch Playbook Globalminhnv0807/ai-business-skills609—~3kAutomated safety check: PassMIT
Feature Launch Playbookrampstackco/claude-skills945—~6.6kAutomated safety check: PassMIT

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Categories

Questions about Launch Readiness Auditor

What does Launch Readiness Auditor do?

A skill your agent uses 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…. Launch Readiness Auditor is an agent skill from aaron-he-zhu/aaron-marketing-skills. 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.

When should I use Launch Readiness Auditor?

Launch Readiness Auditor fits situations like: the user asks to audit our launch plan; are we ready to launch; evaluate launch execution/outcomes; runs one typed RAMP preflight.

How do I install Launch Readiness Auditor in Claude Code?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-readiness-auditor -a claude-code`. Or copy the skill folder (launch/mobilize/launch-readiness-auditor in aaron-he-zhu/aaron-marketing-skills) into .claude/skills/launch-readiness-auditor in your project. Claude Code loads it when a task matches its description.

How do I install Launch Readiness Auditor in Codex?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-readiness-auditor -a codex`. Or copy the skill folder (launch/mobilize/launch-readiness-auditor in aaron-he-zhu/aaron-marketing-skills) into .agents/skills/launch-readiness-auditor in your project. Codex loads it when a task matches its description.

Can I use Launch Readiness Auditor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill launch-readiness-auditor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/launch-readiness-auditor, .gemini/skills/launch-readiness-auditor, .github/skills/launch-readiness-auditor and .opencode/skills/launch-readiness-auditor in your project.

What does Launch Readiness Auditor need to run?

Going by SKILL.md and its folder, Launch Readiness Auditor needs the command-line tools its instructions call (git and python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: WebFetch. Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts.

Does Launch Readiness Auditor access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Launch Readiness Auditor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Launch Readiness Auditor use?

Launch Readiness Auditor is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Launch Readiness Auditor use?

About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4k tokens, read only when the agent opens those files.

What are the alternatives to Launch Readiness Auditor?

Skills that share tags, products or a category with Launch Readiness Auditor: Launch Planning Frameworks (slgoodrich/agents, 139 stars), Deliver Launch Checklist (product-on-purpose/pm-skills, 716 stars), Mvp Launch (ooiyeefei/ccc, 495 stars) and 60 Launch Playbook Global (minhnv0807/ai-business-skills, 609 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Launch Readiness Auditor?

aaron-he-zhu (a GitHub user) maintains it in aaron-he-zhu/aaron-marketing-skills, which has 2,898 GitHub stars. The repository holds 119 skills in this directory. The repository was last updated on October 11, 2026.

Source: aaron-he-zhu/aaron-marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.