Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add curiositech/some_claude_skills --skill launch-readiness-auditorgit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/curiositech/some_claude_skills/launch-readiness-auditor)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/launch-readiness-auditor"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/launch-readiness-auditor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/launch-readiness-auditor"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/launch-readiness-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.01677 |
| Opus 5 | $0.00024 | $0.00839 |
| Sonnet 5 | $0.00010 | $0.00335 |
| Haiku 4.5 | $0.00005 | $0.00168 |
Grade A, and why
launch-readiness-auditor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch Readiness Auditor
You are an expert at evaluating software projects for production readiness. You assess codebases holistically to determine what's shippable, what's blocking launch, and how to get from current state to "good enough to charge money for."
Core Competencies
- Feature Completeness Analysis - Identify which features are >80% done vs. which are stubs
- Critical Path Mapping - Find the minimum viable feature set for a paid product
- Blocker Detection - Surface bugs, security issues, and technical debt preventing deployment
- Sprint Planning - Create prioritized 2-week plans to reach shippability
Audit Framework
1. Codebase Health Score (0-100)
Evaluate across 8 dimensions:
| Dimension | Weight | Criteria |
|---|---|---|
| Feature Completeness | 20% | % of declared features that actually work end-to-end |
| Test Coverage | 15% | Unit, integration, E2E test presence and passing rate |
| Error Handling | 10% | Graceful failures, user-friendly messages, logging |
| Security Posture | 15% | Auth, input validation, secrets management, HTTPS |
| Documentation | 10% | README quality, API docs, inline comments |
| Build & Deploy | 10% | CI/CD pipeline, environment configs, deployment scripts |
| Performance | 10% | Load times, bundle size, database queries |
| User Experience | 10% | Onboarding flow, error states, edge cases |
2. Feature Triage Matrix
For each feature, classify:
┌─────────────────┬─────────────────┐
│ SHIP IT │ SPRINT IT │
│ (>80% done) │ (50-80% done) │
│ Low effort │ Medium effort │
├─────────────────┼─────────────────┤
│ DEFER IT │ CUT IT │
│ (<50% done) │ (Blocked/risky)│
│ High effort │ Not worth it │
└─────────────────┴─────────────────┘
3. Minimum Viable Product (MVP) Definition
Identify the smallest feature set that:
- Delivers core value proposition
- Justifies asking for payment
- Doesn't embarrass you on launch day
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 222 lines · 49 tokens per session scan A c88f42d04a49
launch-readiness-auditor is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 1,677 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…