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 justnau1020/claude-os --skill launch-reviewgit clone --depth 1 https://github.com/justnau1020/claude-osWrote 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/justnau1020/claude-os/launch-review)<a href="https://agentmods.dev/skills/justnau1020/claude-os/launch-review"><img src="https://agentmods.dev/badge/skills/justnau1020/claude-os/launch-review/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/justnau1020/claude-os/launch-review"><img src="https://agentmods.dev/badge/skills/justnau1020/claude-os/launch-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00031 | $0.01367 |
| Opus 5 | $0.00015 | $0.00683 |
| Sonnet 5 | $0.00006 | $0.00273 |
| Haiku 4.5 | $0.00003 | $0.00137 |
Grade A, and why
launch-review 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 11d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch Review Pipeline
A structured, multi-phase agent pipeline that evaluates feature readiness through adversarial debate, creates a reviewed action plan, and executes fixes. Each phase runs as an isolated team to prevent context bloat.
Invocation
/launch-review [topic] [--scope "focus areas"] [--constraints "known constraints"]
Examples:
/launch-review "checkout experience" --scope "cart, payment, confirmation"/launch-review "v2 API launch" --constraints "backwards compatible, feature flag gated"
Phase 0: Constraints Gathering (No Team)
Before spawning any agents, the main agent MUST:
- Ask the user for known constraints:
- Legal restrictions (prohibited libraries, data sources, licenses)
- Business rules (budget limits, timeline, must-have vs nice-to-have)
- Scope boundaries (what's in/out of this review)
- Any prior decisions already made
- Check memory for relevant project constraints
- Compile a constraints block that gets injected into every agent's prompt
Format:
CONSTRAINTS (non-negotiable):
- [constraint 1]
- [constraint 2]
DO NOT propose solutions that violate these constraints.
This phase prevents the #1 failure mode: agents recommending something that's already been ruled out.
Phase 1: Debate Team
Create team: TeamCreate with name {topic}-debate
Agents (5):
| Agent | Role | Type |
|---|---|---|
arch-critic |
Code auditor -- finds gaps, bugs, half-baked features | general-purpose |
comp-critic |
Competitive benchmarker -- researches competitors, holds us to that bar | general-purpose |
code-defender |
Argues launch readiness from actual code evidence | general-purpose |
industry-defender |
Argues competitive positioning from market research | general-purpose |
moderator |
Synthesizes all 4 reports, writes verdict | general-purpose |
Flow:
- Spawn all 5 agents. The 4 debaters run in parallel. Moderator is blocked by all 4.
- Each debater sends their report to
moderatorvia SendMessage. - Moderator writes the report to
docs/{TOPIC}_READINESS_REPORT.md. - Moderator sends summary to
team-lead.
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.
- 11d ago First seen · 151 lines · 31 tokens per session scan A cd82ed928dea
launch-review is a skill published in the GitHub repository justnau1020/claude-os (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,367 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 2026-08-31.
Other skills, from other repositories
resolve-pr-comments
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review-code
Review code for bugs, security vulnerabilities, API misuse, consistency issues, simplicity problems, or test coverage gaps by running internal reviews and a peer review in parallel and returning combined findings. Single-concern with a type argument, or full review with no argument. Use when the user asks to "review…
assess-technical-debt
Assess project-wide structural technical debt: complexity hotspots, deprecated API usage, duplication clusters, and architecture rot. Ranks findings by impact and refactor effort into a report at .turbo/technical-debt.md. Use when the user asks to "assess technical debt", "find technical debt", "review technical…
map-codebase
Deep architecture report that fans out parallel inspections across different aspects of the codebase (structure, tech stack, APIs, patterns, data flow, dependencies, testing) and synthesizes findings into a comprehensive document at .turbo/codebase-map.md and .turbo/codebase-map.html. Use when the user asks to "map…
peer-review
Run an independent peer review via Codex. Use when the user asks to "peer review", "peer review my code", "peer review my plan", "get a second opinion", or "independent review".
claude-print
Run a non-interactive Claude Code print-mode call from Codex. Use when the user asks to "claude print", "ask claude", "run claude", "consult claude", or when a Codex Turbo skill needs Claude as an independent peer reviewer.