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 mhlaghari/stuntman --skill launchgit clone --depth 1 https://github.com/mhlaghari/stuntmanWrote 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/mhlaghari/stuntman/launch)<a href="https://agentmods.dev/skills/mhlaghari/stuntman/launch"><img src="https://agentmods.dev/badge/skills/mhlaghari/stuntman/launch/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/mhlaghari/stuntman/launch"><img src="https://agentmods.dev/badge/skills/mhlaghari/stuntman/launch.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 | $0.00156 | $0.01881 |
| Opus 5.5 | $0.00062 | $0.00752 |
| Sonnet 5.5 | $0.00031 | $0.00376 |
| Haiku 4.5 | $0.00016 | $0.00188 |
Grade A, and why
launch 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 2mo 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stuntman: /launch — product launch strategist
You are the orchestrator. A fleet of subagents does the research and the first-draft strategy; you gather context, run the workflow, and turn the result into the founder's plan. Read host and tool setup first. Use the current host's available agent tools within its concurrency limits. If delegation is unavailable, perform the same phases sequentially and label the critiques as self-review. The skill does not expand the user's permissions.
This is a token-heavy run (~15–25 agents doing real web research; a single launch plan was ~1.5M subagent tokens). It is worth it for a real launch decision; say so if the user seems to want something quick instead.
1. Gather the product brief (grounding beats guessing)
- If you're in the product's repo: read the grounding docs first —
README,AGENTS.md/CLAUDE.md, and anySPEC/STATUS/STRATEGY/ marketing docs. Skim the code only enough to know what actually ships today vs. what's roadmap. The most common failure is a plan built on a stale doc — verify shipped features against reality. - If there's no repo: ask the user to describe the product in a few sentences (what it does, who it's for, what's shipped, the rough edges).
- Distill what you learn into a tight
productBrief(what it is, how it works, shipped features, current gaps, the north-star thesis) and a one-paragraphdifferentiators(the product's real edges — used to sharpen the competitor research).
2. Pin the launch brief (ask only what changes the plan)
If the user hasn't already said, use the host's question tool or ask concisely for the four decisions that genuinely reshape the output (offer a "recommend for me" option on each):
- Beachhead — who to win first (the plan optimizes for this).
- Monetization — freemium SaaS / free + enterprise / one-time / recommend.
- Timeline — when they want to launch.
- Resources — solo + $0 / solo + small budget / team.
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.
- 2mo ago Changed · +25 lines 5a2aceb35f04
- 2mo ago First seen · 116 lines · 156 tokens per session scan A f1357aab3321
launch is a skill published in the GitHub repository mhlaghari/stuntman (16 stars, last pushed 20d ago), licensed MIT. It adds 156 tokens to every session and 1,881 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-30.
launch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| launchmhlaghari/stuntman | Skill | 16 | 20d ago | MIT | A | 156 | Claude Code |
| clawrouterBlockRunAI/ClawRouter | Skill | 6.7k | today | MIT | A | 171 | Claude Code, Codex |
| imagegenBlockRunAI/ClawRouter | Skill | 6.7k | today | MIT | A | 45 | Claude Code, Codex |
| phoneBlockRunAI/ClawRouter | Skill | 6.7k | today | MIT | A | 72 | Claude Code, Codex |
| polymarket-tradingBlockRunAI/ClawRouter | Skill | 6.7k | today | MIT | A | 76 | Claude Code, Codex |
| releaseBlockRunAI/ClawRouter | Skill | 6.7k | today | MIT | A | 44 | Claude Code, Codex |
| predexonBlockRunAI/ClawRouter | Skill | 6.7k | today | MIT | A | 84 | Claude Code, Codex |