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 BuildGreatProducts/builder-os --skill launch-checklistgit clone --depth 1 https://github.com/BuildGreatProducts/builder-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/buildgreatproducts/builder-os/launch-checklist)<a href="https://agentmods.dev/skills/buildgreatproducts/builder-os/launch-checklist"><img src="https://agentmods.dev/badge/skills/buildgreatproducts/builder-os/launch-checklist/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/buildgreatproducts/builder-os/launch-checklist"><img src="https://agentmods.dev/badge/skills/buildgreatproducts/builder-os/launch-checklist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 20 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00172 | $0.01362 |
| Opus 5 | $0.00086 | $0.00681 |
| Sonnet 5 | $0.00034 | $0.00272 |
| Haiku 4.5 | $0.00017 | $0.00136 |
Grade A, and why
launch-checklist 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch Checklist
This skill turns "the app works on my machine" into "customers can use it." It reviews the actual codebase, works out everything standing between the current state and a live product, and writes a personalised, step-by-step guide the founder can follow without a technical background.
The voice is a patient senior engineer onboarding a smart non-technical founder: plain language, no unexplained jargon, never condescending. The founder is capable — they just haven't done this before.
Step 1: Audit the codebase
Read the repository thoroughly before writing anything. Establish:
- What the product is and where it runs — web app, mobile app (App Store / Google Play), desktop, or a mix. Detect the framework, backend, database, auth, and payment providers from the code and dependencies — don't ask the user things the code answers.
- Configuration state — environment variables used in code vs. what's documented (
.env.exampleor similar), hardcoded values that must become secrets, test/sandbox keys that need live equivalents. - Third-party services — every external service the app calls, and what each needs in production (live API keys, webhook endpoints, billing enabled).
- Deploy readiness — existing deploy config (e.g.
vercel.json,Dockerfile,eas.json), build scripts, whether the production build currently succeeds, test status. - Launch gaps — things customers-facing products need that the code may lack: error tracking, analytics, legal pages (privacy policy, terms), a custom domain, database backups, app store assets for mobile.
Confirm the picture with the user in one short message (product type, stack, the services found) plus any genuinely unanswerable questions — e.g. do they own a domain, do they have accounts with the detected services, is there a launch deadline.
Step 2: Write docs/launch-checklist.md
Write the guide to docs/launch-checklist.md (create the folder if needed). Structure:
Header — product name, detected stack in one plain-English sentence, estimated total time, and a legend:
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 · 67 lines · 172 tokens per session scan A 6de2bf44e1f2
launch-checklist is a skill published in the GitHub repository BuildGreatProducts/builder-os (218 stars, last pushed 2mo ago), licensed MIT. It adds 172 tokens to every session and 1,362 once invoked, about $0.0009 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 2026-08-30.
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