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.
git clone --depth 1 https://github.com/noah-sheldon/ai-dev-kitWrote 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/commands/noah-sheldon/ai-dev-kit/launch)<a href="https://agentmods.dev/commands/noah-sheldon/ai-dev-kit/launch"><img src="https://agentmods.dev/badge/commands/noah-sheldon/ai-dev-kit/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/commands/noah-sheldon/ai-dev-kit/launch"><img src="https://agentmods.dev/badge/commands/noah-sheldon/ai-dev-kit/launch.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 | $0.00011 | $0.00068 |
| Opus 5.5 | $0.00004 | $0.00027 |
| Sonnet 5.5 | $0.00002 | $0.00014 |
| Haiku 4.5 | $0.00001 | $0.00007 |
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 1mo 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.
What it actually says
Launch
Prepare a release by validating the install surface.
Delegate
Apply the planner skill.
Notes
- Keep the workflow bounded and explicit.
- Keep responses short and direct.
- Prefer the maintained skill surface over duplicated prompt logic.
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.
- 1mo ago First seen · 18 lines · 11 tokens per session scan A af6fbf709764
launch is a command published in the GitHub repository noah-sheldon/ai-dev-kit (13 stars, last pushed 6mo ago), licensed MIT. It adds 11 tokens to every session and 68 once invoked, about $0.0000 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.
Other commands, from other repositories
changelog
Create engaging changelogs for recent merges to main branch.
upstream-watch
Review pydantic-ai and pydantic-ai-harness releases published since the last watch entry, and record a verdict in .github/upstream-watch.md.
release-sync
Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge.
release
Release guide version (CHANGELOG + VERSION + README + landing sync + commit + push).
update-infos-release
Update Claude Code releases tracking (guide + landing + version bump).
changelog
View recent CHANGELOG entries.