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 agentmods add commands/agent-anatomy/claude/deploygit clone --depth 1 https://github.com/agent-anatomy/claudeWhat 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 | $0.00007 | $0.00086 |
| Opus 5 | $0.00003 | $0.00043 |
| Sonnet 5 | $0.00001 | $0.00017 |
| Haiku 4.5 | $0.00001 | $0.00009 |
Grade A, and why
deploy 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 2d 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
Prepare this branch for deployment.
Run in order:
npm run lint— fix any errors before continuingnpm test— all tests must passnpm run build— build must succeed- Summarize what's being deployed and flag anything risky
Do not proceed past any failing step. Report the failure clearly.
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.
- 2d ago First seen · 14 lines · 7 tokens per session scan A 1649634c5df8
deploy is a command published in the GitHub repository agent-anatomy/claude (2 stars, last pushed 4mo ago), licensed MIT. It adds 7 tokens to every session and 86 once invoked, about $0.0000 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 commands, from other repositories
create-pr
Create a pull request following the official template.
review-code
Read ALL memory bank code rules + best practices, check the files that changed, and APPLY fixes so they adhere. The active counterpart to /scan (which is read-only). Use after an AI session, before commit, to make changed files compliant.
generate-agents
Command "generate-agents" from chohra-med/expo_boilerplate, covering invocation, how it works, the concern each agent gets (one per agent), rules for the injected block (every agent) and idempotent + the loop.
learn
Command "learn" from chohra-med/expo_boilerplate, covering command: learn — the learning loop (feedback → rules), when to run it, invocation, the loop (6 steps) and 1 — capture.
migrate
Command "migrate" from chohra-med/expo_boilerplate, covering invocation, steps and rule.
audit
Command "audit" from chohra-med/expo_boilerplate, covering invocation, checks and output.