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/madappgang/magus/productiongit clone --depth 1 https://github.com/MadAppGang/magusWrote 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/madappgang/magus/production)<a href="https://agentmods.dev/commands/madappgang/magus/production"><img src="https://agentmods.dev/badge/commands/madappgang/magus/production.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00280 |
| Opus 5 | $0.00011 | $0.00140 |
| Sonnet 5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
production scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
<user_request>$ARGUMENTS</user_request>
- Read
skills/production/SKILL.mdin full first, resolved against this plugin's own directory (the tree this command was loaded from). It is the router: it names which files inskills/production/references/your task actually needs. Read those too before writing code.
Use this for deployment readiness: graceful shutdown, structured logging, health checks, Dockerfiles, signals, CI, or "why did that deploy drop requests".
- Copy
skills/production/assets/production/into the project — logger, shutdown, Dockerfile and dockerignore.example. Move the Dockerfile and.dockerignoreto the repo root. - Shutdown ordering is the whole thing: readiness off → drain delay →
server.stop()→ close resources → exit. Stopping the listener first drops the requests the load balancer is still sending. - Before reporting done: prove shutdown works by sending SIGTERM mid-request and confirming
the in-flight request completes with exit code 0.
/health/livemust touch nothing external.
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.
- 6d ago First seen · 23 lines · 22 tokens per session scan A 09573267de26
production is a command published in the GitHub repository MadAppGang/magus (9 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 280 once invoked, about $0.0001 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.
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