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/chaohong-ai/ai-auto-work/develop-reviewgit clone --depth 1 https://github.com/chaohong-ai/ai-auto-workWrote 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/chaohong-ai/ai-auto-work/develop-review)<a href="https://agentmods.dev/commands/chaohong-ai/ai-auto-work/develop-review"><img src="https://agentmods.dev/badge/commands/chaohong-ai/ai-auto-work/develop-review.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 | $0.00017 | $0.03242 |
| Opus 5 | $0.00009 | $0.01621 |
| Sonnet 5 | $0.00003 | $0.00648 |
| Haiku 4.5 | $0.00002 | $0.00324 |
Grade A, and why
develop-review 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 5d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 253 lines · 17 tokens per session scan A cc978710b149
develop-review is a command published in the GitHub repository chaohong-ai/ai-auto-work (132 stars, last pushed 1mo ago), with no licence file. It adds 17 tokens to every session and 3,242 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 2026-08-30.
Other commands, from other repositories
validate
You are the quality gate. Your job is to verify that a phase's implementation meets quality standards before the team moves to the next phase. No phase should advance until validation passes.
implement
You are the phase dispatcher. Your job is to route implementation work to the correct phase agent with the right context.
phased-plan
You are generating a 7-phase implementation plan that maps a user story to the structured development workflow.
retro
You are generating a retrospective report for a completed feature. Your job is to analyze git history and project artifacts to surface patterns, measure delivery quality, and suggest workflow improvements.
progress
You are generating a visual progress report showing which phases are complete, in-progress, or pending for the current feature.
commit
You are creating a conventional commit scoped to the current phase of work.