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/iamironz/ai-config-bundleWrote 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/iamironz/ai-config-bundle/review_code)<a href="https://agentmods.dev/commands/iamironz/ai-config-bundle/review_code"><img src="https://agentmods.dev/badge/commands/iamironz/ai-config-bundle/review_code/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/iamironz/ai-config-bundle/review_code"><img src="https://agentmods.dev/badge/commands/iamironz/ai-config-bundle/review_code.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 | $0.00000 | $0.00068 |
| Opus 5.5 | $0.00000 | $0.00027 |
| Sonnet 5.5 | $0.00000 | $0.00014 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
review_code 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.
This is a copy
83% identical to commit — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Review Code
Input
Use the text the user typed after the command name as the request for this command.
- Treat it as the command input for the shared command doc.
Instructions
Read and follow ai-kb/commands/review_code.md (canonical). If there is a conflict, prefer the shared doc.
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 · 12 lines · 0 tokens per session scan A 60723a083092
review_code is a command published in the GitHub repository iamironz/ai-config-bundle (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 68 tokens. A static security scan graded it A with 0 findings. It is 83% identical to commit, differing in 4 lines, and is treated as a copy.
Other commands, from other repositories
team-review
Launch a multi-reviewer parallel code review with specialized review dimensions.
boot
Start a new PromptKit prompt assembly session (alias for /bootstrap).
react-router-client-loader
Do this in a clientLoader and use loaderData to render the component. DO NOT create mock data, new interfaces, or mock data loader functions. Instead, assume loaderData has all of the data you need to render the component.
pn-audit-data
Design or review database schema — normalization, indexing strategy, migration plan, and data model decisions. Surgical command for database design. Use standalone or as part of pn-backend-audit.
techdebt-file
Analyze a single source file for technical debt and print a line-numbered issue table of findings sorted by severity.
code-simplify
Simplify C# code for clarity and maintainability — reduce complexity without changing behavior.