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 skills add modelstudioai/OpenAgentPack --skill code-reviewgit clone --depth 1 https://github.com/modelstudioai/OpenAgentPackWrote 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/skills/modelstudioai/openagentpack/code-review)<a href="https://agentmods.dev/skills/modelstudioai/openagentpack/code-review"><img src="https://agentmods.dev/badge/skills/modelstudioai/openagentpack/code-review/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/skills/modelstudioai/openagentpack/code-review"><img src="https://agentmods.dev/badge/skills/modelstudioai/openagentpack/code-review.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 | $0.00015 | $0.00081 |
| Opus 5.5 | $0.00006 | $0.00032 |
| Sonnet 5.5 | $0.00003 | $0.00016 |
| Haiku 4.5 | $0.00002 | $0.00008 |
Grade A, and why
code-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 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
Code Review
Review the provided code for:
- Correctness and logic errors
- Style consistency and naming conventions
- Potential performance issues
- Security vulnerabilities
Provide a structured summary with severity levels (critical, warning, info).
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 · 16 lines · 15 tokens per session scan A a34a0678d9e1
code-review is a skill published in the GitHub repository modelstudioai/OpenAgentPack (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 81 once invoked, about $0.0001 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 skills, from other repositories
pr-review-agent
Deploy or update the PR Review Agent on Omnara, an agent that reviews GitHub pull requests through Omnara's GitHub integration and leaves inline findings. Use when the user asks to deploy, set up, update, or remove the PR review agent.
review-pr
Review a pull request (GitHub) or merge request (GitLab) and provide detailed feedback.
pr-body
A tool that reviews all commits on the current branch and creates or updates a pull request title and description. A pull request is a proposed code change submitted for review.
agentsight-code-review
A review checklist for changes in the AgentSight codebase, compared with the main branch. It checks coding rules, eBPF safety, C-language interfaces, code-size growth, and tests.
iterative-converging-audit
Run any "find all instances of X" sweep — a security audit, a safety audit, a code review, a research question, a compliance check — as an iterative loop that does NOT stop at one pass. Audit → fix → RE-audit → … until a clean pass returns zero NEW discoveries. Use whenever thoroughness matters and a single pass would…
harness-loop
The §5 autonomous-improvement-loop procedure specialized to this harness's own reviewer prompts (agents/code-reviewer.md + agents/security-reviewer.md) — the mission-specific 9-step regulation layered on skills/loop's generic mechanics. NOT for an arbitrary mission (use /loop for that), and NOT for editing…