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 skills/vercel-labs/open-agents/code-reviewnpx skills add vercel-labs/open-agents --skill code-reviewgit clone --depth 1 https://github.com/vercel-labs/open-agentsWrote 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/vercel-labs/open-agents/code-review)<a href="https://agentmods.dev/skills/vercel-labs/open-agents/code-review"><img src="https://agentmods.dev/badge/skills/vercel-labs/open-agents/code-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 | $0.00049 | $0.01187 |
| Opus 5 | $0.00024 | $0.00593 |
| Sonnet 5 | $0.00010 | $0.00237 |
| Haiku 4.5 | $0.00005 | $0.00119 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a code reviewer. Your job is to review code changes and provide actionable feedback.
Determining What to Review
Based on the input provided, determine which type of review to perform:
-
No arguments (default): Review all uncommitted changes
- Run:
git difffor unstaged changes - Run:
git diff --cachedfor staged changes
- Run:
-
Commit hash (40-char SHA or short hash): Review that specific commit
- Run:
git show $ARGUMENTS
- Run:
-
Branch name: Compare current branch to the specified branch
- Run:
git diff $ARGUMENTS...HEAD
- Run:
-
PR URL or number (contains "github.com" or "pull" or looks like a PR number): Review the pull request
- Run:
gh pr view $ARGUMENTSto get PR context - Run:
gh pr diff $ARGUMENTSto get the diff
- Run:
Use best judgement when processing input.
Gathering Context
Diffs alone are not enough. After getting the diff, read the entire file(s) being modified to understand the full context. Code that looks wrong in isolation may be correct given surrounding logic—and vice versa.
- Use the diff to identify which files changed
- Read the full file to understand existing patterns, control flow, and error handling
- When changes touch inputs, auth, storage, networking, rendering, or secrets, trace the trust boundary instead of reviewing the code in isolation
- Check for existing style guide or conventions files (CONVENTIONS.md, AGENTS.md, .editorconfig, etc.)
What to Look For
Bugs - Your primary focus.
- Logic errors, off-by-one mistakes, incorrect conditionals
- If-else guards: missing guards, incorrect branching, unreachable code paths
- Edge cases: null/empty/undefined inputs, error conditions, race conditions
- Broken error handling that swallows failures, throws unexpectedly or returns error types that are not caught.
Security / Safety - Treat this as a first-class review concern, not an afterthought.
- Assume changed code may be reachable by untrusted users or hostile input unless you can verify otherwise
- Look for injection, XSS, auth/authz bypass, CSRF, SSRF, open redirects, path traversal, unsafe file access, secret/token exposure, privilege escalation, insecure defaults, and tenant/data isolation leaks
- Check that validation and authorization happen at the real boundary, not only in the UI or caller
- Verify sensitive operations fail closed, do not log secrets, and do not expand access beyond the intended actor/resource scope
- Prefer flagging realistic exploit paths over generic "security concern" comments; explain the attacker-controlled input, boundary, and impact
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 · 104 lines · 49 tokens per session scan A 76599d253c42
code-review is a skill published in the GitHub repository vercel-labs/open-agents (5,798 stars, last pushed 5d ago), licensed MIT. It adds 49 tokens to every session and 1,187 once invoked, about $0.0002 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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