Code ReviewSAFE
A framework-agnostic, git-native standard for defining AI agents
Overview
A framework-agnostic, git-native standard for defining AI agents
799d6d0ad18cOBSERVED · 2026-10-07Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| cursor | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: code-review
description: "Reviews code diffs and files for security vulnerabilities (OWASP Top 10), error handling, complexity, naming conventions, and performance issues. Use when the user asks to review a PR, pull request, diff, merge request, or code changes."
license: MIT
allowed-tools: lint-check complexity-analysis
metadata:
author: gitagent-examples
version: "1.0.0"
category: developer-tools
---
# Code Review
## Instructions
When reviewing code:
1. Read the full diff or file provided
2. Check for security vulnerabilities (OWASP Top 10)
3. Evaluate error handling completeness
4. Assess code complexity and readability
5. Verify naming conventions and code style
6. Look for performance issues
7. Check for proper input validation
## Output Format
```
## Review Summary
[1-2 sentence overview]
## Findings
### CRITICAL
- [Finding with line reference and fix]
### WARNING
- [Finding with line reference and fix]
### SUGGESTION
- [Finding with line reference and fix]
## What's Done Well
- [Positive observations]
```
### Example Finding
```
### CRITICAL
- **Line 42**: SQL injection vulnerability — user input concatenated directly into query string.
Fix: Use parameterized queries instead of string concatenation.
```python
# Before (vulnerable)
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")
# After (safe)
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
```
```Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
799d6d0ad18cfull audit observations/trust-audit/skill/open-gitagent__code-review.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 799d6d0ad18c | SAFE | B | 89 | first audit |
Questions
What does the Code Review skill do?
A framework-agnostic, git-native standard for defining AI agents
Is Code Review safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Code Review access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Code Review work with?
Its documentation mentions cursor. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (799d6d0ad18c), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.