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PR Review

Review a PR for correctness, security, code quality, and testing issues. TRIGGER when user asks to review a PR, check PR quality, or give feedback on a PR.

Installable skillMITBy HIDORAKAI002Updated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
name: pr-review-883c13f6686d
description: Review a PR for correctness, security, code quality, and testing issues. TRIGGER when user asks to review a PR, check PR quality, or give feedback on a PR.
user-invocable: true
args: "[PR number or URL] — if omitted, finds PR for current branch."
metadata:
  author: autogpt-team
  version: "1.0.0"
---

# PR Review

## Find the PR

```bash
gh pr list --head $(git branch --show-current) --repo Significant-Gravitas/AutoGPT
gh pr view {N}
```

## Read the PR description

Before reading code, understand the **why**, **what**, and **how** from the PR description:

```bash
gh pr view {N} --json body --jq '.body'
```

Every PR should have a Why / What / How structure. If any of these are missing, note it as feedback.

## Read the diff

```bash
gh pr diff {N}
```

## Fetch existing review comments

Before posting anything, fetch existing inline comments to avoid duplicates:

```bash
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments --paginate
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews
```

## What to check

**Description quality:** Does the PR description cover Why (motivation/problem), What (summary of changes), and How (approach/implementation details)? If any are missing, request them — you can't judge the approach without understanding the problem and intent.

**Correctness:** logic errors, off-by-one, missing edge cases, race conditions (TOCTOU in file access, credit charging), error handling gaps, async correctness (missing `await`, unclosed resources).

**Security:** input validation at boundaries, no injection (command, XSS, SQL), secrets not logged, file paths sanitized (`os.path.basename()` in error messages).

**Code quality:** apply rules from backend/frontend CLAUDE.md files.

**Architecture:** DRY, single responsibility, modular functions. `Security()` vs `Depends()` for FastAPI auth. `data:` for SSE events, `: comment` for heartbeats. `transaction=True` for Redis pipelines.

**Testing:** edge cases covered, colocated `*_test.py` (backend) / `__tests__/` (frontend), mocks target where symbol is **used** not defined, `AsyncMock` for async.

## Output format

Every comment **must** be prefixed with `🤖` and a criticality badge:

| Tier | Badge | Meaning |
|---|---|---|
| Blocker | `🔴 **Blocker**` | Must fix before merge |
| Should Fix | `🟠 **Should Fix**` | Important improvement |
| Nice to Have | `🟡 **Nice to Have**` | Minor suggestion |
| Nit | `🔵 **Nit**` | Style / wording |

Example: `🤖 🔴 **Blocker**: Missing error handling for X — suggest wrapping in try/except.`

## Post inline comments

For each finding, post an inline comment on the PR (do not just write a local report):

```bash
# Get the latest commit SHA for the PR
COMMIT_SHA=$(gh api repos/Significant-Gravitas/AutoGPT/pulls/{N} --jq '.head.sha')

# Post an inline comment on a specific file/line
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments \
  -f body="🤖 🔴 **Blocker**: <description>" \
  -f commit_id="$COMMIT_SHA" \
  -f path="<file path>" \
  -F line=<line number>
```

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Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.