Ask Codex to Review
SkillDocs & knowledgeMulti-agent code review of GitHub Pull Requests (Python source, documentation (Markdown/RST), and CI/CD config PRs) covering architecture, tests, performance, docs, lint, security, and API design. TRIGGER when: user provides a GitHub PR number (e.g. 42, #42) and asks to review/audit/check it, or pro
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Ask Codex to Review skill
What this skill tells your AI
The instructions your AI receives, as published by borda/ai-rig in plugins/cc_oss/skills/review/SKILL.md and read by ahel’s review.
Parse $ARGUMENTS: optional review instructions; optional model, effort, timeout-seconds, depth, run-id, workspace. Effort omitted: classify complete scope, pass selected level explicitly. Preserve caller-supplied level. Tiers: low = narrow mechanical change or settled fact; medium = bounded implementation, diagnosis, or review; high = cross-file, adversarial, architectural, or security judgment; xhigh = unusually broad and consequential; max = explicit caller request only.
Run python "${CLAUDE_PLUGIN_ROOT}/bin/bridge_call.py" review --task "<instructions>"; pass each supplied option separately. For quoted text you did not author, use scratch file + --task-file <path> instead of --task; mutually exclusive. Bridge runs read-only ephemeral general Codex execution with explicit adversarial-review prompt; default soft budget 300 seconds. Never resume review.
Return compact JSON envelope. Keep raw transcript at bridge-reported workspace-relative artifact path. Do not inline verbose peer details.
Signals
- GitHub stars
- 27
- Forks
- 4
- Last commit
- Sep 2026
- Hacker News mentions
- 20
Advanced
- Catalog kind
- skill
- Gateway key
review-borda- Source
- github.com/borda/ai-rig