Individual skill
requesting-code-review
Use when requesting independent code review, after implementation slices, before merging high-risk work, or when verification exposes evidence, baseline, architecture, compatibility, or retirement uncertainty.
plugins/GanyuanRan/Aegis/skills/requesting-code-review/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,537
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-coding Repository topic
- awesome Repository topic
- awesome-list Repository topic
- codex Repository topic
- codex-plugins Repository topic
- openai Repository topic
- codex-skill Repository topic
- codex-skills Repository topic
- marketplace Repository topic
- codex-marketplace Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 9,231 bytesSKILL.mdcore · 9,231 bytescode-reviewer.mddoc · 8,518 bytes
Read excerpt
# Requesting Code Review
Dispatch a reviewer subagent using the canonical `code-reviewer.md` template to
catch issues before they cascade. The reviewer gets precisely crafted context
for evaluation — never your session's history. This keeps the reviewer focused
on the work product, not your thought process, and preserves your own context
for continued work.
This skill is the canonical review-request workflow for method-pack implementation work. Use it to request review only after you have enough evidence, enough context, and a clear authority boundary for what the reviewer is being asked to assess.
**Core principle:** Review early, review often.
**Findings First:** Reviews lead with concrete findings before summary. Use
bugs first, risk first, tests first. Strengths and general assessment are still