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.
skills/requesting-code-review/SKILL.md
Source commit 952b150a16b9cf9c702022ea779bcc6750b0d48d
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 9, 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)
- 1,425
- Repository last updated
- Nov 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-coding Repository topic
- architecture-driven-development Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- evidence-driven Repository topic
- opencode Repository topic
- software-architecture 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