跳到正文
FunCoding

搜索

搜索文档、Skill 和 MCP

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.

代码质量与审查1.3kskills/requesting-code-review/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/ganyuanran/aegis/requesting-code-review/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

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 useful, but they must not bury correctness, evidence, architecture, or retirement problems.

Review readiness is not merge approval. A review can reduce uncertainty and recommend readiness, but it does not replace verification-before-completion and does not grant completion authority.

When to Request Review

Mandatory:

  • After each task in subagent-driven development
  • After completing major feature
  • Before merge to main

Optional but valuable:

  • When stuck (fresh perspective)
  • Before refactoring (baseline check)
  • After fixing complex bug

Required Outputs

Before you leave this workflow, you must be able to state:

  1. What exact scope is being reviewed
  2. What plan, requirement, or contract defines success
  3. What Product / Requirement Baseline defines accepted behavior and non-goals
  4. What Architecture / Runtime Boundary Baseline defines the expected architecture state
  5. What fresh evidence already exists
  6. What compatibility boundary must still hold
  7. What old owner / fallback / patch stays, shrinks, or retires
  8. What the reviewer must specifically validate
  9. Whether the reviewer is providing advisory review only, or also any higher-level merge recommendation
  10. Aegis Visibility: why findings-first ordering, evidence sufficiency, baseline alignment, compatibility, or retirement risk matters for this review request
  11. Semantic context scope: which relevant canonical terms, deprecated aliases, or public naming boundaries the review must preserve

Review in this method pack is advisory and evidence-oriented. It is not authoritative completion by itself.

How to Request

1. Gather minimum review inputs:

  • What was implemented
  • What requirement / plan / spec / ADR it should match
  • What baseline / current authority docs the diff must align with, including requirements/product alignment and architecture/current-authority alignment
  • What evidence already exists (tests, commands, logs, screenshots, diff summary)
  • What compatibility boundary or risk deserves reviewer attention
  • Whether there is any old path, fallback, duplicate owner, or temporary patch that should retire
  • Whether the diff contains durable architecture decisions that need ADR Auto Backfill or baseline sync findings
  • Whether recording-architecture-decisions was used, or should be used, when an ADR action or baseline sync closure is in scope
  • Relevant active CONTEXT.md language when public/domain naming is in scope; passive reading does not load active modeling

If you cannot answer these, stop and gather them before dispatching review.

2. Define the Git review scope:

# Before the coordinator's task commit
REVIEW_SCOPE=working-tree
BASE_SHA=$(git rev-parse HEAD)

# Or for already committed work
REVIEW_SCOPE=committed-range
BASE_SHA=<known-start>
HEAD_SHA=$(git rev-parse HEAD)

For working-tree review, identify task-owned untracked paths explicitly. Do not stage merely to make them visible to a reviewer.

3. Dispatch reviewer subagent:

Use the Task tool with a general-purpose reviewer subagent. Fill the canonical template at requesting-code-review/code-reviewer.md; do not rely on a separate named agent prompt.

Placeholders:

  • {WHAT_WAS_IMPLEMENTED} - What you just built
  • {PLAN_OR_REQUIREMENTS} - What it should do
  • {EVIDENCE} - Fresh tests, commands, logs, or verification already available
  • {COMPATIBILITY_BOUNDARY} - What existing behavior or interfaces must not break
  • {RETIREMENT_NOTES} - Old owner / fallback / patch / duplicate branch and expected disposition
  • {REVIEW_SCOPE} - working-tree or committed-range
  • {BASE_SHA} - Starting commit
  • {HEAD_SHA} - Ending commit, or WORKTREE
  • {DESCRIPTION} - Brief summary

4. Act on feedback:

  • Fix Critical issues immediately
  • Fix Important issues before proceeding
  • Note Minor issues for later
  • Push back if reviewer is wrong (with reasoning)
  • If feedback reveals evidence gaps, run the missing verification instead of arguing from confidence
  • If feedback reveals Design Defect / Implementation Drift, stale logic, or a legacy alias such as architecture drift, decide explicitly whether to repair now, correct the baseline, or record retirement conditions

Example

[Just completed Task 2: Add verification function]

You: Let me request code review before proceeding.

BASE_SHA=$(git log --oneline | grep "Task 1" | head -1 | awk '{print $1}')
HEAD_SHA=$(git rev-parse HEAD)

[Dispatch reviewer subagent using requesting-code-review/code-reviewer.md]
  WHAT_WAS_IMPLEMENTED: Verification and repair functions for conversation index
  PLAN_OR_REQUIREMENTS: Task 2 from docs/aegis/plans/deployment-plan.md
  EVIDENCE: pytest tests/index/test_verify.py -v -> 12 passed
  COMPATIBILITY_BOUNDARY: Existing index format and CLI flags must remain stable
  RETIREMENT_NOTES: Legacy repair fallback still exists in old helper; remove once new path covers all four issue types
  BASE_SHA: a7981ec
  HEAD_SHA: 3df7661
  DESCRIPTION: Added verifyIndex() and repairIndex() with 4 issue types

[Subagent returns]:
  Strengths: Clean architecture, real tests
  Issues:
    Important: Missing progress indicators
    Minor: Magic number (100) for reporting interval
  Assessment: Ready to proceed

You: [Fix progress indicators]
[Continue to Task 3]

Integration with Workflows

Subagent-Driven Development:

  • Review after EACH task
  • Catch issues before they compound
  • Fix before moving to next task

Executing Plans:

  • Review after each batch (3 tasks)
  • Get feedback, apply, continue

Ad-Hoc Development:

  • Review before merge
  • Review when stuck

What the Reviewer Must Check

The review request must prompt the reviewer to inspect at least:

  • Findings First: bugs first, risk first, tests first
  • evidence sufficiency
  • baseline / current authority alignment
  • requirements/product alignment against accepted problem, success evidence, and non-goals
  • architecture/current-authority alignment against owner, contract, source-of-truth, compatibility, and retirement boundaries
  • Design Defect / Implementation Drift classification with scope: requirements | architecture | both
  • legacy phrase mapping: baseline defect, architecture defect, and architecture drift must map back to Design Defect / Implementation Drift rather than becoming parallel result vocabularies
  • duplicate owner risk
  • compatibility boundary
  • missing ADR Auto Backfill or baseline sync findings for durable architecture decisions
  • missing recording-architecture-decisions handoff when ADR action or baseline sync closure is in scope
  • unverified claims or missing proof
  • old logic that should retire, stay temporarily, or converge
  • public-name drift, deprecated-term re-entry, or a semantic change recorded in code/docs without composing establishing-project-context

If the review only asks “is this code good?”, it is underspecified.

Red Flags

Never:

  • Skip review because "it's simple"
  • Ignore Critical issues
  • Proceed with unfixed Important issues
  • Argue with valid technical feedback
  • Treat reviewer approval as equivalent to authoritative completion
  • Ask for review without sharing what evidence already exists
  • Add new logic without telling the reviewer what happens to the old path

If reviewer wrong:

  • Push back with technical reasoning
  • Show code/tests that prove it works
  • Request clarification

Review Boundaries

  • Review can recommend merge readiness, residual risk, and follow-up work
  • Review cannot grant authoritative completion by itself
  • Review should reduce uncertainty, not hide it

See template at: requesting-code-review/code-reviewer.md

相似的 Skill

claude-api
anthropics/skills180k

claude-api

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).

代码质量与审查

ponytail-review
DietrichGebert/ponytail158k

ponytail-review

Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it fast enough, and is every line needed. Reads the connected code, not only the diff. Each finding is explained in plain English. Use for "review this", "code review", "review the last commit", "review my PR", "is this over-engineered", /ponytail-review.

代码质量与审查

code-review-and-quality
addyosmani/agent-skills103k

code-review-and-quality

Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. Use when asked to review a diff or a pull request, even when the diff is pasted inline.

代码质量与审查

documentation-and-adrs
addyosmani/agent-skills103k

documentation-and-adrs

Records decisions and documentation. Use when you need to document an architecture decision (ADR) or the reasoning behind a design choice, when changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.

代码质量与审查

code-simplification
addyosmani/agent-skills103k

code-simplification

Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.

代码质量与审查

understand
Egonex-AI/Understand-Anything86k

understand

Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

代码质量与审查