Agent Skills
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deep-review
GitHub通过并行调用多个子代理，从正确性、测试、一致性、UX等多角度对代码变更进行深度审查，并汇总生成包含风险等级和验证计划的综合评审报告。
Trigger Scenarios
需要全面评估代码变更的正确性与潜在风险
希望获得涵盖多视角（如性能、安全、架构）的结构化代码评审意见
Install
npx skills add coder/mux --skill deep-review -g -y
SKILL.md
Frontmatter
{
"name": "deep-review",
"advertise": false,
"description": "Sub-agent powered code reviews spanning correctness, tests, consistency, and fit"
}
Deep Review Mode
Provide an excellent code review by defaulting to parallelism.
You should use sub-agents to review the change from multiple angles (correctness, tests, consistency, UX, performance, safety). Each sub-agent should have a focused mandate and return actionable findings with file paths.
Step 0: Establish the review surface
Before reviewing, gather context:
- Identify the change scope:
git diff --name-only(or the file list the user provides). - Skim the diff for intent and risk:
git diff. - Note which layers are touched:
- UI (React/components/styles)
- Main process / backend services
- IPC boundary / shared types
- Tooling/scripts
- Docs
- Tests
If the change is large, split review by module and prioritize high-risk paths.
Spawn the right sub-agents (change-type aware)
Spawn 2–5 sub-agents depending on scope. Tailor them to the change.
Suggested sub-agent set
- Correctness & edge cases (always)
- Goal: find logic bugs, missing error handling, race conditions, broken invariants.
- Tests & verification (always)
- Goal: evaluate test coverage, propose missing tests, suggest commands to validate.
- Consistency & architecture (usually)
- Goal: ensure changes match existing patterns, abstractions, and boundaries.
- UX & accessibility (when UI changed)
- Goal: keyboard flows, a11y, visual consistency, empty/loading/error states.
- Performance & reliability (when hot paths / streaming / IO changed)
- Goal: latency, unnecessary work, blocking calls, memory growth, resilience.
- Docs & developer experience (when docs/scripts/public API changed)
- Goal: clarity, correctness, navigation updates, link integrity.
Synthesize into a single excellent review
When sub-agent results arrive, produce a consolidated review with:
- Summary (what changed + overall risk)
- Issues
- Questions (unknown intent; ask for clarification)
- Suggested validation plan (commands + manual checks)
Issues should have a severity in form of:
| Severity | Description | Example |
|---|---|---|
| P0 | Change must not be merged until resolved | Change would permanently break core workflows if merged. |
| P1 | Change should not be merged | New code will not work as expected due to severe bugs |
| P2 | Consideration required before merging | The change creates inconsistency / fragility |
| P3 | Minor issue | The change introduces a minor issue that may be addressed later |
| P4 | Long-term issue | The change raises concerns about long-term maintainability or may break under rare conditions |
Review rubric
Use this rubric to avoid blind spots:
- Correctness: invariants, edge cases, error handling, races
- Fitness: does it meet the user goal, and does it match product constraints?
- Tests: coverage of new logic, regression tests, deterministic behavior
- Consistency: patterns, naming, types, boundaries, IPC typing
- Maintainability: complexity, duplication, readability
- Performance: hot paths, streaming, excessive re-renders/IO
- Safety: secrets, path traversal, injection risks, filesystem safety
- DX: logs, error messages, debuggability
Anti-patterns
- Single-threaded review of a large change (spawn sub-agents).
- Vague feedback (“looks good”) without actionable items and file paths.
- Non-verifiable suggestions (always include a validation plan).
- Scope creep disguised as review (focus on minimal changes unless risk demands more).
Version History
- ac87089 Current 2026-08-20 09:55
