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Orchestrates multi-domain review (code, arch, tests, security) in a single pass. Use when thorough pre-release review is needed.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/athola/claude-night-market --skill unified-review명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
Turn hunches into accepted results: worthiness score, evidence bar, research-to-rules. Use when vetting ideas. Not for QA; use night-market-validation-and-qa.
Generates and self-executes a diff-derived test plan for a PR. Use when validating PR changes before merge. Do not use for code review; use sanctum:pr-review.
Curate the web-capture index. Use when the capture backlog grows, captures sit unprocessed at seedling/pending, or to surface stored research during work.
| name | unified-review |
| description | Orchestrates multi-domain review (code, arch, tests, security) in a single pass. Use when thorough pre-release review is needed. |
| alwaysApply | false |
| category | orchestration |
| tags | ["review","orchestration","code-quality","analysis","multi-domain"] |
| tools | [] |
| usage_patterns | ["auto-detect-review","full-review","focused-review"] |
| complexity | intermediate |
| model_hint | standard |
| estimated_tokens | 400 |
| progressive_loading | true |
| dependencies | ["imbue:proof-of-work","imbue:structured-output"] |
| orchestrates | ["pensive:rust-review","pensive:api-review","pensive:architecture-review","pensive:bug-review","pensive:test-review","pensive:makefile-review","pensive:math-review","imbue:justify"] |
Intelligently selects and executes appropriate review skills based on codebase analysis and context.
# Auto-detect and run appropriate reviews
/full-review
# Focus on specific areas
/full-review api # API surface review
/full-review architecture # Architecture review
/full-review bugs # Bug hunting
/full-review tests # Test suite review
/full-review all # Run all applicable skills
Verification: Run pytest -v to verify tests pass.
| Codebase Pattern | Review Skills | Triggers |
|---|---|---|
Rust files (*.rs, Cargo.toml) | rust-review, bug-review, api-review | Rust project detected |
API changes (openapi.yaml, routes/) | api-review, architecture-review | Public API surfaces |
Test files (test_*.py, *_test.go) | test-review, bug-review | Test infrastructure |
| Makefile/build system | makefile-review, architecture-review | Build complexity |
| Mathematical algorithms | math-review, bug-review | Numerical computation |
| Architecture docs/ADRs | architecture-review, api-review | System design |
| General code quality | bug-review, test-review | Default review |
| Post-implementation audit | imbue:justify | High add/delete ratio, test changes, new abstractions |
# Detection logic
if has_rust_files():
schedule_skill("rust-review")
if has_api_changes():
schedule_skill("api-review")
if has_test_files():
schedule_skill("test-review")
if has_makefiles():
schedule_skill("makefile-review")
if has_math_code():
schedule_skill("math-review")
if has_architecture_changes():
schedule_skill("architecture-review")
# Default
schedule_skill("bug-review")
Verification: Run pytest -v to verify tests pass.
Dispatch selected skills concurrently via the Agent tool. Use this mapping to resolve skill names to agent types:
| Skill Name | Agent Type | Notes |
|---|---|---|
| bug-review | pensive:code-reviewer | Covers bugs, API, tests |
| api-review | pensive:code-reviewer | Same agent, API focus |
| test-review | pensive:code-reviewer | Same agent, test focus |
| architecture-review | pensive:architecture-reviewer | ADR compliance |
| rust-review | pensive:rust-auditor | Rust-specific |
| code-refinement | pensive:code-refiner | Duplication, quality |
| math-review | general-purpose | Prompt: invoke Skill(pensive:math-review) |
| makefile-review | general-purpose | Prompt: invoke Skill(pensive:makefile-review) |
| shell-review | general-purpose | Prompt: invoke Skill(pensive:shell-review) |
Sub-agent isolation (required):
Dispatch ALL selected agents in a SINGLE parallel Agent tool call. Do not read or process any agent's output until ALL agents have returned their results. Reading the first result before the others are in anchors synthesis toward that perspective: each subsequent result gets evaluated against the first rather than independently. Collect all results, then synthesize once.
Rules:
pensive:math-review is NOT an agent)pensive:code-reviewer covers multiple domains, dispatch once with combined scopegeneral-purpose and instruct it to invoke the Skill toolDeferred capture for backlog findings: Findings that are triaged to the backlog (out-of-scope for the current review or deferred by the team) should be preserved so they are not lost between review cycles. For each finding assigned to the backlog, run:
python3 scripts/deferred_capture.py \
--title "<finding title>" \
--source review \
--context "Review dimension: <dimension>. <finding description>"
The <dimension> value should match the review skill that
surfaced the finding (e.g. bug-review, api-review,
architecture-review).
This runs automatically after the action plan is finalised,
without prompting the user.
Automatically selects skills based on codebase analysis.
Run specific review domains:
/full-review api → api-review only/full-review architecture → architecture-review only/full-review bugs → bug-review only/full-review tests → test-review onlyRun all applicable review skills:
/full-review all → Execute all detected skillsEach review must:
All review skills use a hub-and-spoke architecture with progressive loading:
modules/: Domain-specific details loaded on demandimbue:proof-of-work, imbue:diff-analysis/modules/risk-assessment-frameworkThis reduces token usage by 50-70% for focused reviews while maintaining full capabilities.
If the auto-detection fails to identify the correct review skills, explicitly specify the mode (e.g., /full-review rust instead of just /full-review). If integration fails, check that TodoWrite logs are accessible and that evidence files were correctly written by the individual skills.