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review-chamber审查室

Agent Skill

review-chamber 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

881

周安装

36

GitHub Stars

264

下载量

282
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:review-chamber(审查室)
来源仓库:https://github.com/athola/claude-night-market
仓库路径:skills/review-chamber
安装命令:
npx skills add https://github.com/athola/claude-night-market --skill review-chamber
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/athola/claude-night-market --skill review-chamber

简介

review-chamber 用于信息查找、检索与筛选,支持特定领域内容探索。

  • 适用于 Codex、Claude、Cursor、Gemini CLI 中的研究检索任务。
  • 通过 npx 命令从 GitHub 仓库安装该技能。
  • 安装前需评估仓库维护状态及潜在的操作风险。
  • 建议查阅原始文档以确认其在具体场景中的应用方式。

SKILL.md

Table of Contents

PR Review Chamber Skill

Capture, organize, and retrieve knowledge from PR reviews within project memory palaces.

When To Use

  • Capturing PR review knowledge for future reference
  • Building review pattern libraries from past reviews

When NOT To Use

  • Quick self-reviews of trivial changes
  • Automated CI checks that cover the review scope

Overview

The Review Chamber is a dedicated room within each project palace that stores valuable knowledge extracted from PR reviews. It transforms ephemeral PR discussions into persistent, searchable institutional memory.

Room Structure

review-chamber/
├── decisions/      # Architectural choices from PR discussions
├── patterns/       # Recurring issues and their solutions
├── standards/      # Quality bar examples and coding conventions
└── lessons/        # Post-mortems and learnings

Verification: Run the command with --help flag to verify availability.

Workflow Phases

Phase 1: Knowledge Detection

After a PR review completes, evaluate findings for knowledge capture:

## Knowledge Detection Checklist

For each finding from sanctum:pr-review, evaluate:

- [ ] **Novelty**: Is this a new pattern or first occurrence?
- [ ] **Applicability**: Will this affect future PRs in this area?
- [ ] **Durability**: Is this architectural (capture) or tactical (skip)?
- [ ] **Connectivity**: Does it link to existing palace rooms?

Verification: Run the command with --help flag to verify availability.

Phase 2: Classification

Route findings to appropriate subrooms:

Finding TypeTarget RoomCriteria
Architectural choicedecisions/BLOCKING + architectural context
Recurring issuepatterns/Seen before or likely to recur
Quality examplestandards/Exemplifies coding standards
Learning/insightlessons/Retrospective or post-mortem

Phase 3: Capture

Create structured entry with:

---
source_pr: "#42 - Add authentication"
date: 2025-01-15
participants: [author, reviewer1, reviewer2]
palace_location: review-chamber/decisions
related_rooms: [workshop/auth-patterns, library/security-adr]
tags: [authentication, jwt, security]
---

## Decision Title

### Decision
Chose JWT tokens over server-side sessions.

### Context (from PR discussion)
- Reviewer asked: "Why not use sessions?"
- Author explained: stateless scaling requirements
- Discussion refined: added refresh token rotation

### Captured Knowledge
- **Pattern**: JWT + refresh tokens for stateless auth
- **Tradeoff**: Complexity vs. horizontal scaling
- **Application**: Use for all API authentication

### Connected Concepts
- [[auth-patterns]] - Updated with JWT best practices
- [[security-adr-003]] - Referenced this decision

Verification: Run the command with --help flag to verify availability.

Phase 4: Integration

After capture, update related palace rooms:

  1. Add bidirectional links to related entries
  2. Update tags in project palace index
  3. Notify if this contradicts existing entries

Usage Examples

Capture After PR Review

# Automatic: sanctum:pr-review triggers capture
/pr-review 42
# → Review posted to GitHub
# → Knowledge capture evaluates findings
# → Significant decisions stored in review-chamber

# Manual: Explicitly capture from PR
/review-room capture 42 --room decisions

Verification: Run the command with --help flag to verify availability.

Search Past Decisions

# Find authentication decisions
/review-room search "authentication" --room decisions

# Find patterns in a specific area
/review-room search "error handling" --room patterns --tags api

# List recent entries
/review-room list --limit 10 --room standards

Verification: Run the command with --help flag to verify availability.

Surface Relevant Knowledge

When starting work in a code area:

## Relevant Review Knowledge

Starting work in `auth/` directory...

**Past Decisions:**
- [#42] JWT token decision → decisions/jwt-over-sessions
- [#67] Rate limiting pattern → patterns/api-throttling

**Quality Standards:**
- [#55] Error response format → standards/api-errors

**Known Patterns:**
- [#38] Token refresh edge case → patterns/token-refresh-race

Verification: Run the command with --help flag to verify availability.

Integration Points

With sanctum:pr-review

The review-chamber integrates after Phase 6 (Generate Report):

**Verification:** Run the command with `--help` flag to verify availability.
Phase 6: Generate Report
    ↓
[HOOK] Evaluate findings for knowledge capture
    ↓
    For each significant finding:
    ├── Classify into room type
    ├── Create ReviewEntry
    ├── Add to project palace
    └── Update connections
    ↓
Phase 7: Post to GitHub

Verification: Run the command with --help flag to verify availability.

With knowledge-intake

Uses the same evaluation framework:

CriterionWeightPR Review Application
Novelty25%New pattern or first occurrence
Applicability30%Affects future PRs in this area
Durability20%Architectural vs tactical
Connectivity15%Links to existing rooms
Authority10%Senior reviewer or domain expert

With knowledge-locator

Extends search to include review-chamber:

python scripts/palace_manager.py search "authentication" \
  --palace project-name \
  --room review-chamber \
  --type semantic

Verification: Run python --version to verify Python environment.

Evaluation Rubric

Worth Capturing (Score ≥ 60)

  • Architectural decisions with documented rationale
  • Recurring patterns seen in 2+ PRs
  • Security/performance critical findings
  • Domain knowledge that explains business logic
  • Convention changes that affect future code

Skip (Score < 60)

  • One-off tactical fixes
  • Style preferences without rationale
  • Obvious bugs without pattern
  • External dependency issues
  • Temporary workarounds

CLI Reference

# Capture knowledge from PR
/review-room capture <pr_number> [--room <room_type>] [--tags <tags>]

# Search review chamber
/review-room search "<query>" [--room <room_type>] [--tags <tags>]

# List entries
/review-room list [--room <room_type>] [--limit N]

# View entry details
/review-room view <entry_id>

# Export for documentation
/review-room export [--format markdown|json] [--room <room_type>]

# Statistics
/review-room stats [--palace <palace_id>]

Verification: Run the command with --help flag to verify availability.

Best Practices

  1. Capture decisions immediately - Context is freshest right after review
  2. Link related entries - Build the knowledge graph
  3. Use consistent tags - Enable cross-project discovery
  4. Review periodically - Prune outdated entries
  5. Surface proactively - Show relevant knowledge when starting related work

Module Reference

  • See modules/capture-workflow.md for detailed capture process
  • See modules/evaluation-criteria.md for knowledge worth assessment
  • See modules/search-patterns.md for query optimization

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.93%
按下载量换算82

OpenCode

25.87%
按下载量换算73

Cursor

15.95%
按下载量换算45

Codex

11.31%
按下载量换算32

Antigravity

7.36%
按下载量换算21

Gemini CLI

3.48%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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