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Agent Skill · 研究检索

nm-memory-palace-review-chamber(nm 记忆宫殿审查室)

nm-memory-palace-review-chamber 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

nm-memory-palace-review-chamber 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 32,401。

总安装 2,521周安装 103GitHub Stars 公开资料未说明下载 808核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:nm-memory-palace-review-chamber(nm 记忆宫殿审查室)
来源仓库:https://github.com/athola/nm-memory-palace-review-chamber
安装命令:
openclaw skills install nm-memory-palace-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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nm-memory-palace-review-chamber

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和 README 继续核验具体用法。安装命令:openclaw skills install nm-memory-palace-review-chamber。建议确认权限范围和维护状态,避免触发联网或命令执行。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install nm-memory-palace-review-chamber;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

nm-memory-palace-review-chamber 怎么安装?

在终端执行 openclaw skills install nm-memory-palace-review-chamber。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

nm-memory-palace-review-chamber 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

nm-memory-palace-review-chamber 需要什么权限?

权限级别是接触敏感数据。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。

nm-memory-palace-review-chamber 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

nm-memory-palace-review-chamber 用的人多吗?

公开数据是累计安装 2,521 次,近一周安装 103 次,下载 808 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

nm-memory-palace-review-chamber 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
nm-memory-palace-review-chamber

nm 记忆宫殿审查室 · 本页

2,521—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
review-chamber
description
Capture and retrieve PR review knowledge in project memory palaces
version
1.8.2
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/memory-palace", "emoji": "\�\�", "requires": {"config": ["night-market.memory-palace:knowledge-intake", "night-market.sanctum:pr-review"]}}}
source
claude-night-market
source_plugin
memory-palace
Night Market Skill — ported from claude-night-market/memory-palace. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

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

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with --verbose flag

平台分布

OpenClaw

74.85%
按下载量换算605

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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