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nm-memory-palace-review-chambernm 记忆宫殿审查室

Agent Skill

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。

总安装

2,521

周安装

103

GitHub Stars

公开资料未说明

下载量

808
OpenClaw

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

2

许可证

MIT-0

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: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

简介

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。

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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