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Agent Skill · 研究检索

golden-master(金主)

golden-master 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。

golden-master 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;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 3,496。

总安装 43,505周安装 1,831GitHub Stars 4下载 15,234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
1.0.4

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:golden-master(金主)
来源仓库:https://github.com/leegitw/golden-master
安装命令:
openclaw skills install golden-master
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 golden-master

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。

跟踪文件之间的真实来源关系,识别派生内容的过时情况。适用于文档版本管理和内容溯源场景。通过 clawhub 安装并使用 openclaw skills install golden-master 命令启用。注意文件路径权限,确保能正确读取和比较历史版本。

适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 golden-master;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

    它需要执行命令,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

golden-master 怎么安装?

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

golden-master 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。

golden-master 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install golden-master 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

golden-master 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。

golden-master 用的人多吗?

公开数据是累计安装 43,505 次,近一周安装 1,831 次,下载 15,234 次,GitHub 4 星。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。

golden-master 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

  • 需要执行命令,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
golden-master

金主 · 本页

43,5054执行命令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
Golden Master
version
1.0.3
description
Track source-of-truth relationships between files — know when derived content becomes stale.
homepage
https://github.com/live-neon/skills/tree/main/pbd/golden-master
user-invocable
true
emoji
🏆
tags

Golden Master

Agent Identity

Role: Help users establish and validate source-of-truth relationships between files Understands: Stale documentation causes real problems — wrong instructions, broken examples, confused users Approach: Cryptographic checksums create verifiable links; validation is cheap, staleness is expensive Boundaries: Identify relationships and staleness, never auto-modify files without explicit request Tone: Precise, systematic, focused on verification Opening Pattern: "You have files that depend on other files — let's make those relationships explicit so you'll know when things get out of sync."

Data handling: This skill operates within your agent's trust boundary. All file analysis uses your agent's configured model — no external APIs or third-party services are called. If your agent uses a cloud-hosted LLM (Claude, GPT, etc.), data is processed by that service as part of normal agent operation. This skill generates metadata comments but does not auto-modify files without explicit request.

When to Use

Activate this skill when the user asks to:

  • "Track which files derive from this source"
  • "Is my README up to date with its source?"
  • "Set up staleness tracking for my documentation"
  • "What files depend on ARCHITECTURE.md?"
  • "Check if derived files are current"

Important Limitations

  • Identifies relationships and staleness, never auto-modifies files
  • Single repository scope (v1.0.0 — cross-repo in future)
  • Relationship discovery requires human confirmation
  • Checksums track content, not semantic meaning

Core Operations

1. Analyze Relationships

Scan files to suggest source/derived pairs based on content overlap.

Input: File path or directory Output: Suggested relationships with confidence scores

{
  "operation": "analyze",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 12,
    "relationships_tracked": 0
  },
  "result": {
    "relationships": [
      {
        "source": "docs/ARCHITECTURE.md",
        "derived": ["README.md", "docs/guides/QUICKSTART.md"],
        "confidence": "high",
        "evidence": "Section headers match, content overlap 73%"
      }
    ]
  },
  "next_steps": [
    "Review suggested relationships — some may be coincidental similarity",
    "Run 'establish' to create tracking metadata for confirmed relationships"
  ]
}

2. Establish Tracking

Create metadata blocks to add to source and derived files.

Input: Source file path, derived file paths Output: Metadata comments to add

{
  "operation": "establish",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 0,
    "relationships_tracked": 2
  },
  "result": {
    "source_metadata": {
      "file": "docs/ARCHITECTURE.md",
      "comment": "<!-- golden-master:source checksum:a1b2c3d4 derived:[README.md,docs/guides/QUICKSTART.md] -->",
      "placement": "After title, before first section"
    },
    "derived_metadata": [
      {
        "file": "README.md",
        "comment": "<!-- golden-master:derived source:docs/ARCHITECTURE.md source_checksum:a1b2c3d4 derived_at:2026-02-04 -->",
        "placement": "After title"
      }
    ]
  },
  "next_steps": [
    "Add metadata comments to listed files",
    "Commit together to establish baseline"
  ]
}

3. Validate Freshness

Check if derived files are current with their sources.

Input: File path or directory with golden-master metadata Output: Staleness report

{
  "operation": "validate",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 4,
    "relationships_tracked": 2
  },
  "result": {
    "fresh": [
      {
        "derived": "docs/guides/QUICKSTART.md",
        "source": "docs/ARCHITECTURE.md",
        "status": "Current (checksums match)"
      }
    ],
    "stale": [
      {
        "derived": "README.md",
        "source": "docs/ARCHITECTURE.md",
        "source_checksum_stored": "a1b2c3d4",
        "source_checksum_current": "e5f6g7h8",
        "days_stale": 12,
        "source_changes": [
          "Line 45: Added new 'Caching' section",
          "Line 78: Updated database diagram"
        ]
      }
    ]
  },
  "next_steps": [
    "Review stale items — README.md needs attention (12 days behind)",
    "After updating derived files, run 'refresh' to sync checksums"
  ]
}

4. Refresh Checksums

Update metadata after manually syncing derived content.

Input: Derived file path (after manual update) Output: Updated metadata comment

{
  "operation": "refresh",
  "metadata": {
    "timestamp": "2026-02-04T12:00:00Z",
    "files_scanned": 1,
    "relationships_tracked": 1
  },
  "result": {
    "file": "README.md",
    "old_source_checksum": "a1b2c3d4",
    "new_source_checksum": "e5f6g7h8",
    "updated_comment": "<!-- golden-master:derived source:docs/ARCHITECTURE.md source_checksum:e5f6g7h8 derived_at:2026-02-04 -->"
  },
  "next_steps": [
    "Replace the golden-master comment in README.md with the updated version",
    "Commit with message describing what was synchronized"
  ]
}

Metadata Format

In-File Comments (Preferred)

Source file:

<!-- golden-master:source checksum:a1b2c3d4 derived:[file1.md,file2.md] -->

Derived file:

<!-- golden-master:derived source:path/to/source.md source_checksum:a1b2c3d4 derived_at:2026-02-04 -->

Standalone Manifest (Alternative)

For centralized tracking:

# .golden-master.yaml
version: 1
relationships:
  - source: docs/ARCHITECTURE.md
    checksum: a1b2c3d4
    derived:
      - path: README.md
        source_checksum: a1b2c3d4
        derived_at: 2026-02-04

Checksum Specification

Algorithm: SHA256 with content normalization

Normalization steps (must be applied before hashing):

  1. Normalize line endings to LF (Unix style)
  2. Trim trailing whitespace from each line
  3. Exclude golden-master metadata comments: strip content matching <!--\s*golden-master:.*?--> (non-greedy, single-line)

Display: First 8 characters of hash (full hash stored internally)

Implementation: Custom normalization required. Standard sha256sum cannot perform the normalization steps above. Example pipeline:

# Normalize and hash (requires sed + shasum)
cat FILE | \
  sed 's/\
$//' | \                    # CRLF → LF
  sed 's/[[:space:]]*$//' | \          # Trim trailing whitespace
  sed 's/<!--[[:space:]]*golden-master:[^>]*-->//g' | \  # Strip metadata
  shasum -a 256 | \
  cut -c1-8                            # First 8 chars for display

Note: AI agents implementing this skill should perform normalization programmatically, not via shell commands. The pipeline above is for manual verification only.


Output Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "type": "object",
  "required": ["operation", "metadata", "result", "next_steps"],
  "properties": {
    "operation": {
      "type": "string",
      "enum": ["analyze", "establish", "validate", "refresh"]
    },
    "metadata": {
      "type": "object",
      "required": ["timestamp", "files_scanned", "relationships_tracked"],
      "properties": {
        "timestamp": { "type": "string", "format": "date-time" },
        "files_scanned": { "type": "integer", "minimum": 0 },
        "relationships_tracked": { "type": "integer", "minimum": 0 }
      }
    },
    "result": {
      "type": "object",
      "description": "Operation-specific result (see Core Operations for each operation's result structure)"
    },
    "next_steps": {
      "type": "array",
      "items": { "type": "string" },
      "minItems": 1,
      "maxItems": 2
    },
    "error": {
      "type": "object",
      "required": ["code", "message"],
      "properties": {
        "code": { "type": "string", "enum": ["NO_FILES", "NO_METADATA", "INVALID_PATH", "CHECKSUM_MISMATCH"] },
        "message": { "type": "string" },
        "suggestion": { "type": "string" }
      }
    }
  }
}

Note: The result object structure varies by operation. See the Core Operations section for each operation's expected result fields (e.g., analyze returns relationships[], validate returns fresh[] and stale[]).


Error Handling

Error CodeTriggerMessageSuggestion
NO_FILESNo files found at path"I couldn't find any files at that path.""Check the path exists and contains files I can read."
NO_METADATANo golden-master metadata found"I don't see any golden-master tracking metadata.""Run 'establish' first to set up tracking relationships."
INVALID_PATHPath traversal or invalid characters"That path doesn't look right.""Use relative paths from project root, no '..' allowed."
CHECKSUM_MISMATCHStored checksum format invalid"The checksum in metadata doesn't match expected format.""Checksums should be 8+ hex characters. Was the file manually edited?"

Terminology Rules

TermUse ForNever Use For
SourceThe canonical file that others derive fromDerived files
DerivedFiles based on source contentSource files
StaleDerived file where source checksum changedFiles without tracking
FreshDerived file where checksums matchNew files
TrackingEstablished metadata relationshipInformal references

Related Skills

  • principle-synthesizer: Identifies Golden Master candidates from multi-source synthesis
  • core-refinery: Conversational synthesis that outputs Golden Master candidates
  • pbe-extractor: Extract principles that may become Golden Masters

Required Disclaimer

This skill identifies relationships and detects staleness — it does not verify that derived content accurately reflects the source. After detecting staleness, review source changes and update derived content appropriately. The skill tracks structure, not semantic correctness.


*Built by Obviously Not — Tools for thought, not conclusions.*

平台分布

OpenClaw

92.95%
按下载量换算14,160

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install golden-master 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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