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Agent Skill · 研究检索

nm-sanctum-update-readme(NM sanctum update README 搜索)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

nm-sanctum-update-readme 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 26,490。

总安装 3,560周安装 144GitHub Stars 公开资料未说明下载 1,117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-sanctum-update-readme(NM sanctum update README 搜索)
来源仓库:https://github.com/athola/nm-sanctum-update-readme
安装命令:
openclaw skills install nm-sanctum-update-readme
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-sanctum-update-readme

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。

使用 git-workspace-review 中的存储库上下文刷新 README 结构和内容

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-sanctum-update-readme;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

    它需要需要联网,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-sanctum-update-readme 怎么安装?

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

nm-sanctum-update-readme 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-sanctum-update-readme 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

nm-sanctum-update-readme 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-sanctum-update-readme 用的人多吗?

公开数据是累计安装 3,560 次,近一周安装 144 次,下载 1,117 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-sanctum-update-readme 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 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-sanctum-update-readme

NM sanctum update README 搜索 · 本页

3,560—需要联网MIT-0有提醒

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
update-readme
description
|
version
1.8.2
triggers
metadata
{"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/sanctum", "emoji": "\�\�", "requires": {"config": ["night-market.sanctum:shared", "night-market.sanctum:git-workspace-review", "night-market.imbue:proof-of-work", "night-market.scribe:slop-detector", "night-market.scribe:doc-generator"]}}}
source
claude-night-market
source_plugin
sanctum
Night Market Skill — ported from claude-night-market/sanctum. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

README Update Workflow

When To Use

Use this skill whenever the README requires a structural refresh. Run Skill(sanctum:git-workspace-review) first to capture repo context and diffs.

When NOT To Use

  • Updating inline docs: use doc-updates
  • Consolidating ephemeral reports: use doc-consolidation

Required TodoWrite Items

  1. update-readme:language-audit
  2. update-readme:exemplar-research
  3. update-readme:outline-aligned
  4. update-readme:edits-applied
  5. update-readme:slop-scanned - AI marker detection via scribe
  6. update-readme:verification-reporting

Step 1 - Language Audit (update-readme:language-audit)

  • Confirm pwd, git status -sb, and the baseline branch for reference.
  • Detect dominant languages using repository heuristics (manifest files, file counts).
  • Note secondary languages that influence documentation (e.g., a TypeScript frontend and a Rust backend) so the README can surface both.
  • Record the method and findings.

See modules/language-audit.md for detailed detection patterns and commands.

Step 2 - Exemplar Research (update-readme:exemplar-research)

  • For each primary and secondary language, use web search to locate high-quality READMEs (star count, recency, maintainer activity).
  • Capture 2-3 exemplar repositories per language and summarize why each is relevant (section order, visuals, quickstart clarity, governance messaging, math exposition, etc.).
  • Store citations for every exemplar so the final summary references them explicitly.

See modules/exemplar-research.md for search query patterns and evaluation criteria.

Step 3 - Outline Alignment (update-readme:outline-aligned)

  • Compare current README headings (rg -n '^#' README.md) against patterns observed in exemplars.
  • Draft a target outline covering: value proposition, installation, quickstart, deeper usage/configuration, architecture/feature highlights, performance or math guarantees, documentation links, contribution/governance, roadmap/status, and licensing/security notes.
  • validate internal documents (docs/, specs/, wiki, commands/) are mapped to the relevant sections so the README anchors them with context-sensitive links.

Step 4 - Apply Edits (update-readme:edits-applied)

  • Implement the new structure directly in README.md

(or the specified file).

  • Follow Skill(leyline:markdown-formatting) conventions:

wrap prose at 80 chars (prefer sentence/clause boundaries), blank lines around headings, ATX headings only, blank line before lists, reference-style links for long URLs.

  • Maintain concise, evidence-based prose; avoid marketing fluff.
  • Add comparison tables, feature lists, or diagrams only if

they originate from current repository assets (no speculative content).

  • When referencing algorithms or performance claims, point to

benchmarks or tests within the repository or documented math reviews.

Step 4.5 - AI Slop Detection (update-readme:slop-scanned)

Run Skill(scribe:slop-detector) on the updated README to detect AI-generated content markers.

Scribe Integration

The scribe plugin provides AI slop detection:

Skill(scribe:slop-detector) --target README.md

This detects:

  • Tier 1 words: delve, tapestry, comprehensive, leveraging, etc.
  • Phrase patterns: "In today's fast-paced world", "cannot be overstated"
  • Structural markers: Excessive em dashes, bullet overuse, sentence uniformity
  • Marketing language: "enterprise-ready", "cutting-edge", "seamless"

Remediation

If slop score exceeds 2.0 (moderate), apply Skill(scribe:doc-generator) principles:

  1. Ground every claim with specifics
  2. Remove formulaic openers/closers
  3. Use numbers, commands, filenames over adjectives
  4. Balance bullets with narrative prose
  5. Show authorial perspective (trade-offs, reasoning)

For significant cleanup needs, use:

Agent(scribe:doc-editor) --target README.md

Step 5 - Verification & Reporting (update-readme:verification-reporting)

  • Re-read the updated README for clarity, accessibility (section lengths, bullet balance), and accurate links.
  • Run git diff README.md (or the edited file) and capture snippets for the final report.
  • Summarize detected languages, exemplar sources (with citations), key structural decisions, and follow-up TODOs (e.g., add badges, upload diagrams).

Exit Criteria

  • All TodoWrite items are complete.
  • The README reflects a modern, language-aware structure, referencing both internal docs and external inspiration with citations.
  • Research notes and command references are captured so future reviewers can reproduce the process.

Troubleshooting

Common Issues

Documentation out of sync Run make docs-update to regenerate from code

Build failures Check that all required dependencies are installed

Links broken Verify relative paths in documentation files

平台分布

OpenClaw

90.85%
按下载量换算1,015

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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