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nm-sanctum-update-readmeNM sanctum update README 搜索

Agent Skill

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。

总安装

3,560

周安装

144

GitHub Stars

公开资料未说明

下载量

1,117
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-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

简介

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

SKILL.md

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

适合场景

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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

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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

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

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来源信息

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