readme-generator: Generate professional README.md with 16:9 infographics, SEO-optimized metadata, and structured author sections

by geekjourneyx · Claude Skill · ★ 50

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install readme-generator

npx skills add https://github.com/geekjourneyx/readme-generator

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsclaude-codeclaude-skillscopilot-clideveloper-toolsplaywrightreadme-generatorskills

Quick Facts

Stars50
Forks1
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score65/100
Last Updated2026-06-03
Created2026-04-20
Platformsclaude-code, cli, node
Est. Tokens~13k

About readme-generator

GitHub README Generator 把项目 README 做成一份可以展示的作品。 这是什么 GitHub README Generator 是一个 Agent Skill,用来把普通项目 README 升级成作品集级项目首页。 它不会只替你填模板,而是先阅读项目,提炼背景、价值和使用路径,再生成克制的文案、作品级视觉资产和 GitHub 元信息建议。 为什么需要它 GitHub 项目就是开发者的作品集。README 是读者、招聘者、用户和 AI 搜索首先看到的页面。 很多项目明明有价值,却被冗长说明、小字截图、过度装饰和模板化功能列表削弱了第一印象。这个 Skill 的目标是反过来做:少说废话,放大重点,让项目自己的故事站出来。 你会得到什么 工作方式 它先阅读项目,判断 README 应该是偏作品展示还是偏清晰文档;再提炼项目故事,生成正文、两张以内的视觉资产和...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools