computer-science-skills-collection: 计算机专业 Skills 大合集:610 个 Claude Code / OpenClaw 风格 skills,覆盖编程、前后端、云平台、AI Agent

by bighardperson · Codex Skill · ★ 60

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

How to install computer-science-skills-collection

git clone https://github.com/bighardperson/computer-science-skills-collection.git

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

Security audit verdict: SAFE · quality 63/100

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.

ai-agentautomationawesome-listclaude-codecomputer-sciencedeveloper-toolsprompt-engineeringskills

Quick Facts

Stars60
Forks10
LanguagePython
CategoryCodex Skill
Quality Score63/100
Last Updated2026-04-26
Created2026-04-26
Platformsclaude-code, python
Est. Tokens~15k

About computer-science-skills-collection

计算机专业 Skills 大合集 这是一个面向计算机专业学生、开发者和 AI Agent 使用者的 Skills 大合集。它整理了本机 Claude Code / OpenClaw 风格的 skill 库,覆盖编程语言、前后端、移动端、云服务、AI Agent、浏览器自动化、数据分析、科研论文、文档办公、安全审计和效率工作流等方向。 这个仓库的目标不是把资料堆在一起,而是把可复用的能力沉淀成一套可以浏览、复制、二次开发的知识库:你可以把它当成技能提示词库、AI Agent 工作流模板库,也可以把它当成计算机专业实践方向的路线图。 一键下载 如果你只是想先把全部 skills 拉到本地,推荐直接下载 Release: 如果你想持续同步更新,推荐 clone 仓库: 想快速装到本机 skills 目录,可以运行: bash bash scripts/install.sh...

Compatible Skills

These tools work well together with computer-science-skills-collection for enhanced workflows:

  • SKILLS_All-in-one — semantic(0.28)+complementary+shared_fw(react)+same_lang+similar_pop+shared_platform (68%)

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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 Codex Skill tools