Commonly-used-high-value-skills: High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows

by seaworld008 · MCP Server · ★ 73

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

How to install Commonly-used-high-value-skills

git clone https://github.com/seaworld008/Commonly-used-high-value-skills.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.

agentagentic-workflowsaiai-toolsautomationclaude-codecodexhermesllmmcp

Quick Facts

Stars73
Forks10
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score63/100
Open Issues3
Last Updated2026-10-26
Created2026-03-04
Platformsclaude-code, codex, mcp, python
Est. Tokens~20k

About Commonly-used-high-value-skills

Commonly Used High-Value Skills 面向全球 AI 开发者与 Agent 工作流构建者的高价值 Skills 仓库,覆盖开发工程、DevOps、产品设计、运营、办公自动化、金融投资、AI 平台与安全治理等高频任务场景。当前共 16 个分类 / 304 个技能。 为什么值得收藏 一次收齐高频可复用 Skills,减少到处找 prompt、脚本和工作流的时间。 同时兼容 、、、 等多种 AI 工具使用方式。 按场景分类组织,既适合日常检索,也适合二次扩展和团队沉淀。 很多技能不只是文档,还带 、、,可以直接复用。 仓库已经具备发现新 Skill、同步上游更新、候选优选、质量校验和生成视图的自动化链路,适合持续运营而不是一次性收集。 现在支持用策略文件对白名单来源、黑名单来源、优先来源和基础门槛做统一治理,优选结果更稳定、更可控。 已提供...

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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:

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