365-skills: Agent skills for daily use

by Agents365-ai · Codex Skill · ★ 85

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

How to install 365-skills

npx skills add Agents365-ai/365-skills -g
/plugin marketplace add Agents365-ai/365-skills

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

Security audit verdict: SAFE · quality 60/100

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-skillsai-agentsclaude-codeclicoding-agentsdiagramdrawioimage-generationliterature-reviewmarketplace

Quick Facts

Stars85
Forks15
LanguagePython
CategoryCodex Skill
Quality Score60/100
Last Updated2026-10-16
Created2026-05-06
Platformsclaude-code, cli, python
Est. Tokens~15k

About 365-skills

365 Skills Production-grade skills for AI coding agents by Agents365-ai. Agent-agnostic, works with Claude Code, Cursor, Copilot, OpenClaw & more. English | 中文 Install Install a single plugin (Claude Code): , e.g. . Available plugins Development & CLI design CLI design for AI agents — evaluate, desig

Compatible Skills

These tools work well together with 365-skills for enhanced workflows:

  • research-harness — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)

365-skills alternative? Top 6 similar tools

Looking for a 365-skills alternative? If you're comparing 365-skills with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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