open-docs: This repository contains documentation created to better understand the open project

by bgauryy · Codex Skill · ★ 513

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

Security audit verdict: SAFE · quality 52/100

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.

anthropicclaude-codeclicodexcodex-clidocumentationdocumentationsgeminigemini-clillm

Quick Facts

Stars513
Forks54
CategoryCodex Skill
Quality Score52/100
Open Issues2
Last Updated2026-01-20
Created2025-10-17
Platformsclaude-code, cli, codex, gemini
Est. Tokens~80k

About open-docs

open-docs Powered by Octocode🐙 The missing manual for AI CLI tools. Deep-dive documentation, implementation secrets, and architecture internals extracted directly from source code. For developers, researchers, and power users who need to look under the hood. Official documentation tells you what a tool does. We show you how it works, what's undocumented, and how to build on top of it.

Compatible Skills

These tools work well together with open-docs for enhanced workflows:

  • codex-mcp-server — semantic(0.21)+complementary+similar_pop+shared_platform (47%)
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  • codesyncer — semantic(0.18)+complementary+rare_topics+similar_pop+shared_platform (46%)

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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