Openclaw Docs Skill Audit Report | OpenAgentSkill | OpenAgentSkill

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Skill audit report

Openclaw Docs Skill audit report.

An installable AI agent skill that provides deep knowledge of OpenClaw documentation and troubleshooting for coding assistants.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jul 21, 2026Heuristic metadata audit

82

Audit

77

Trust

72

Quality

83

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

77

Strong shortlist

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

Explore

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Trust

Compare Safety Gate Skills Registry Rankings Outcomes Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About OpenAgentSkill API llms.txt OpenAPI CLI Creator Kit X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

PrivacyBuilt for agent-native discovery

Stars, maintenance, license, docs, install safety, permission surface, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

31 GitHub stars

Stars/forks activity

WARN

43

31 stars, 7 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

2d since push

License clarity

PASS

86

AGPL-3.0

README/SKILL.md completeness

PASS

100

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add tbdavid2019/openclaw-docs-skill

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/tbdavid2019/openclaw-docs-skill

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 passed · 8 review

Install path

92

PASS

npx skills add tbdavid2019/openclaw-docs-skill

Repository

88

PASS

https://github.com/tbdavid2019/openclaw-docs-skill

License

86

PASS

AGPL-3.0

Maintenance

100

PASS

2d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

100

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

43

FIX

31 stars, 7 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

31 GitHub stars

Warnings

Low GitHub adoption signal
Quality score needs review
GitHub adoption: 31 GitHub stars
Stars/forks activity: 31 stars, 7 forks; issue activity unavailable in current metadata

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

$ npx skills add tbdavid2019/openclaw-docs-skill

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: CSS + Codex
Alternatives: 2

Open agent JSON

Signals

Audit score: 82/100
Quality: 72/100
Trust: 77/100
Install safety: 92/100
Permission surface: 62/100
Maintenance: 2d since push
Events: 2 events
GitHub stars: 31
Last push: Jul 19, 2026

Agent safety v2

54/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

High-risk permission hints: Shell or command execution
54/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

High-risk permission hints: Shell or command execution
Low GitHub adoption signal

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