Skill audit report

Harnessclaw Audit report.

Harnessclaw is a powerful, Electron-based desktop application designed to manage, chat with, and operate AI agents and skills seamlessly.

REVIEWED · REVIEWNeeds reviewGenerated Oct 13, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

322 GitHub stars

Stars/forks activity

INFO

322 stars, 83 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

4mo since push

License clarity

PASS

Apache-2.0

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add harnessclaw/harnessclaw

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

https://github.com/harnessclaw/harnessclaw

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 3 Needs review

Install path

PASS

npx skills add harnessclaw/harnessclaw

Repository

PASS

https://github.com/harnessclaw/harnessclaw

License

PASS

Apache-2.0

Maintenance

CHECK

4mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

CHECK

322 stars, 83 forks; issue activity unavailable in current metadata

Adoption

INFO

322 GitHub stars

Warnings

Quality score needs review

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.

Review the source

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: TypeScript + AI Agents
Alternatives: 3

Open agent JSON

Signals

Audit score: 81/100
Quality: 76/100
Trust: 80/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 4mo since push
Events: 12 events
GitHub stars: 322
Last push: Jun 26, 2026

Agent safety v2

69/100 · Avoid automatic install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.
Quality score needs review
69/100 agent safety score

Network access

medium

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

Quality score needs review
Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

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Harnessclaw Audit report.

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