Skill audit report

Agent Protocol Audit report.

Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

REVIEWED · REVIEWNeeds reviewGenerated Oct 12, 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

PASS

1.5K GitHub stars

Stars/forks activity

INFO

1.5K stars, 185 forks; issue activity unavailable in current metadata

Recent maintenance

FAIL

2y since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

network or browser surface

Install availability

PASS

npx skills add agi-inc/agent-protocol

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

network or browser access

Repository evidence

PASS

https://github.com/agi-inc/agent-protocol

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 6 Needs review

Install path

PASS

npx skills add agi-inc/agent-protocol

Repository

PASS

https://github.com/agi-inc/agent-protocol

License

PASS

MIT

Maintenance

FIX

2y since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

network or browser access

Stars/forks activity

CHECK

1.5K stars, 185 forks; issue activity unavailable in current metadata

Adoption

PASS

1.5K GitHub stars

Warnings

Repository appears stale
Repository looks stale
Quality score needs review
Recent maintenance: 2y since push

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: Python + AI Agents
Alternatives: 3

Open agent JSON

Signals

Audit score: 75/100
Quality: 72/100
Trust: 82/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 2y since push
Events: 7 events
GitHub stars: 1.5K
Last push: Apr 8, 2025

Agent safety v2

63/100 · 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.
Repository appears stale
63/100 agent safety score

Network access

medium

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

Repository appears stale
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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Agent Protocol Audit report.

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