Colloquium Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Colloquium/Audit

Skill audit report

Colloquium audit report.

A markdown native slides tool for academics building with agents.

REVIEWED · REVIEWSafe to tryGenerated Jul 21, 2026Heuristic metadata audit

86

Audit

80

Trust

81

Quality

87

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

80

Strong shortlist

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

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

Explore

Skills Agent Skills What Is an Agent Skill?AI Agent Skills Tasks Skill Packs Best Skills Trending Stacks Use Cases Agents Agent Entry

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

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

INFO

62

222 GitHub stars

Stars/forks activity

WARN

57

222 stars, 14 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

5d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add natolambert/colloquium

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/natolambert/colloquium

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 passed · 3 review

Install path

92

PASS

npx skills add natolambert/colloquium

Repository

88

PASS

https://github.com/natolambert/colloquium

License

86

PASS

MIT

Maintenance

100

PASS

5d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

57

FIX

222 stars, 14 forks; issue activity unavailable in current metadata

Adoption

68

INFO

222 GitHub stars

Warnings

Quality score needs review
Stars/forks activity: 222 stars, 14 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 natolambert/colloquium

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 + Education
Alternatives: 3

Open agent JSON

Signals

Audit score: 86/100
Quality: 81/100
Trust: 80/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 5d since push
Events: No events yet
GitHub stars: 222
Last push: Jul 16, 2026

Agent safety v2

70/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Safe-to-try audit
70/100 agent safety score

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.

Quality score needs review

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