Skill audit report

PaperOrchestra audit report.

An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
87
Audit
84
Trust
80
Quality
88
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

84
Strong shortlist

Stars, maintenance, license, docs, dependency risk, 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

INFO

76

577 GitHub stars

Recent maintenance

PASS

100

2d since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add Ar9av/PaperOrchestra

Repository evidence

PASS

86

https://github.com/Ar9av/PaperOrchestra

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 4 review

Install path

92

PASS

npx skills add Ar9av/PaperOrchestra

Repository

88

PASS

https://github.com/Ar9av/PaperOrchestra

License

45

CHECK

Unknown

Maintenance

100

PASS

2d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Adoption

88

PASS

577 GitHub stars

Warnings

  • License is unclear
  • Quality score needs review
  • License clarity: Unknown

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.

Compare nearby options

Related skills to audit next