Star200+

Skill audit report

BenchMARL Audit report.

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

REVIEWED · REVIEWNeeds reviewGenerated Aug 3, 2026Heuristic metadata audit
81
Audit
81
Trust
75
Quality
89
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

81
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

76

636 GitHub stars

Stars/forks activity

INFO

71

636 stars, 132 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

6mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add facebookresearch/BenchMARL

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/facebookresearch/BenchMARL

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 Needs review

Install path

92

PASS

npx skills add facebookresearch/BenchMARL

Repository

88

PASS

https://github.com/facebookresearch/BenchMARL

License

86

PASS

MIT

Maintenance

76

CHECK

6mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

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

71

CHECK

636 stars, 132 forks; issue activity unavailable in current metadata

Adoption

88

PASS

636 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.