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Skill audit report

HyperAgent audit report.

AI Browser Automation

REVIEWED · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
85
Audit
82
Trust
86
Quality
82
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

82
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

PASS

86

1.4K GitHub stars

Recent maintenance

PASS

88

1mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add hyperbrowserai/HyperAgent

Repository evidence

PASS

86

https://github.com/hyperbrowserai/HyperAgent

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 6 review

Install path

92

PASS

npx skills add hyperbrowserai/HyperAgent

Repository

88

PASS

https://github.com/hyperbrowserai/HyperAgent

License

45

CHECK

Unknown

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

50

CHECK

Description is too thin for confident adoption

Dependency risk

82

PASS

network or browser surface

Adoption

88

PASS

1.4K GitHub stars

Warnings

  • License is unclear
  • Documentation summary is thin
  • License clarity: Unknown
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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.

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