Skill audit report

MasterParser audit report.

MasterParser is a powerful DFIR tool designed for analyzing and parsing Linux logs

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 19, 2026Heuristic metadata audit
81
Audit
81
Trust
76
Quality
84
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

81
Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, 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

758 GitHub stars

Stars/forks activity

INFO

71

758 stars, 69 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

5mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add securityjoes/MasterParser

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/securityjoes/MasterParser

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 5 review

Install path

92

PASS

npx skills add securityjoes/MasterParser

Repository

88

PASS

https://github.com/securityjoes/MasterParser

License

86

PASS

MIT

Maintenance

76

CHECK

5mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

71

CHECK

758 stars, 69 forks; issue activity unavailable in current metadata

Adoption

88

PASS

758 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.

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