Skill audit report

Memorizz Audit report.

MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.

REVIEWED · REVIEWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
84
Audit
80
Trust
81
Quality
81
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

80
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

756 GitHub stars

Stars/forks activity

INFO

71

756 stars, 77 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

15d since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

100

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add RichmondAlake/memorizz

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

filesystem or document access, database access

Repository evidence

PASS

86

https://github.com/RichmondAlake/memorizz

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 6 Needs review

Install path

92

PASS

npx skills add RichmondAlake/memorizz

Repository

88

PASS

https://github.com/RichmondAlake/memorizz

License

45

CHECK

Unknown

Maintenance

100

PASS

15d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

100

PASS

Usable description available

Dependency risk

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

filesystem or document access, database access

Stars/forks activity

71

CHECK

756 stars, 77 forks; issue activity unavailable in current metadata

Adoption

88

PASS

756 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.

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