Star200+

Skill audit report

Agent Memory Techniques Audit report.

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

REVIEWED · REVIEWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
86
Audit
83
Trust
82
Quality
89
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

83
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

531 GitHub stars

Stars/forks activity

INFO

71

531 stars, 71 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

Apache-2.0

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 NirDiamant/Agent_Memory_Techniques

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/NirDiamant/Agent_Memory_Techniques

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

10 Passed · 2 Needs review

Install path

92

PASS

npx skills add NirDiamant/Agent_Memory_Techniques

Repository

88

PASS

https://github.com/NirDiamant/Agent_Memory_Techniques

License

86

PASS

Apache-2.0

Maintenance

88

PASS

2mo 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

531 stars, 71 forks; issue activity unavailable in current metadata

Adoption

88

PASS

531 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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