Skill audit report

langgraph-testing-evaluation Audit report.

Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 6, 2026Heuristic metadata audit
77
Audit
76
Trust
64
Quality
82
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

76
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

62

106 GitHub stars

Stars/forks activity

WARN

57

106 stars, 15 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

50

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 8 Needs review

Install path

92

PASS

npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation

Repository

88

PASS

https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

50

FIX

shell or command execution, filesystem or document access

Stars/forks activity

57

FIX

106 stars, 15 forks; issue activity unavailable in current metadata

Adoption

68

INFO

106 GitHub stars

Warnings

  • Permission surface may require sandboxing
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access

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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