Skill audit report

agent-designer Audit report.

Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).

EXPERIMENTAL · REVIEWSafe to tryGenerated Aug 22, 2026Heuristic metadata audit
89
Audit
85
Trust
91
Quality
84
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

85
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

100

25K GitHub stars

Stars/forks activity

PASS

97

25K stars, 3.5K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

Pushed today

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 alirezarezvani/claude-skills --skill agent-designer

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

64

shell or command execution, database access

Repository evidence

PASS

86

https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-designer

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 3 Needs review

Install path

92

PASS

npx skills add alirezarezvani/claude-skills --skill agent-designer

Repository

88

PASS

https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-designer

License

86

PASS

MIT

Maintenance

100

PASS

Pushed today

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

64

CHECK

shell or command execution, database access

Stars/forks activity

97

PASS

25K stars, 3.5K forks; issue activity unavailable in current metadata

Adoption

88

PASS

25K 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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