Skill audit report

multi-agent-patterns Audit report.

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 9, 2026Heuristic metadata audit
82
Audit
74
Trust
86
Quality
78
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

74
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

18K GitHub stars

Stars/forks activity

PASS

97

18K stars, 1.5K 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

credential or environment access

Install availability

PASS

92

npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill multi-agent-patterns

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

60

secrets or environment access, filesystem or document access

Repository evidence

PASS

86

https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/multi-agent-patterns

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 10 Needs review

Install path

92

PASS

npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill multi-agent-patterns

Repository

88

PASS

https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/multi-agent-patterns

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

55

CHECK

The SKILL.md excerpt is truncated in the review material; the full content should be verified to include complete sections on parallel execution, failure handling, and consensus mechanisms.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

72

CHECK

credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

60

CHECK

secrets or environment access, filesystem or document access

Stars/forks activity

97

PASS

18K stars, 1.5K forks; issue activity unavailable in current metadata

Adoption

88

PASS

18K GitHub stars

Warnings

  • Permission surface may require sandboxing
  • The SKILL.md excerpt is truncated in the review material; the full content should be verified to include complete sections on parallel execution, failure handling, and consensus mechanisms.
  • No explicit security guidance is visible in SKILL.md for prompt injection between agents, sensitive data handling, or least-privilege tool access for sub-agents.
  • The Python coordination utilities appear generic and composable, but no tests or minimal end-to-end usage examples are shown in the excerpt.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, filesystem or document access
  • Permission surface: secrets or environment access, 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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