Skill audit report

agent-orchestration-multi-agent-optimize Audit report.

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
72
Audit
63
Trust
63
Quality
74
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

63
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

95 GitHub stars

Stars/forks activity

WARN

48

95 stars, 33 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

56

credential or environment access, network or browser surface

Install availability

PASS

92

npx skills add agent-skills-hub/agent-skills-hub --skill agent-orchestration-multi-agent-optimize

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

secrets or environment access, network or browser access

Repository evidence

PASS

86

https://github.com/agent-skills-hub/agent-skills-hub/tree/main/skills/agent-orchestration-multi-agent-optimize

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 16 Needs review

Install path

92

PASS

npx skills add agent-skills-hub/agent-skills-hub --skill agent-orchestration-multi-agent-optimize

Repository

88

PASS

https://github.com/agent-skills-hub/agent-skills-hub/tree/main/skills/agent-orchestration-multi-agent-optimize

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

SKILL.md is partially truncated in the provided excerpt; the full file may be incomplete or missing sections.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

56

FIX

credential or environment access, network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

secrets or environment access, network or browser access

Stars/forks activity

48

FIX

95 stars, 33 forks; issue activity unavailable in current metadata

Adoption

68

INFO

95 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • SKILL.md is partially truncated in the provided excerpt; the full file may be incomplete or missing sections.
  • The skill provides high-level guidance but lacks concrete setup instructions, dependencies, or configuration steps.
  • Code examples are illustrative pseudo-code and may not be directly executable without adaptation.
  • No explicit limitations or failure modes are documented beyond a brief safety note.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, network or browser access
  • GitHub adoption: 95 GitHub stars
  • Stars/forks activity: 95 stars, 33 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: credential or environment access, network or browser surface
  • Permission surface: secrets or environment access, network or browser 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.