Skill audit report
AI Agent Workflow & Skill Architecture Guide — turn expert work into measurable, reusable agent systems. Covers workflow discovery, skill decomposition, harness design, evaluation, human escalation, observability, cost control, and multi-agent orchestration. Includes a measured marketing-delivery case: 15 people × 3–4 weeks reduced to one strategist + AI in 5 days. By Gingiris.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
79 GitHub stars
Stars/forks activity
WARN43
79 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
19d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add Gingiris-1031/gingiris-skills --skill agent-workflow-playbook
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/agent-workflow-playbook
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Gingiris-1031/gingiris-skills --skill agent-workflow-playbook
Repository
88
https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/agent-workflow-playbook
License
86
MIT
Maintenance
100
19d since push
AI review
55
SKILL.md is primarily a methodology guide rather than an executable agent workflow with a clear invocation contract; agents may need additional instructions on how to apply it to a specific task.
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
Stars/forks activity
43
79 stars, 4 forks; issue activity unavailable in current metadata
Adoption
68
79 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
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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