Rapport d’audit du skill
agent-workflow-playbook Rapport d’audit.
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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Avertissement48
79 stars GitHub
Activité stars/forks
Avertissement43
79 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Info76
Les métadonnées publiques nécessitent davantage de contexte README/SKILL.md
Risque dépendances/runtime
Validé82
network or browser surface
Disponibilité de l’installation
Validé92
npx skills add Gingiris-1031/gingiris-skills --skill agent-workflow-playbook
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Validé86
network or browser access
Preuve du dépôt
Validé86
https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/agent-workflow-playbook
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add Gingiris-1031/gingiris-skills --skill agent-workflow-playbook
Dépôt
88
https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/agent-workflow-playbook
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
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.
Complétude README/SKILL.md
84
Usable description available
Risque de dépendances
82
network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
86
network or browser access
Activité stars/forks
43
79 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
79 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Financial research output is not financial advice; require human review before any live investment decision
- 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.
- The 'latest' tag is vague and not a meaningful functional category, which may cause confusion in marketplace listings.
- The reported case metrics are self-reported and not independently audited; while the document does label them, users should be reminded to establish their own baselines before relying on the numbers.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 79 GitHub stars
- Stars/forks activity: 79 stars, 4 forks; issue activity unavailable in current metadata
Méthode
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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