Rapport d’audit du skill
growth-experimentation Rapport d’audit.
Build a growth experimentation system — ICE scoring, growth sprints, experiment design, statistical significance, and learning repositories. Use when building an experimentation program, running growth sprints, prioritizing tests, or establishing a data-driven growth culture. Triggers on: "experimentation", "growth experiments", "A/B testing program", "ICE scoring", "growth sprint", "experiment design", "test velocity", or any growth experimentation request.
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
49 stars GitHub
Activité stars/forks
Avertissement48
49 stars et 14 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
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info72
Surface d’exécution de commandes
Disponibilité de l’installation
Validé92
npx skills add LeadMagic/gtm-skills --skill growth-experimentation
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info62
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/LeadMagic/gtm-skills/tree/main/skills/analytics/growth-experimentation
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 LeadMagic/gtm-skills --skill growth-experimentation
Dépôt
88
https://github.com/LeadMagic/gtm-skills/tree/main/skills/analytics/growth-experimentation
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
The included check-output.py validator requires sections that do not match the included output-template.md (e.g. '## Recommendation', '## Implementation Steps', '## Metrics' vs '## Core output', '## Frameworks Applied', '## Next steps'). This makes the local quality check fail on the skill's own template.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
72
Surface d’exécution de commandes
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
62
shell or command execution, filesystem or document access
Activité stars/forks
48
49 stars et 14 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
49 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
- The included check-output.py validator requires sections that do not match the included output-template.md (e.g. '## Recommendation', '## Implementation Steps', '## Metrics' vs '## Core output', '## Frameworks Applied', '## Next steps'). This makes the local quality check fail on the skill's own template.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 49 GitHub stars
- Stars/forks activity: 49 stars, 14 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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