Rapport d’audit du skill
didit-face-search Rapport d’audit.
Integrate Didit Face Search standalone API to perform 1:N facial search against all previously verified sessions. Use when the user wants to detect duplicate accounts, search for matching faces, check if a face already exists in the system, prevent duplicate registrations, search against blocklist, or implement facial deduplication using Didit. Returns ranked matches with similarity percentages.
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
26 stars GitHub
Activité stars/forks
Avertissement43
26 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
2 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
Échoué36
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add didit-protocol/skills --skill didit-face-search
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué22
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/didit-protocol/skills/tree/main/skills/didit-face-search
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 didit-protocol/skills --skill didit-face-search
Dépôt
88
https://github.com/didit-protocol/skills/tree/main/skills/didit-face-search
Licence
86
MIT
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
The utility script search_faces.py references 'similarity' in the output, but the API response uses 'similarity_percentage'. This will cause incorrect display of match scores.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
36
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
22
secrets or environment access, shell or command execution
Activité stars/forks
43
26 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
26 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The utility script search_faces.py references 'similarity' in the output, but the API response uses 'similarity_percentage'. This will cause incorrect display of match scores.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 26 GitHub stars
- Stars/forks activity: 26 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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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