Rapport d’audit du skill
accuracy-safe-quantization Rapport d’audit.
Shrink a converted LiteRT model with ai-edge-quantizer (fp16 / int8 / int4) without losing accuracy, verifying parity against the float source after every step. Use when choosing a quantization recipe for a new model, when a quantized model fails to load, degrades on a task benchmark, or degenerates over long generations, or when deciding between dynamic-range, weight-only, and blockwise variants.
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
Info62
459 stars GitHub
Activité stars/forks
Info62
459 stars et 122 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé100
3 jours depuis le dernier push
Clarté de licence
Validé86
Apache-2.0
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 google-ai-edge/litert-samples --skill accuracy-safe-quantization
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/google-ai-edge/litert-samples/tree/main/skills/accuracy-safe-quantization
État de revue
Avertissement46
L’approbation de revue IA est absente
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 google-ai-edge/litert-samples --skill accuracy-safe-quantization
Dépôt
88
https://github.com/google-ai-edge/litert-samples/tree/main/skills/accuracy-safe-quantization
Licence
86
Apache-2.0
Maintenance
100
3 jours depuis le dernier push
Revue IA
55
Review approval is missing
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
62
459 stars et 122 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
459 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- L’approbation de revue IA est absente
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
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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