Rapport d’audit du skill
benchmark-on-ddp Rapport d’audit.
Measure a LiteRT .tflite model with `benchmark_model` on Developer Device Platform (DDP) lab phones through `litert benchmark --ddp`, or on the Mac you run it from, and turn the session into rows of the performance leaderboard under benchmark/leaderboard - one matrix entry per model, one session per accelerator, collect results.pb and runtime_info.pb, rebuild board.json, check the page, commit the data. Use when a model needs latency and memory numbers per platform, device and accelerator, or when a new benchmark_model release means re-measuring the board.
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
4 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 benchmark-on-ddp
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/benchmark-on-ddp
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 benchmark-on-ddp
Dépôt
88
https://github.com/google-ai-edge/litert-samples/tree/main/skills/benchmark-on-ddp
Licence
86
Apache-2.0
Maintenance
100
4 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
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- L’approbation de revue IA est absente
- Financial research output is not financial advice; require human review before any live investment decision.
- 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.
Comparer les options proches
Skills associés à auditer ensuite
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
169K Stars · Rapport d’audit
Appsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
41K Stars · Rapport d’audit
Implement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
176K Stars · Rapport d’audit