Rapport d’audit du skill
jetson-video-benchmark Rapport d’audit.
Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a documented clock-scaled or clock-and-resolution-scaled planning estimate when representative content is unavailable. Also use for Jetson video requests asking only for PSNR or SSIM results, to apply this performance skill's scope-only response.
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
128 stars GitHub
Activité stars/forks
Avertissement57
128 stars et 23 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
Apache-2.0
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 NVIDIA-AI-IOT/jetson-device-skills --skill jetson-video-benchmark
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement50
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/NVIDIA-AI-IOT/jetson-device-skills/tree/main/skills/jetson-video-benchmark
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 NVIDIA-AI-IOT/jetson-device-skills --skill jetson-video-benchmark
Dépôt
88
https://github.com/NVIDIA-AI-IOT/jetson-device-skills/tree/main/skills/jetson-video-benchmark
Licence
86
Apache-2.0
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
The skill is highly specialized and depends on sibling skills (jetson-video-recipe, jetson-video-setup) for certain routes, which may not always be installed; however, the skill handles this gracefully with clear dependency_required responses.
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
50
shell or command execution, filesystem or document access
Activité stars/forks
57
128 stars et 23 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
128 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill is highly specialized and depends on sibling skills (jetson-video-recipe, jetson-video-setup) for certain routes, which may not always be installed; however, the skill handles this gracefully with clear dependency_required responses.
- The SKILL.md is extensive and may be overwhelming for simple use cases, but it provides thorough guidance and safety boundaries.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 128 stars, 23 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
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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