Rapport d’audit du skill
trackpy-particle-tracking Rapport d’audit.
Python library for single-particle tracking (SPT) in video microscopy via the Crocker-Grier algorithm. Locate particles (fluorescent spots, colloids, vesicles, cells) per frame, link into trajectories, filter short tracks, and compute MSD for diffusion analysis. 2D/3D with subpixel accuracy; reads TIF stacks, AVI, image series via pims. Use for quantitative SPT and diffusion coefficient extraction from fluorescence or brightfield video.
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
359 stars GitHub
Activité stars/forks
Avertissement57
359 stars et 35 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
BSD-3-Clause
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement54
command execution surface, external package install surface
Disponibilité de l’installation
Validé92
npx skills add jaechang-hits/SciAgent-Skills --skill trackpy-particle-tracking
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info62
shell or command execution, network or browser access
Preuve du dépôt
Validé86
https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/cell-biology/trackpy-particle-tracking
État de revue
Validé88
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 jaechang-hits/SciAgent-Skills --skill trackpy-particle-tracking
Dépôt
88
https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/cell-biology/trackpy-particle-tracking
Licence
86
BSD-3-Clause
Maintenance
88
2 mois depuis le dernier push
Revue IA
88
Approved with no listed issues
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
command execution surface, external package install surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
62
shell or command execution, network or browser access
Activité stars/forks
57
359 stars et 35 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
359 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
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Stars/forks activity: 359 stars, 35 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, external package install surface
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
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
181K Stars · Rapport d’audit
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
96K Stars · Rapport d’audit
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
181K Stars · Rapport d’audit