Rapport d’audit du skill
paperFig Rapport d’audit.
Design, implement, revise, and validate publication-quality scientific figures from references, existing plotting code, and real project data. Trace every figure to source code and inputs; deconstruct reference figures; plan the scientific story and multi-panel structure; build complex model architecture and statistical panels; enforce a consistent visual system; and render-verify PDF/SVG/PNG outputs. Use for 科研配图, 论文配图, 找图的源代码, 参考图复刻与改造, 模型框架图, 多面板主图, figure redesign, or standardizing a research-figure process.
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
Validé94
5.1K stars GitHub
Activité stars/forks
Validé82
5.1K stars et 200 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 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
Avertissement54
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add WUBING2023/PaperSpine --skill paperFig
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué36
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/WUBING2023/PaperSpine/tree/main/paperspine5/core/02_PaperFigure/02_paperFig_skill
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 WUBING2023/PaperSpine --skill paperFig
Dépôt
88
https://github.com/WUBING2023/PaperSpine/tree/main/paperspine5/core/02_PaperFigure/02_paperFig_skill
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
The submitted skill directory references mandatory files that are not present in the provided file list: references/research-figure-process.md, references/reference-deconstruction.md, references/architecture-and-multipanel-design.md, references/scientific-visual-qa.md, scripts/inspect_figure_project.py, and figmirror.py. If these are not packaged with the skill, the workflow cannot run as documented.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
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
36
secrets or environment access, shell or command execution
Activité stars/forks
82
5.1K stars et 200 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
5.1K stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The submitted skill directory references mandatory files that are not present in the provided file list: references/research-figure-process.md, references/reference-deconstruction.md, references/architecture-and-multipanel-design.md, references/scientific-visual-qa.md, scripts/inspect_figure_project.py, and figmirror.py. If these are not packaged with the skill, the workflow cannot run as documented.
- SKILL.md does not document dependencies or setup requirements (e.g., matplotlib, numpy, Pillow, PDF and spreadsheet tooling). A user or agent cannot reliably reproduce the environment.
- The skill instructs the agent to execute or inspect existing plotting code and project artifacts, but it does not explicitly state safe execution boundaries for untrusted code, reference files, or downloaded content.
- 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
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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