Skill-Audit-Bericht
paperFig Audit-Bericht.
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.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub-Akzeptanz
Bestanden94
5.1K GitHub-Stars
Star-/Fork-Aktivität
Bestanden82
5.1K Stars und 200 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden88
1 Monate seit dem letzten Push
Lizenzklarheit
Bestanden86
MIT
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Warnung54
command execution surface, credential or environment access
Installationsverfügbarkeit
Bestanden92
npx skills add WUBING2023/PaperSpine --skill paperFig
Sicherheit des Installationsbefehls
Bestanden92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
Fehlgeschlagen36
secrets or environment access, shell or command execution
Repository-Nachweis
Bestanden86
https://github.com/WUBING2023/PaperSpine/tree/main/paperspine5/core/02_PaperFigure/02_paperFig_skill
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add WUBING2023/PaperSpine --skill paperFig
Repository
88
https://github.com/WUBING2023/PaperSpine/tree/main/paperspine5/core/02_PaperFigure/02_paperFig_skill
Lizenz
86
MIT
Wartung
88
1 Monate seit dem letzten Push
KI-Prüfung
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.
README/SKILL.md-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
54
command execution surface, credential or environment access
Sicherheit des Installationsbefehls
92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
36
secrets or environment access, shell or command execution
Star-/Fork-Aktivität
82
5.1K Stars und 200 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
88
5.1K GitHub-Stars
Warnungen
- 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
Methode
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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