Skill audit report

nature-figure Audit report.

Submission-grade Nature/high-impact journal figure workflow for Python or R, plus optional OpenRouter GPT Image 2 manuscript schematic generation when the user explicitly asks for AI-generated graphical abstracts, concept schematics, mechanism diagrams, or paper schematic illustrations. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, journal-ready SVG/PDF/TIFF outputs, or OpenRouter/API-generated schematic drafts, especially for Nature-family or other high-impact journals. Before plotting or image generation, define the figure's conclusion, evidence logic, export needs, and review risks. For plotting tasks, honor an explicit Python/R choice, otherwise reuse the saved nature-figure backend preference; if no preference exists, ask once whether the user prefers Python or R and save that answer for future calls. For explicit OpenRouter/GPT Image 2 schematic generation, do not ask Python

REVIEWED · REVIEWNeeds reviewGenerated Oct 13, 2026Heuristic metadata audit
77
Audit
71
Trust
71
Quality
80
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

71
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

481 GitHub stars

Stars/forks activity

WARN

57

481 stars, 39 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add Boom5426/Nature-Paper-Skills --skill nature-figure

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

72

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/Boom5426/Nature-Paper-Skills/tree/main/skills/figure/nature-figure

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

92

PASS

npx skills add Boom5426/Nature-Paper-Skills --skill nature-figure

Repository

88

PASS

https://github.com/Boom5426/Nature-Paper-Skills/tree/main/skills/figure/nature-figure

License

86

PASS

Apache-2.0

Maintenance

88

PASS

1mo since push

AI review

55

CHECK

The skill relies on external scripts (nature_figure_backend.py, generate_openrouter_schematic.py) whose contents were not reviewed; however, they are part of the repository and appear to be standard utility scripts.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

72

CHECK

filesystem or document access, network or browser access

Stars/forks activity

57

FIX

481 stars, 39 forks; issue activity unavailable in current metadata

Adoption

68

INFO

481 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Financial research output is not financial advice; require human review before any live investment decision
  • The skill relies on external scripts (nature_figure_backend.py, generate_openrouter_schematic.py) whose contents were not reviewed; however, they are part of the repository and appear to be standard utility scripts.
  • The SKILL.md description is very long, but it is well-structured and provides clear routing instructions.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Stars/forks activity: 481 stars, 39 forks; issue activity unavailable in current metadata

Method

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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