Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Aperivue/medsci-skillsnpx agentmods add skills/aperivue/medsci-skills/make-figuresWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aperivue/medsci-skills/make-figures)<a href="https://agentmods.dev/skills/aperivue/medsci-skills/make-figures"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/make-figures/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aperivue/medsci-skills/make-figures"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/make-figures.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 446 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Rogue Agent · line 291 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.11908 |
| Opus 5 | $0.00036 | $0.05954 |
| Sonnet 5 | $0.00014 | $0.02382 |
| Haiku 4.5 | $0.00007 | $0.01191 |
Grade A, and why
make-figures scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 939 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Make-Figures Skill
You are helping a medical researcher generate publication-ready figures for medical research manuscripts. Every figure must meet journal specifications for dimensions, resolution, fonts, and color accessibility. Produce clean, data-focused visuals with no chartjunk.
Credits
The Critic Loop (Step 4b) in this skill is inspired by PaperBanana (Zhu et al., Automating Academic Illustration for AI Scientists, arXiv:2601.23265, 2025) and by prior self-refinement research — Self-Refine (Madaan et al., 2023), Reflexion (Shinn et al., 2023), and Constitutional AI (Anthropic, 2022). This is a clean-room reconstruction specialized for medical publication figures (STARD / CONSORT / PRISMA, journal-specific specs, Wong colorblind palette). No code, prompts, or configurations are derived from PaperBanana's repository.
Communication Rules
- Communicate with the user in their preferred language.
- All figure text (labels, legends, annotations) must be in English.
- Medical terminology is always in English.
Data Privacy Check
Before reading any data file, check whether it might contain Protected Health Information (PHI):
- If
*_deidentified.*files exist in the working directory, use those preferentially. - If only raw CSV/Excel files exist (no
*_deidentified.*counterpart), warn the user (ask in the user's preferred language):"Does this data contain patient identifiers (names, national ID / RRN, contact details, etc.)? If so, please de-identify it first with the
/deidentifyskill." - If the user confirms the data is already de-identified or contains no PHI, proceed.
Reference Files
- Figure specifications:
${CLAUDE_SKILL_DIR}/references/figure_specs.md - Figure style:
${CLAUDE_SKILL_DIR}/../analyze-stats/references/style/figure_style.mplstyle(or project's CLAUDE.md if available) - Project data: See CLAUDE.md for data locations under
2_Data/
Read figure_specs.md before generating any figure to confirm journal-specific requirements.
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/critic_rubrics/data_plot.md 7.5 KB
- references/critic_rubrics/flow_diagram.md 7.5 KB
- references/design_principles.md 8.2 KB
- references/exemplar_diagrams/consort/README.md 385 B
- references/exemplar_diagrams/consort/template_input.yaml 1.4 KB
- references/exemplar_diagrams/consort/template_output_600.png 119 KB
- references/exemplar_diagrams/consort/template_output.pdf 37 KB
- references/exemplar_diagrams/consort/template_output.png 121 KB
- references/exemplar_diagrams/other/other_02_why.md 1.6 KB
- references/exemplar_diagrams/pipeline/pipeline_01_why.md 1.5 KB
- references/exemplar_diagrams/pipeline/pipeline_03_why.md 1.7 KB
- references/exemplar_diagrams/pipeline/pipeline_04_why.md 1.6 KB
- references/exemplar_diagrams/pipeline/pipeline_05_why.md 1.7 KB
- references/exemplar_diagrams/pipeline/pipeline_06_why.md 1.6 KB
- references/exemplar_diagrams/pipeline/pipeline_07_why.md 1.6 KB
- references/exemplar_diagrams/pipeline/pipeline_08_why.md 1.7 KB
- references/exemplar_diagrams/pipeline/pipeline_09_why.md 1.7 KB
- references/exemplar_diagrams/pipeline/pipeline_10_why.md 1.9 KB
- references/exemplar_diagrams/pipeline/README.md 389 B
- references/exemplar_diagrams/prisma/README.md 381 B
- references/exemplar_diagrams/prisma/template_input.yaml 1.9 KB
- references/exemplar_diagrams/prisma/template_output_600.png 114 KB
- references/exemplar_diagrams/prisma/template_output.pdf 40 KB
- references/exemplar_diagrams/prisma/template_output.png 115 KB
- references/exemplar_diagrams/README.md 3.8 KB
- references/exemplar_diagrams/stard/README.md 377 B
- references/exemplar_diagrams/stard/template_input.yaml 1.2 KB
- references/exemplar_diagrams/stard/template_output_600.png 77 KB
- references/exemplar_diagrams/stard/template_output.pdf 34 KB
- references/exemplar_diagrams/stard/template_output.png 78 KB
- references/exemplar_diagrams/strobe/template_input_pptx.yaml 1.5 KB
- references/exemplar_diagrams/strobe/template_input.yaml 1.4 KB
- references/exemplar_diagrams/strobe/template_output_600.png 109 KB
- references/exemplar_diagrams/strobe/template_output.pdf 47 KB
- references/exemplar_diagrams/strobe/template_output.png 111 KB
- references/exemplar_diagrams/strobe/template_output.pptx 29 KB
- references/exemplar_plots/ai_assistance_effect.md 3.5 KB
- references/exemplar_plots/bland_altman.md 3.4 KB
- references/exemplar_plots/calibration_plot.md 2.5 KB
- references/exemplar_plots/clinical_timeline.md 3.7 KB
- references/exemplar_plots/confusion_matrix.md 3.3 KB
- references/exemplar_plots/decision_curve.md 3.9 KB
- references/exemplar_plots/external_validation_comparison.md 3.1 KB
- references/exemplar_plots/forest_plot.md 3.1 KB
- references/exemplar_plots/imaging_panel.md 3.1 KB
- references/exemplar_plots/km_curve.md 2.9 KB
- references/exemplar_plots/manhattan_plot.md 4.0 KB
- references/exemplar_plots/model_comparison_leaderboard.md 4.0 KB
- references/exemplar_plots/mrmc_roc.md 3.0 KB
- references/exemplar_plots/README.md 8.5 KB
- references/exemplar_plots/roc_pr.md 2.4 KB
- references/exemplar_plots/segmentation_failure_panel.md 4.5 KB
- references/figure_manifest.md 2.2 KB
- references/figure_specs.md 11 KB
- references/flow_diagram_lessons.md 10.0 KB
- references/flow_diagram_recipe.md 5.0 KB
- references/jacc_central_illustration_principles.md 5.8 KB
- references/medical_illustration_sources.md 4.0 KB
- references/pipeline_concepts_medical_ai.md 9.2 KB
- references/reporting_guideline_figure_map.md 7.0 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 939 lines · 71 tokens per session scan A e343de9c90b9
make-figures is a skill published in the GitHub repository Aperivue/medsci-skills (290 stars, last pushed yesterday), licensed MIT. It adds 71 tokens to every session and 11,908 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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