Borrowing it
Nothing to install: this file belongs to zhnnky329/MathModeling-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zhnnky329/MathModeling-skills/main/.claude/skills/math-figure-generator/SKILL.mdgit clone --depth 1 https://github.com/zhnnky329/MathModeling-skillsWrote 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/zhnnky329/mathmodeling-skills/math-figure-generator)<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/math-figure-generator"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/math-figure-generator/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/zhnnky329/mathmodeling-skills/math-figure-generator"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/math-figure-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00493 |
| Opus 5 | $0.00019 | $0.00246 |
| Sonnet 5 | $0.00008 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
math-figure-generator 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 12d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preconditions
- Figure type, source artifacts, and target claim are known.
- Type 3 claim is human-confirmed.
- Submission figures use final/frozen evidence.
References
Load only what the requested chart needs:
references/chart-patterns.mdreferences/color-systems.mdreferences/layout-guide.mdreferences/render-check.md
Workflow
- Verify source files and the exact variables/units to plot.
- Choose the smallest chart form that communicates the claim.
- Generate with deterministic code, preferably matplotlib.
- Save editable source code and the requested output format.
- Apply the shared color, typography, sizing, and labeling conventions.
- Render the final output and inspect it visually.
- Check clipping, overlap, illegible text, misleading axes, legends, empty panels, and source/claim mismatch.
- Iterate until render checks pass.
Output Locations
- Type 1/2 exploration:
results/Qx/experiments/roundN/figures/ - Type 3/4 submission:
paper/figures/
Use stable descriptive filenames. Do not copy Type 1 diagnostics into the paper directory.
Figure Requirements
- Labels include units where applicable.
- Captions state what is shown and the evidence-backed takeaway without overstating causality.
- Baseline is visually distinct but not exaggerated.
- Uncertainty is shown when it is part of the claim.
- Type 3 raster output is at least 300 dpi; vector output is preferred when compatible.
- Accessibility and grayscale differentiation are considered.
Rules
- Do not fabricate or manually alter plotted values.
- Do not use a chart type that hides concentration, uncertainty, or negative results.
- Do not truncate axes misleadingly.
- Do not create decorative 3D effects.
- Do not treat code execution as render verification.
- Keep diagnostic and paper roles separate.
Verification
- Source, claim, type, and target section agree.
- Render inspection passed.
- Text is readable at final paper size.
- Legends, colors, markers, axes, units, and captions are consistent.
- Final output path exists and is recorded in the figure plan.
What ships with it
4 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.
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.
- 12d ago First seen · 64 lines · 38 tokens per session scan A 75864b61cd4f
math-figure-generator is a skill published in the GitHub repository zhnnky329/MathModeling-skills (882 stars, last pushed 18d ago), licensed MIT. It adds 38 tokens to every session and 493 once invoked, about $0.0002 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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