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/zhoy0409-debug/polish-sci-figuresnpx agentmods add skills/zhoy0409-debug/polish-sci-figures/portable-skillWrote 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/zhoy0409-debug/polish-sci-figures/portable-skill)<a href="https://agentmods.dev/skills/zhoy0409-debug/polish-sci-figures/portable-skill"><img src="https://agentmods.dev/badge/skills/zhoy0409-debug/polish-sci-figures/portable-skill/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/zhoy0409-debug/polish-sci-figures/portable-skill"><img src="https://agentmods.dev/badge/skills/zhoy0409-debug/polish-sci-figures/portable-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00039 | $0.01476 |
| Opus 5.5 | $0.00016 | $0.00590 |
| Sonnet 5.5 | $0.00008 | $0.00295 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
polish-sci-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 7d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
polish-sci-figures
Use the bundled suite for scientific data charts, calibrated images, figure refinement and multi-panel composition. It needs host file access and Python execution, without a Codex account or a particular computer.
Start from the user's data
Accept ordinary requests such as “把这个表画成合适的图” or “Make a suitable figure from this table.” Inspect/profile the table once, then produce 2–3 suitable candidates with previews rendered from the actual data when the data support them. Explain briefly what each reveals and identify the recommended starting point. Do not require the user to supply commands, template IDs or statistical terminology.
When scientific design is genuinely missing, ask only 1–2 concrete questions, such as whether rows are different experimental objects or repeated observations of the same object. Do not invent experimental-unit IDs, units of measurement, pairing or results. Preserve valid existing analyses. Batch local rendering where practical; use the editor for ordinary font, colour and position changes instead of repeatedly recomputing analyses or calling an AI model.
Check the runtime
Paths below are relative to this SKILL.md. Keep the complete suite/ directory together. Select an existing Python runtime yourself: prefer the current project's .venv/Scripts/python.exe (Windows) or .venv/bin/python, then the host's dependency-tool runtime, then registered Python launchers or python3. Check sys.executable and sys.version before running suite code; bare python can resolve to Python 2, and a host-bundled Python can lack SciPy. Use Python 3.10–3.12 and actually import numpy, pandas, scipy, matplotlib, openpyxl and PIL. Try the next existing interpreter if a check fails instead of asking a novice to discover paths. Reuse the successful executable, with -X utf8 on Windows; python below means that executable. Run the doctor before executing a workflow:
python suite/sci_figures.py doctor --font "DejaVu Sans" --json
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.
- 7d ago Changed · +11 lines · +3 tokens per session f16c2bd75ada
- 8d ago First seen · 68 lines · 36 tokens per session scan A 57b503695228
polish-sci-figures is a skill published in the GitHub repository zhoy0409-debug/polish-sci-figures (58 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 1,476 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-13.
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