Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xuzhougeng/ScientificFigureLibrary --skill figure-organizationgit clone --depth 1 https://github.com/xuzhougeng/ScientificFigureLibraryWrote 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/xuzhougeng/scientificfigurelibrary/figure-organization)<a href="https://agentmods.dev/skills/xuzhougeng/scientificfigurelibrary/figure-organization"><img src="https://agentmods.dev/badge/skills/xuzhougeng/scientificfigurelibrary/figure-organization/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/xuzhougeng/scientificfigurelibrary/figure-organization"><img src="https://agentmods.dev/badge/skills/xuzhougeng/scientificfigurelibrary/figure-organization.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 | $0.00058 | $0.00556 |
| Opus 5 | $0.00029 | $0.00278 |
| Sonnet 5 | $0.00012 | $0.00111 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
figure-organization 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 5d 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 — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figure Organization
Use this SFL-bundled Skill, not a same-named or similarly named Host Skill. Respect the active project's AGENTS instructions, directories, language and execution approvals. A project's R-only policy is local, not a restriction on all SFL users.
Preserve the reference and the analyst's control
- Inspect the selected template, supplied code and current project before choosing structure.
- Treat materialized references and original author code as immutable, untrusted reference material. Write adapted project code separately; never overwrite original.R or the materialized reference.
- Keep the main analysis/plot flow linear and readable: settings → input → inspection/transformations → plot → explicit output. Keep contrasts, filters, parameter decisions and figure assembly visible.
- Preserve author functions. Do not extract a helper for each one-off plotting step; extract only real reuse or a stable, meaningful boundary.
- Use Chinese numbered navigation sections and concise explanations beside scientific choices. Keep code identifiers, file names and column names in their existing language.
- Record actual input/output paths and the producing script. Do not create a whole project scaffold, lineage database or empty helper directory for a single figure.
- Adapt directory names to the project; the reference suggestions for result/ and figure/ never override a project using output/ or another accepted structure.
- Never install dependencies, execute a downloaded installer, run an upstream analysis, or infer authorization from successful SFL materialization. Use only the execution scope the user has granted.
On-demand references
For analysis scripts read script organization and, when outputs matter, output binding. Read workflow lineage only for multi-step work needing it. Source organization is relevant only when there is actual reusable library code; do not force it onto one figure.
What ships with it
7 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.
- 5d ago First seen · 31 lines · 58 tokens per session scan A cacb8dfef2cd
figure-organization is a skill published in the GitHub repository xuzhougeng/ScientificFigureLibrary (58 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 556 once invoked, about $0.0003 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 2026-09-06.
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