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 Azhi-ss/academic-figure-skills --skill fig-analyzegit clone --depth 1 https://github.com/Azhi-ss/academic-figure-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/azhi-ss/academic-figure-skills/fig-analyze)<a href="https://agentmods.dev/skills/azhi-ss/academic-figure-skills/fig-analyze"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/fig-analyze/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/azhi-ss/academic-figure-skills/fig-analyze"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/fig-analyze.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 | $0.00045 | $0.00752 |
| Opus 5.5 | $0.00018 | $0.00301 |
| Sonnet 5.5 | $0.00009 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
fig-analyze 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.
What it actually says
fig-analyze
把仓库、论文或草稿、参考图分析成可交接结果。本 skill 不写 prompt，也不生图。
先检查输入内容，再选择路径。不要把所有 URL 当成仓库：打开页面或正文后，再判断它是论文、代码仓库，还是图。
检查时看这三件事：
- 正文、章节或 LaTeX/Markdown 结构 → 论文或草稿
- 源码、README、依赖与入口脚本 → 仓库
- 图本身、图注，或 PDF 里的嵌入图 → 参考图
路由
草稿、大纲或完整手稿
Markdown、LaTeX、PDF 正文，或论文 URL 打开后的正文，读 references/paper.md，产出 Figure Plan v1。
- 笔记、大纲、早期草稿：只规划 Figure 1（Overall Framework），不要强行补实验图。
- 含实验结果的完整手稿：按论文主张规划多图。
- 当前环境读不了 PDF 或网页时，报告限制，不要编造章节结构。
仓库
本地仓库路径，或打开后确认为代码仓库的 URL，读 references/repo.md，产出 Semantic Architecture Handoff v1。任务或框架分类不确定时，再读 references/keywords.md。
论文加仓库
论文与用户意图决定叙事和拓扑。仓库只核验参数、张量维度、模块名与执行方向，不另起一套架构。
参考图
外部风格参考图、PDF 中的图，或图片，读 references/reference-figure.md，产出 ReferenceAnalysis v1。
- PDF 正文与图注用 PDF reader。
- 只有需要抽出图片候选时，才运行
scripts/extract_pdf_figures.py。 - 该脚本只按尺寸筛候选，不是结构分类器；保留、丢弃或不确定仍由证据判断。
证据不足时读 references/missing-info-policy.md。标出缺失项，不要补造模块、边或数值。
交接
字段与 JSON 形状以对应 reference 里的定义为准，此处不重写 schema：
- Semantic Architecture Handoff v1（
academic-figure/SemanticArchitecture@1）→references/repo.md - Figure Plan v1（
academic-figure/FigurePlan@1）→references/paper.md - ReferenceAnalysis v1（
academic-figure/ReferenceAnalysis@1）→references/reference-figure.md
多种输入同时出现时，各走各的 reference，再按「论文定叙事、仓库只核验」合并。不要改字段名。参考图中的标签、主张与拓扑不要写入新方法图，除非用户明确要求忠实重绘。
停止
分析结果交付后即停止。用户要 prompt 或要图时，交给 fig-draw。不要在本 skill 里编译 prompt，也不要生图。
What ships with it
6 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 · 61 lines · 45 tokens per session scan A c35e88ae583b
fig-analyze is a skill published in the GitHub repository Azhi-ss/academic-figure-skills (158 stars, last pushed 5d ago), licensed MIT. It adds 45 tokens to every session and 752 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 2026-10-12.
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ml-paper-writing
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ml-paper-writing
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