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 nanoAgentTeam/research-claw --skill figure-drawinggit clone --depth 1 https://github.com/nanoAgentTeam/research-clawWrote 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/nanoagentteam/research-claw/figure-drawing)<a href="https://agentmods.dev/skills/nanoagentteam/research-claw/figure-drawing"><img src="https://agentmods.dev/badge/skills/nanoagentteam/research-claw/figure-drawing.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.01185 |
| Opus 5 | $0.00031 | $0.00593 |
| Sonnet 5 | $0.00012 | $0.00237 |
| Haiku 4.5 | $0.00006 | $0.00119 |
Grade A, and why
figure-drawing 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 8d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Figure Drawing
CRITICAL RULES (read first)
- NEVER inline TikZ code into paper sections. No
\begin{tikzpicture}insidesections/*.texormain.tex. - NEVER
\input{figures/xxx.tex}a raw .tex file. The paper must use\includegraphics. - Every figure = standalone .tex → compile → PDF/PNG →
\includegraphics. - Always compile and verify the standalone figure before inserting into the paper.
SOP
Step 1: Plan the figure
Before writing any code, decide:
- Type: taxonomy tree, architecture diagram, flowchart, bar/line chart, comparison table, timeline
- Content: what nodes/elements to show (read the relevant paper sections first)
- Layout direction: top-to-bottom or left-to-right (pick whichever avoids crowding)
- Estimated element count: if > 20 nodes, split into multiple figures
Step 2: Write the TikZ source
Write a standalone .tex file in figures/:
\documentclass[tikz,border=10pt]{standalone}
\usepackage[T1]{fontenc}
\usepackage{tikz}
\usetikzlibrary{positioning, arrows.meta, shapes, fit, backgrounds}
% Add other libraries as needed
\begin{document}
\begin{tikzpicture}[...]
% figure content
\end{tikzpicture}
\end{document}
Step 3: Compile to PDF, then convert to PNG
cd figures/
pdflatex -interaction=nonstopmode xxx.tex
# Convert PDF to PNG (try available tools in order)
pdftoppm -png -r 300 xxx.pdf xxx_fig # produces xxx_fig-1.png
# OR: convert xxx.pdf -density 300 xxx.png
# OR: sips -s format png xxx.pdf --out xxx.png (macOS)
If pdftoppm / convert / sips are all unavailable, keep the PDF and use
\includegraphics{figures/xxx.pdf} as fallback.
Step 4: Insert into paper
\begin{figure}[t]
\centering
\includegraphics[width=\columnwidth]{figures/xxx.png}
\caption{Descriptive caption.}
\label{fig:xxx}
\end{figure}
Step 5: Visual check
After compiling the full paper, verify the figure renders correctly and is
referenced in the text with \ref{fig:xxx}.
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.
- 8d ago First seen · 127 lines · 62 tokens per session scan A 943822d5e9c4
figure-drawing is a skill published in the GitHub repository nanoAgentTeam/research-claw (292 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,185 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 2026-08-30.
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