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 agentmods add commands/abhinavbwj/aec-scholar/figuregit clone --depth 1 https://github.com/Abhinavbwj/AEC-ScholarWrote 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/commands/abhinavbwj/aec-scholar/figure)<a href="https://agentmods.dev/commands/abhinavbwj/aec-scholar/figure"><img src="https://agentmods.dev/badge/commands/abhinavbwj/aec-scholar/figure.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00410 |
| Opus 5 | $0.00010 | $0.00205 |
| Sonnet 5 | $0.00004 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
figure 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 6d 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
Design a figure for: $ARGUMENTS
Use the figure-designer agent and the scientific-figures skill.
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Clarify the message & data. What is the single point this figure must make, and what data/structure underlies it (distribution, comparison, relationship, trend, composition, multi-objective trade-off, network, or a workflow/system diagram)?
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Recommend the chart/diagram type for that message + data, and say what to avoid (e.g. no pie, no dual axes, no truncated bars, no 3D).
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Specify honest, accessible encoding — zero-baseline bars, shown uncertainty (state what error bars mean), labelled axes with units, colour-blind-safe palette (Okabe–Ito/viridis) + redundant shape/ linestyle, vector output, legible fonts at print scale.
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Generate reproducible source:
- Data plots → runnable matplotlib/seaborn or ggplot2 code (with accessible rcParams/theme and
savefig/ggsaveto PDF), using clearly marked placeholder data if the user hasn't supplied real data. - Diagrams (workflow, architecture, BIM/data pipeline, concept map) → Mermaid (renders inline) or TikZ/Graphviz source.
- Data plots → runnable matplotlib/seaborn or ggplot2 code (with accessible rcParams/theme and
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Draft the caption (self-contained: what it shows, n, what error bars denote) and run a quick accessibility/print check.
Never invent or "beautify" data points or fabricate a plotted result; mark placeholders and tell the user exactly what to plug in.
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.
- 6d ago First seen · 34 lines · 20 tokens per session scan A ba91d2a84305
figure is a command published in the GitHub repository Abhinavbwj/AEC-Scholar (18 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 410 once invoked, about $0.0001 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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