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 GrayCodeAI/starling --skill research-academic-plottinggit clone --depth 1 https://github.com/GrayCodeAI/starlingWrote 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/graycodeai/starling/research-academic-plotting)<a href="https://agentmods.dev/skills/graycodeai/starling/research-academic-plotting"><img src="https://agentmods.dev/badge/skills/graycodeai/starling/research-academic-plotting/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/graycodeai/starling/research-academic-plotting"><img src="https://agentmods.dev/badge/skills/graycodeai/starling/research-academic-plotting.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 | $0.00038 | $0.00210 |
| Opus 5.5 | $0.00015 | $0.00084 |
| Sonnet 5.5 | $0.00008 | $0.00042 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
research-academic-plotting 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 1mo 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
Quick Reference: File Naming Convention
figures/
├── gen_fig_<name>.py # Generation script (always save for reproducibility)
├── fig_<name>.pdf # Final vector output (for LaTeX)
├── fig_<name>.png # Raster output (300 DPI, for AI-generated or fallback)
└── fig_<name>_attempt*.png # Gemini attempts (keep for comparison)
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.
- 1mo ago First seen · 31 lines · 38 tokens per session scan A 40f8deaefca6
research-academic-plotting is a skill published in the GitHub repository GrayCodeAI/starling (2 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 210 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 2026-08-31.
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academic-plotting
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academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn.…
academic-plotting
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econ-visualization
Generates publication-quality economics figures produced by code (R ggplot2, Python matplotlib/seaborn, Stata twoway/coefplot) and exported in vector format directly to the paper's figs/ folder. Defaults to DIME's "full replicability" tier and the Reviewing Graphs checklist — clear titles for standalone use, intuitive…