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 cabbage2000-lab/paper-tutor-skills --skill paper-figuregit clone --depth 1 https://github.com/cabbage2000-lab/paper-tutor-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/cabbage2000-lab/paper-tutor-skills/paper-figure)<a href="https://agentmods.dev/skills/cabbage2000-lab/paper-tutor-skills/paper-figure"><img src="https://agentmods.dev/badge/skills/cabbage2000-lab/paper-tutor-skills/paper-figure/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/cabbage2000-lab/paper-tutor-skills/paper-figure"><img src="https://agentmods.dev/badge/skills/cabbage2000-lab/paper-tutor-skills/paper-figure.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 | $0.00326 | $0.06793 |
| Opus 5.5 | $0.00130 | $0.02717 |
| Sonnet 5.5 | $0.00065 | $0.01359 |
| Haiku 4.5 | $0.00033 | $0.00679 |
Grade A, and why
paper-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 18d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
3 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.
- 18d ago Changed · +4 lines c4733e067adf
- 1mo ago First seen · 212 lines · 326 tokens per session scan A e0b7f0c9c97c
paper-figure is a skill published in the GitHub repository cabbage2000-lab/paper-tutor-skills (47 stars, last pushed 18d ago), with no licence file. It adds 326 tokens to every session and 6,793 once invoked, about $0.0013 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 2026-08-30.
Other skills, from other repositories
academic-figure
A Chinese-language toolkit for making and checking academic charts, diagrams, flowcharts, and graphical abstracts. A graphical abstract is a visual summary of a research paper, while a flowchart shows the steps or decisions in a process.
thesis-figures
A Chinese-language thesis figure workflow that advises on whether to make a visual, chooses a drawing method, checks the underlying data, exports formats, records figures, and reviews the resulting PNG.
fig-draw
Plan, generate, inspect, and refine academic figures from repositories, papers, draft notes, paper URLs, PDFs, or reference images. Design evidence-grounded academic figures and construct, diagnose, or revise scientific image prompts, including semantic palettes, reference-led styles, prompt engineering…
refactor-research-code
Clean research code for public release while preserving reported results. Uses releaseaudit.py to separate safe mechanical cleanup from ask-first behavior risks and identity leaks. Use for release-ready repos, dead experiment branches, config extraction, documented entrypoints, and double-blind code cleanup.
prepare-artifacts
Prepares a reproducibility artifact (code/data) for submission and badging. Use when a researcher says "artifact evaluation", "artifact appendix", "reproducibility", "badge", "Artifacts Available/Evaluated/Functional/Reusable", "Results Reproduced/Replicated", "ACM badging", "USENIX/OSDI/SOSP AE", "SIGMOD ARI"…
simulate-reviewers
Venue-calibrated peer-review simulation. Use when a researcher says "simulate reviewers", "mock review", "review my paper like a NeurIPS reviewer", "what would Reviewer 2 say", "red-team my paper", "find weaknesses before I submit", "peer review my paper", "strengths and weaknesses / pros and cons of my paper", "what…