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 tuoxie2046/claude-code-research-skills --skill nature-figuregit clone --depth 1 https://github.com/tuoxie2046/claude-code-research-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/tuoxie2046/claude-code-research-skills/nature-figure)<a href="https://agentmods.dev/skills/tuoxie2046/claude-code-research-skills/nature-figure"><img src="https://agentmods.dev/badge/skills/tuoxie2046/claude-code-research-skills/nature-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/tuoxie2046/claude-code-research-skills/nature-figure"><img src="https://agentmods.dev/badge/skills/tuoxie2046/claude-code-research-skills/nature-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 | $0.00149 | $0.01057 |
| Opus 5 | $0.00075 | $0.00528 |
| Sonnet 5 | $0.00030 | $0.00211 |
| Haiku 4.5 | $0.00015 | $0.00106 |
Grade A, and why
nature-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 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
60 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.
- .gitignore 10 B
- assets/chart-atlas/atlas-01-bar-charts.png 122 KB
- assets/chart-atlas/atlas-02-line-trends.png 414 KB
- assets/chart-atlas/atlas-03-heatmaps.png 156 KB
- assets/chart-atlas/atlas-04-scatter-bubble.png 474 KB
- assets/chart-atlas/atlas-05-radar-polar.png 615 KB
- assets/chart-atlas/atlas-06-distributions.png 228 KB
- assets/chart-atlas/atlas-07-forest-interval.png 264 KB
- assets/chart-atlas/atlas-08-area-stacked.png 327 KB
- assets/chart-atlas/atlas-09-image-plates.png 351 KB
- assets/chart-atlas/atlas-10-network-matrix.png 305 KB
- assets/figures4papers/assets/Dispersion_motivation.png 818 KB
- assets/figures4papers/assets/Dispersion_observation_distillation.png 602 KB
- assets/figures4papers/assets/Dispersion_observation.png 790 KB
- assets/figures4papers/assets/ImmunoStruct_contrastive.png 490 KB
- assets/figures4papers/assets/ImmunoStruct_results_CEDAR.png 1252 KB
- assets/figures4papers/assets/ImmunoStruct_results_IEDB.png 934 KB
- assets/figures4papers/assets/ImmunoStruct_schematic.png 950 KB
- assets/figures4papers/assets/RNAGenScape_schematic.png 977 KB
- assets/figures4papers/figure_brainteaser/figures/brute_force.png 1712 KB
- assets/figures4papers/figure_brainteaser/figures/correctness_by_category.png 640 KB
- assets/figures4papers/figure_brainteaser/figures/correctness_by_subcategory.png 1075 KB
- assets/figures4papers/figure_brainteaser/figures/rewriting.png 400 KB
- assets/figures4papers/figure_brainteaser/figures/selfcorrection_math.png 597 KB
- assets/figures4papers/figure_brainteaser/plot_brute_force.py 9.9 KB runs code
- assets/figures4papers/figure_brainteaser/plot_correctness_by_category.py 6.3 KB runs code
- assets/figures4papers/figure_brainteaser/plot_correctness_by_subcategory.py 6.4 KB runs code
- assets/figures4papers/figure_brainteaser/plot_rewriting.py 3.6 KB runs code
- assets/figures4papers/figure_brainteaser/plot_selfcorrection_math.py 3.9 KB runs code
- assets/figures4papers/figure_CellSpliceNet/figures/ablation.png 347 KB
- assets/figures4papers/figure_CellSpliceNet/figures/comparison.png 794 KB
- assets/figures4papers/figure_CellSpliceNet/plot_ablation.py 2.9 KB runs code
- assets/figures4papers/figure_CellSpliceNet/plot_comparison.py 3.8 KB runs code
- assets/figures4papers/figure_Cflows/diffusion_swiss_roll.py 3.5 KB runs code
- assets/figures4papers/figure_Cflows/figures/diffusion_swiss_roll.png 1753 KB
- assets/figures4papers/figure_Cflows/figures/fig2_comparison_GeneRegulatory.pdf 24 KB
- assets/figures4papers/figure_Cflows/figures/fig2_comparison_GeneRegulatory.png 281 KB
- assets/figures4papers/figure_Cflows/figures/fig2_comparison_Trajectory.pdf 19 KB
- assets/figures4papers/figure_Cflows/figures/fig2_comparison_Trajectory.png 379 KB
- assets/figures4papers/figure_Cflows/figures/figX_comparison_Ablation.pdf 19 KB
- assets/figures4papers/figure_Cflows/figures/figX_comparison_Ablation.png 321 KB
- assets/figures4papers/figure_Cflows/plot_comparison_Ablation.py 2.4 KB runs code
- assets/figures4papers/figure_Cflows/plot_comparison_GeneRegulatory.py 3.0 KB runs code
- assets/figures4papers/figure_Cflows/plot_comparison_Trajectory.py 2.9 KB runs code
- assets/figures4papers/figure_Dispersion/figures/idea.png 376 KB
- assets/figures4papers/figure_Dispersion/figures/illustration.png 745 KB
- assets/figures4papers/figure_Dispersion/plot_idea.py 2.4 KB runs code
- assets/figures4papers/figure_Dispersion/plot_illustration.py 15 KB runs code
- assets/figures4papers/figure_FPGM/figures/freq_prior.png 626 KB
- assets/figures4papers/figure_FPGM/plot_freq_prior.py 6.4 KB runs code
- assets/figures4papers/figure_ImmunoStruct/figures/bars_ablation_Cancer.png 798 KB
- assets/figures4papers/figure_ImmunoStruct/figures/bars_ablation_IEDB.png 1133 KB
- assets/figures4papers/figure_ImmunoStruct/figures/bars_comparison_Cancer.png 781 KB
- assets/figures4papers/figure_ImmunoStruct/figures/bars_comparison_IEDB.png 740 KB
- assets/figures4papers/figure_ImmunoStruct/plot_bars.py 7.5 KB runs code
- assets/figures4papers/figure_ImmunoStruct/raw_data.py 4.4 KB runs code
- assets/figures4papers/figure_ophthal_review/figures/composition_heatmap.png 273 KB
- assets/figures4papers/figure_ophthal_review/figures/trend_by_month.png 356 KB
- assets/figures4papers/figure_ophthal_review/plot_composition.py 3.0 KB runs code
- assets/figures4papers/figure_ophthal_review/plot_trend.py 5.4 KB runs code
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 · 61 lines · 149 tokens per session scan A 8699cee0c047
nature-figure is a skill published in the GitHub repository tuoxie2046/claude-code-research-skills (5 stars, last pushed 2mo ago), with no licence file. It adds 149 tokens to every session and 1,057 once invoked, about $0.0007 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 2026-09-03.
Other skills, from other repositories
food-research
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food-paper
Multi-subagent manuscript system for food & nutrition science covering the whole research process: understand the field, frame research questions, curate and analyze data, run statistics, build figures and tables, construct the discussion, draft, polish, and self-review — journal-aware throughout. Includes a…
food-pipeline
Master orchestrator for the whole food & nutrition research-to-publication workflow. Coordinates the specialist skills — each with its own subagent set — into one governed path: journal selection, research (food-research / food-deep-research), writing & analysis (food-paper), figures (food-figure), peer review…
food-deep-research
General-purpose deep research that produces a fully written, source-validated literature review on any question: scope it, design the method, discover and screen sources by journal ranking, validate every source, extract and verify evidence, synthesize, stress-test, then write and format the review (APA 7.0 by…
food-figure
Comprehensive figure system for food & nutrition manuscripts: analyzes the user's data, recommends the best figure(s) to make, then produces submission-grade graphics in Python or R at the target journal's spec. Handles all common scientific figure types (bar/box/violin, line/kinetic, scatter/regression, Bland–Altman…
food-review
Multi-reviewer peer-review system for food & nutrition manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology/statistics, domain/novelty, integrity/ethics), and a devil's advocate — plus a formatting-compliance check against the target journal (APA 7.0 by default, or a…