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 Wesley-Yin77/nsfc_medicine_all --skill nsfc-figuregit clone --depth 1 https://github.com/Wesley-Yin77/nsfc_medicine_allWrote 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/wesley-yin77/nsfc_medicine_all/nsfc-figure)<a href="https://agentmods.dev/skills/wesley-yin77/nsfc_medicine_all/nsfc-figure"><img src="https://agentmods.dev/badge/skills/wesley-yin77/nsfc_medicine_all/nsfc-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/wesley-yin77/nsfc_medicine_all/nsfc-figure"><img src="https://agentmods.dev/badge/skills/wesley-yin77/nsfc_medicine_all/nsfc-figure.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00077 | $0.01257 |
| Opus 5 | $0.00039 | $0.00629 |
| Sonnet 5 | $0.00015 | $0.00251 |
| Haiku 4.5 | $0.00008 | $0.00126 |
Grade A, and why
nsfc-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 12d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NSFC Figure — 标书配图设计器
辅助设计NSFC标书中的核心图表，对标中标标书的视觉呈现标准。
Routing protocol
1. Load the manifest and core layer
Read manifest.yaml. Always load:
../../../_shared/core/winning-patterns.md— 图表使用模式static/core/stance.md— 默认立场static/core/figure-taxonomy.md— 图表类型学
2. Detect axes
| Axis | Values | Method |
|---|---|---|
figure_type |
mechanism / workflow / data / combined | 从用户需求检测 |
backend |
python / r / schematic（示意） | 根据图表类型推荐 |
3. Load matching fragments
figure_type→static/fragments/{mechanism,workflow,data,combined}.mdbackend→static/fragments/backend/{python,r,schematic}.md
4. NSFC标书图表类型体系
| 图类型 | 用途 | 中标标书出现率 | 制作工具 |
|---|---|---|---|
| 机制假说图 | 总结全文假说、关键分子/通路关系 | 100% | 推荐BioRender/PPT方向，AI辅助设计 |
| 信号通路图 | 展示已知通路+本研究探索部分 | 90% | 同上 |
| 技术路线图 | 研究步骤流程图 | 85% | Mermaid/流程图工具 |
| 预实验数据图 | Western blot/统计图/显微照片 | 100% | Python/matplotlib, R/ggplot2 |
| 生物信息学图 | 热图/火山图/GSEA/韦恩图 | 80% | Python/R |
| 临床相关性图 | 生存曲线/ROC/相关矩阵 | 45% | R/GraphPad风格 |
5. 机制假说图设计原则
基于中标标书中机制假说图的分析：
布局模式
┌─────────────────────────────────────────────────┐
│ [上游刺激/病理条件] │
│ ↓ │
│ ┌─────────────┐ │
│ │ 核心分子A │ ← 本研究关注的核心 │
│ └──────┬──────┘ │
│ ↓ (虚线 = 待验证) │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ 通路B │ ─?──→│ 效应蛋白C │ │
│ └──────┬──────┘ └──────┬──────┘ │
│ ↓ ↓ │
│ ┌──────────────────────────────────┐ │
│ │ 细胞表型D │ │
│ └──────────────┬───────────────────┘ │
│ ↓ │
│ ┌──────────────────────────────────┐ │
│ │ 疾病结局E │ │
│ └──────────────────────────────────┘ │
│ │
│ 图例: ── 已知通路 - - - 本研究假说 ? 待验证 │
└─────────────────────────────────────────────────┘
What ships with it
5 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.
- 12d ago First seen · 113 lines · 77 tokens per session scan A 48afa8eb698c
nsfc-figure is a skill published in the GitHub repository Wesley-Yin77/nsfc_medicine_all (63 stars, last pushed 2mo ago), licensed MIT. It adds 77 tokens to every session and 1,257 once invoked, about $0.0004 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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