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-structuregit 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-structure)<a href="https://agentmods.dev/skills/wesley-yin77/nsfc_medicine_all/nsfc-structure"><img src="https://agentmods.dev/badge/skills/wesley-yin77/nsfc_medicine_all/nsfc-structure/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-structure"><img src="https://agentmods.dev/badge/skills/wesley-yin77/nsfc_medicine_all/nsfc-structure.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 | $0.00107 | $0.01538 |
| Opus 5 | $0.00053 | $0.00769 |
| Sonnet 5 | $0.00021 | $0.00308 |
| Haiku 4.5 | $0.00011 | $0.00154 |
Grade A, and why
nsfc-structure 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 11d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NSFC Structure — 标书架构诊断器
对标书的整体架构进行系统性审查，基于22份已中标标书的黄金结构比例。
Routing protocol
1. Load the manifest and core layer
Read manifest.yaml. Then read every file listed under always_load:
../../../_shared/core/nsfc-taxonomy.md— 资助类别与申请代码体系../../../_shared/core/winning-patterns.md— 已中标标书共性模式static/core/stance.md— 架构诊断的默认立场
2. Detect axes
| Axis | Values | Method |
|---|---|---|
grant_type |
面上 / 青年 / 地区 / 重点 | 从用户描述或标书封面信息检测 |
department |
H01-H29 | 从申请代码检测 |
stage |
大纲规划 / 结构诊断 / 完整审查 | 从用户需求检测 |
3. Load matching fragments
grant_type→static/fragments/grant_type/{面上,青年,地区}.mdstage→static/fragments/stage/{outline,diagnosis,review}.md
4. Apply diagnostics
按以下优先级诊断：
- 完整性检查 — 是否包含NSFC模板要求的全部章节
- 比例检查 — 各章节字数是否符合黄金比例（立项依据50-60%，其余均衡）
- 逻辑流检查 — 从Science Question → Hypothesis → Design → Evidence是否自洽
- 一致性检查 — 摘要、立项依据、研究方案、创新点是否说了同一件事
章节配置模板
根据资助类别，提供差异化的结构模板和字数规范：
各章节字数建议表（综合章节模板规范与22份中标标书实际数据）
| 章节 | 面上项目 | 青年项目 | 地区项目 | 强制要求 |
|---|---|---|---|---|
| 摘要 | 380-400字符 | 380-400字符 | 380-400字符 | 400字符上限（不是400字！含标点空格） |
| 科学问题属性 | 2025后仅选不写 | 同左 | 同左 | 如仍需要写：≤800字 |
| 立项依据 | 5000-7000字 | 4000-5000字 | 4000-6000字 | 分4-6节递进，含图 |
| 研究内容+目标+关键科学问题 | ~1500字 | ~1200字 | ~1200字 | —— |
| 研究方案+可行性 | 3000-4000字 | 2500-3500字 | 2500-3500字 | 含技术路线图 |
| 特色创新 | ~500字 | ~400字 | ~400字 | 3-4点（青年2-3点） |
| 年度计划+预期成果 | ~500字 | ~400字 | ~400字 | —— |
| 研究基础+工作条件 | ~1500字 | ~1200字 | ~1200字 | 预实验≥1页 |
| 正文合计 | 约8000字 | 约7000字 | 约7000字 | NSFC建议4000-8000字 |
数据说明：综合公开章节模板规范、项目实践经验和22份中标标书的实际字数统计。
立项依据内部各节字数分配
| 小节 | 占比 | 面上字数 | 青年字数 |
|---|---|---|---|
| 疾病背景+临床重要性 | 10-15% | 500-800 | 400-600 |
| 切入研究领域（领域综述） | 20-25% | 1200-1600 | 800-1100 |
| 核心分子/通路证据（含预实验） | 30-35% | 1800-2400 | 1200-1600 |
| 深入机制层面 | 15-20% | 800-1200 | 600-900 |
| 小结+假说+Gap | 10-15% | 500-800 | 400-600 |
What ships with it
4 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.
- 11d ago First seen · 91 lines · 107 tokens per session scan A cf34234cbc55
nsfc-structure is a skill published in the GitHub repository Wesley-Yin77/nsfc_medicine_all (63 stars, last pushed 2mo ago), licensed MIT. It adds 107 tokens to every session and 1,538 once invoked, about $0.0005 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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