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-innovationgit 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-innovation)<a href="https://agentmods.dev/skills/wesley-yin77/nsfc_medicine_all/nsfc-innovation"><img src="https://agentmods.dev/badge/skills/wesley-yin77/nsfc_medicine_all/nsfc-innovation/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-innovation"><img src="https://agentmods.dev/badge/skills/wesley-yin77/nsfc_medicine_all/nsfc-innovation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00083 | $0.01048 |
| Opus 5 | $0.00042 | $0.00524 |
| Sonnet 5 | $0.00017 | $0.00210 |
| Haiku 4.5 | $0.00008 | $0.00105 |
Grade A, and why
nsfc-innovation 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.
What it actually says
NSFC Innovation — 特色与创新提炼器
对标书的创新点进行挖掘、凝练和包装，确保每个创新点精准、可验证、不失实。
Routing protocol
1. Load the manifest and core layer
Read manifest.yaml. Always load:
../../../_shared/core/winning-patterns.md— 创新点撰写模式../../../_shared/core/ethics.md— 不过度包装的边界static/core/stance.md— 默认立场
2. Detect axes
| Axis | Values | Method |
|---|---|---|
grant_type |
面上 / 青年 / 地区 | 从用户描述检测 |
innovation_type |
理论创新 / 技术创新 / 方法创新 / 交叉创新 | 从标书内容检测 |
3. Apply innovation extraction protocol
创新点的分层框架（中标标书模式）
每个创新点的标准写法：
创新点N：[核心主张，一句话]
[2-4句展开说明，包含：]
- 现有认知/方法的局限性
- 本研究的突破之处
- 突破带来的价值/意义
创新维度分类与范例
| 创新维度 | 典型表述模式 | 中标范例 |
|---|---|---|
| 理论创新 | "首次揭示/阐明……" | "首次系统证明ALS中存在铁死亡" |
| 靶点创新 | "发现……在……中的新功能" | "首次揭示Spy1在ALS运动神经元中的保护作用" |
| 机制创新 | "提出……→……→……的新调控轴" | "创新性地提出Angptl7/ITGB1/β-catenin调控轴" |
| 技术创新 | "建立/开发……新方法/新技术" | "构建新材料靶向投递系统" |
| 视角创新 | "从一个新的角度……" | "从肠系膜淋巴管内皮屏障损伤角度揭示……" |
| 交叉创新 | "融合……与……的方法/理论" | 生物信息学+实验验证闭环 |
创新点评级标准
| 等级 | 标准 | 占比（中标标书中） |
|---|---|---|
| Tier 1 | 真正首次发现/提出，有strong pre-data支撑 | ~30% |
| Tier 2 | 在已知基础上的重要延伸/修正 | ~50% |
| Tier 3 | 方法/视角的优化与创新应用 | ~20% |
4. Anti-patterns
| 坑 | 说明 | 修正 |
|---|---|---|
| "首次"滥用 | 4个创新点3个用"首次" | 最多1-2个"首次"，其余用"揭示/阐明/提出" |
| 创新点=技术罗列 | "使用CRISPR、单细胞测序等" | 这是手段不是创新 |
| 空话套话 | "具有重要的理论意义和应用价值" | 具体说明什么理论意义、什么应用场景 |
| 创新与正文脱节 | 正文没展开的创新点在创新栏出现 | 每个创新点必须在正文中有详细论述 |
| 创新点混乱 | 理论创新/技术创新/应用创新混在一起 | 分类清晰，每点聚焦单一维度 |
| 过度包装 | 把incremental advance说成revolution | 保持学术诚信，用"揭示""阐明"而非"颠覆""革命性" |
5. 青年项目的创新点策略
青年项目评审更看重"独立科研能力"和"创新潜力"：
- 3个创新点即可（面上3-4个）
- 第1点应突出：申请人在该方向的独特积累
- 即使是公认领域的微创新，只要切入点精准，也可以被视为有力创新
What ships with it
2 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 · 81 lines · 83 tokens per session scan A 52ee4d237989
nsfc-innovation is a skill published in the GitHub repository Wesley-Yin77/nsfc_medicine_all (63 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 1,048 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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