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 HuiyuLi-2000/Chinese-Grant-Writer-Skills --skill fund-technical-route-writergit clone --depth 1 https://github.com/HuiyuLi-2000/Chinese-Grant-Writer-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/huiyuli-2000/chinese-grant-writer-skills/fund-technical-route-writer)<a href="https://agentmods.dev/skills/huiyuli-2000/chinese-grant-writer-skills/fund-technical-route-writer"><img src="https://agentmods.dev/badge/skills/huiyuli-2000/chinese-grant-writer-skills/fund-technical-route-writer/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/huiyuli-2000/chinese-grant-writer-skills/fund-technical-route-writer"><img src="https://agentmods.dev/badge/skills/huiyuli-2000/chinese-grant-writer-skills/fund-technical-route-writer.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 | $0.01549 |
| Opus 5.5 | $0.00031 | $0.00620 |
| Sonnet 5.5 | $0.00015 | $0.00310 |
| Haiku 4.5 | $0.00008 | $0.00155 |
Grade A, and why
fund-technical-route-writer 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 2mo 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NSFC「研究方法—技术路线—创新和特色」写作技能
核心定位
本技能不是创造新的研究方案,而是在用户已有研究构想基础上,对研究方法、技术路线和创新特色进行学术化表达、逻辑优化与规范化呈现。
技能范围
本技能只负责 NSFC 申请书中的研究方法、技术路线与创新特色部分。
核心原则
- 不创造研究方案:在用户已有研究构想基础上进行学术化表达
- 逻辑优先:优先保证研究逻辑的严谨性,而非追求复杂表述或华丽措辞
- 闭环设计:研究内容→关键科学问题→研究方法→技术路线→创新特色必须形成完整闭环
- 用户优先:优先保留用户提供的材料、方法和框架
- 禁止迁移:不将历史本子的具体研究内容、研究对象、数据来源和结论迁移到新项目
知识库引用
本技能依赖以下知识库文件,写作时必须严格遵循:
研究方法
knowledge_base/methodology_style_guide.md:研究方法写作风格指南knowledge_base/methodology_patterns.md:研究方法组织逻辑范式
技术路线
knowledge_base/technical_route_style_guide.md:技术路线写作风格指南knowledge_base/technical_route_patterns.md:技术路线组织逻辑范式
创新特色
knowledge_base/innovation_style_guide.md:创新和特色写作风格指南knowledge_base/innovation_patterns.md:创新和特色凝练逻辑范式
参考文件
references/info_form.md:用户输入信息表references/output_skeletons.md:输出骨架模板references/validation_menu.md:验证菜单references/anti_patterns.md:反模式清单references/terminology_sheet.md:术语表
工作流程
Step 1:阅读用户输入
阅读用户提供的研究目标、研究内容、关键科学问题及所有附加材料。
必填:研究目标、研究内容、关键科学问题 选填:指定研究方法、已有草稿、参考代码、算法框架、方法设计文档、流程图草稿等
Step 2:分析研究逻辑
分析研究目标→研究内容→关键科学问题的逻辑链,识别:
- 研究内容之间的逻辑关系(递进/并列/支撑)
- 项目类型(数据驱动/优化决策/方法研究/实证研究/机制研究)
- 需要哪些类型的方法
Step 3:设计或优化研究方法
根据 methodology_style_guide.md 和 methodology_patterns.md:
情况1:用户仅提供研究目标、研究内容和关键科学问题 → 自行设计研究方法,按方法选择决策树和项目类型选择方法组合
情况2:用户已提供研究方法 → 优先理解和继承用户的方法设计,检查方法与研究内容的映射是否完整
情况3:用户已提供部分研究方法和部分技术路线 → 重点优化其逻辑衔接,优先保留用户已有设计
输出:研究方法部分(含方法列举、用途说明、与研究内容的映射)
Step 4:构建技术路线
根据 technical_route_style_guide.md 和 technical_route_patterns.md:
- 确定展开层级(默认细粒度):
- 细粒度(默认):按子研究→孙研究展开,与研究内容三级结构对齐
- 粗粒度:仅在用户显式指定时使用
- 设计总体技术路线(1段总体研究思路 + 1张总体路线图)
- 设计分内容技术路线:
- 细粒度:每个子研究写帽段+路线图+孙研究独立段落(6步语义顺序)
- 粗粒度:每个子研究写1段合并方案+1张图
- 确保方法嵌入路线、形成闭环
输出:技术路线文字描述 + 技术路线图设计方案
Step 5:设计技术路线图
提供技术路线图的 Mermaid 代码或设计建议:
- 总体路线图:体现全局逻辑
- 分内容路线图:体现具体操作
- 标注研究方法
- 体现闭环设计
Step 6:提炼创新和特色
根据 innovation_style_guide.md 和 innovation_patterns.md:
- 从研究内容中识别突破点
- 从关键科学问题中识别创新对应
- 从研究方法中识别方法创新
- 按创新类型(方法/视角/理论/应用/框架/集成)组织创新点
- 确保创新点与研究内容、关键科学问题呼应
What ships with it
12 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.
- config.yaml 3.0 KB
- knowledge_base/innovation_patterns.md 5.4 KB
- knowledge_base/innovation_style_guide.md 5.0 KB
- knowledge_base/methodology_patterns.md 11 KB
- knowledge_base/methodology_style_guide.md 4.0 KB
- knowledge_base/technical_route_patterns.md 8.1 KB
- knowledge_base/technical_route_style_guide.md 12 KB
- references/anti_patterns.md 3.6 KB
- references/info_form.md 2.2 KB
- references/output_skeletons.md 6.2 KB
- references/terminology_sheet.md 3.5 KB
- references/validation_menu.md 2.9 KB
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.
- 2mo ago First seen · 153 lines · 77 tokens per session scan A fa0ed244fd7e
fund-technical-route-writer is a skill published in the GitHub repository HuiyuLi-2000/Chinese-Grant-Writer-Skills (493 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 1,549 once invoked, about $0.0003 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.
fund-technical-route-writer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fund-technical-route-writerHuiyuLi-2000/Chinese-Grant-Writer-Skills | Skill | 493 | 4mo ago | MIT | A | 77 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |