ChineseResearchLaTeX is a collection of LaTeX templates and an AI-assisted workflow for preparing Chinese research documents such as grant proposals, papers, theses, and academic CVs. Researchers use it to plan, format, review, compile, and revise these documents with human oversight. The catalogue skills and instructions support its agent-based research-writing workflow.
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 huangwb8/ChineseResearchLaTeX --skill nsfc-research-foundation-writergit clone --depth 1 https://github.com/huangwb8/ChineseResearchLaTeXWrote 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/huangwb8/chineseresearchlatex/nsfc-research-foundation-writer)<a href="https://agentmods.dev/skills/huangwb8/chineseresearchlatex/nsfc-research-foundation-writer"><img src="https://agentmods.dev/badge/skills/huangwb8/chineseresearchlatex/nsfc-research-foundation-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/huangwb8/chineseresearchlatex/nsfc-research-foundation-writer"><img src="https://agentmods.dev/badge/skills/huangwb8/chineseresearchlatex/nsfc-research-foundation-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 | $0.00089 | $0.02840 |
| Opus 5 | $0.00044 | $0.01420 |
| Sonnet 5 | $0.00018 | $0.00568 |
| Haiku 4.5 | $0.00009 | $0.00284 |
Grade A, and why
nsfc-research-foundation-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 4d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NSFC（三）研究基础编排写作器
目标输出（契约）
- 写入落点（2 个文件）：
extraTex/3.1.研究基础.tex（包含“研究风险的应对措施”）extraTex/3.2.工作条件.tex
- 禁止改动：
main.tex、extraTex/@config.tex、任何.cls/.sty - 核心目标：用“证据链 + 条件对位 + 风险预案”回答评审的三个问题：你做过吗？你做得成吗？出问题你怎么兜底？
参数与输出模式（建议显式提供）
project_root：标书项目根目录（如projects/NSFC_Young）output_mode（默认apply）：preview：只输出两段可复制的 LaTeX 正文草稿（并标注应写入的目标文件路径），不写入文件apply：仅写入两份目标文件（见“目标输出”），不触碰其他文件
必需输入（最小信息表）
- 若用户未提供，请先收集/补全：references/info_form.md
流程
输入
按用户请求和配置文件提供必要输入；缺失信息应明确列出并停止依赖该输入的步骤。
执行步骤
- 当用户环境中出现因本 skill 设计缺陷导致的 bug 时，优先使用
bensz-collect-bugs按规范记录到~/.bensz-skills/bugs/，严禁直接修改用户本地 Claude Code / Codex 中已安装的 skill 源码。 - 若 AI 仍可通过 workaround 继续完成用户任务，应先记录 bug，再继续完成当前任务。
- 当用户明确要求“report bensz skills bugs”等公开上报动作时，调用本地
gh与bensz-collect-bugs，仅上传新增 bug 到huangwb8/bensz-bugs；不要 pull / clone 整个 bug 仓库。
- 定位项目与目标文件：
- 验证
project_root是否存在，不存在时报错并提示用户指定正确路径 - 检查
extraTex/目录是否存在，不存在时提示用户先初始化/拷贝模板项目；必要时可在用户确认后创建 - 确认
project_root和output_mode（默认为apply）preview模式：只生成内容预览，不写入文件（适合调试）apply模式：将生成的内容写入extraTex/3.1.研究基础.tex和extraTex/3.2.工作条件.tex
- 仅编辑这两个文件，禁止修改
main.tex、extraTex/@config.tex、任何.cls/.sty
- 验证
- 生成
3.1 研究基础（证据链优先）：- 研究积累：围绕
2.1的关键任务，列出“做过什么/掌握什么/已有平台什么”。 - 阶段性成果：只写可核验内容（论文/专利/数据/原型/预实验现象）；不确定的细节用占位符要求用户补齐。
- 可行性四维：理论/技术/团队/条件各给 1–3 个支撑点，并与研究内容逐条对齐。
- 研究积累：围绕
- 在
3.1中显式写“研究风险的应对措施”：- 至少 3 条风险（技术/进度/资源各至少 1 条）
- 每条：风险描述 → 早期信号（触发阈值/现象）→ 预案/替代路线（含降级目标与可交付）
- 生成
3.2 工作条件（条件对位研究内容）：- 已具备条件：逐条列出，格式建议：
- 平台：XXX 平台（已具备 / 可访问）
- 数据：XXX 数据集（已获取 / 可公开获取）
- 样本：XXX 医院/机构（已签署合作协议 / 伦理审批中）
- 算力：XXX 服务器 / GPU（已配置 / 共享使用）
- 团队分工：成员 A 负责 XX，成员 B 负责 YY
- 合规路径：伦理审批（XXX 委员会，周期 X 个月）
- 尚缺条件与解决途径：逐条列出，格式建议：
- 缺少条件：XXX（影响：YYY）
- 解决途径：采购 / 合作 / 替代数据源 / 实验降级方案
- 时间表与责任人：如用户提供，应写入；如未提供，用占位符标记
- 已具备条件：逐条列出，格式建议：
- 一致性校验：
- 校验 1：检查
3.2 工作条件是否能逐条支撑2.1的关键任务- 方法：列出
2.1的每个关键任务，确认3.2中有对应的条件支撑 - 示例：
- 任务 1：XXX 实验 → 条件：XXX 平台、XXX 样本
- 任务 2：YYY 算法 → 条件：YYY 算力、ZZZ 数据
- 方法：列出
- 校验 2：检查风险预案是否与年度计划可兼容
- 方法：列出
2.3的每年里程碑，确认风险预案有对应的降级方案 - 示例：
- 第一年：样本获取 → 风险：样本入组慢 → 预案：有替代数据源与降级验证方案
- 方法：列出
- 校验失败时的处理：
- 如果发现不一致，标记为
[需补充：XXX]并提示用户 - 如果用户未提供
2.1或2.3，跳过对应校验并提示用户
- 如果发现不一致，标记为
- 校验 1：检查
What ships with it
10 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.
- CHANGELOG.md 1.3 KB
- config.yaml 1.6 KB
- README.md 2.7 KB
- references/dod_checklist.md 682 B
- references/example_output.md 2.0 KB
- references/info_form.md 1.3 KB
- scripts/_yaml_utils.py 2.3 KB runs code
- scripts/check_project_outputs.py 5.5 KB runs code
- scripts/run_checks.py 2.0 KB runs code
- scripts/validate_skill.py 5.3 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.
- 4d ago Changed · +3 lines b7ff60cf6350
- 13d ago First seen · 151 lines · 89 tokens per session scan A 93dfe00be627
nsfc-research-foundation-writer is a skill published in the GitHub repository huangwb8/ChineseResearchLaTeX (2,727 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 2,840 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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