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 research-citation-checkgit 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/research-citation-check)<a href="https://agentmods.dev/skills/huangwb8/chineseresearchlatex/research-citation-check"><img src="https://agentmods.dev/badge/skills/huangwb8/chineseresearchlatex/research-citation-check/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/research-citation-check"><img src="https://agentmods.dev/badge/skills/huangwb8/chineseresearchlatex/research-citation-check.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 | $0.00200 | $0.01730 |
| Opus 5 | $0.00100 | $0.00865 |
| Sonnet 5 | $0.00040 | $0.00346 |
| Haiku 4.5 | $0.00020 | $0.00173 |
Grade A, and why
research-citation-check 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Citation Check
- 用于检查已有
{主题}_review.tex的正文引用是否真的与对应论文内容一致。 - 只在确认存在致命错误时最小化改写“包含该引用的句子”。
- 渲染 PDF/Word 优先依赖
research-literature-review；准备结构化输入不依赖该 skill。 - 兼容旧名
check-review-alignment的 prompt 触发；.check-review-alignment/仍是稳定历史工作区名。
输入
work_dir：包含*_review.tex与.bib- 可选
--tex：指定 tex 文件名
核心原则
- 不为了改而改
- 无法确认时不动
- 只改必要句子
- 保留所有 LaTeX 命令结构
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。
依赖检查
- 只有执行渲染时才强制检查
research-literature-review，过渡期可 fallback 到systematic-literature-review - 若只是
--prepare，不要求渲染依赖可用
预检与定位
- 找到
*_review.tex与对应.bib - 缺任何核心文件时立即停止
结构化上下文抽取
cd /path/to/research-citation-check
python3 scripts/run_ai_alignment.py --work-dir "/path/to/work_dir" --prepare
- 生成
ai_alignment_input.json - 输入中至少包含：句子、bibkey、文献元信息、DOI/URL、PDF 摘要段或 BibTeX 摘要
AI 语义核查
- 证据优先级：PDF 摘要段 > BibTeX abstract/title > 仅从句子推断
- 每条引用都要判断是否为：
fake_citationwrong_citationcontradictory_citationweak_supportoverclaimstyle_issue
- 无法确认时保持原样，并记录到 Warnings
报告
- 报告至少包含：
- Summary
- 具体细节
- Critical Fixes (P0)
- Warnings (P1)
- Rendering Result
- 每条引用的细节至少包含：标题、DOI、原句、文献实际内容、合理性评估、问题级别
渲染
cd /path/to/research-citation-check
python3 scripts/run_ai_alignment.py --work-dir "/path/to/work_dir" --render
输出
{work_dir}/.check-review-alignment/ai_alignment_report.md{work_dir}/.check-review-alignment/ai_alignment_input.json- 修改后的
{主题}_review.tex - 新生成的
{主题}_review.pdf - 新生成的
{主题}_review.docx
输出管理
本 Skill 的新任务中间文件统一写入 ./.bensz-api/task-{yyyymmdd-hhmm}-{简短描述}/{skill名}/input|output|log/。同一任务复用一个任务根目录；多 Skill 协作才创建 shared/。正式交付物不写入该目录，历史隐藏目录只允许显式兼容读取、迁移或清理。
What ships with it
7 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.
- 4d ago Changed · +6 lines 889166873df2
- 12d ago First seen · 128 lines · 200 tokens per session scan A 29b649869665
research-citation-check is a skill published in the GitHub repository huangwb8/ChineseResearchLaTeX (2,726 stars, last pushed yesterday), licensed MIT. It adds 200 tokens to every session and 1,730 once invoked, about $0.0010 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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