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cn-source-research

Verifiable Chinese research evidence pack: official & primary sources first, facts/inferences/unknowns separated. 中文可信研究 Skill

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Created
Jul 30, 2026
Updated
Jul 30, 2026
Skills
GitHub repo

Introduction

cn-source-research

EN: Generate verifiable evidence packages for China market, policy, industry, competitor and technology research — not polished-looking but unverifiable reports. 中文： 为中国市场、政策、行业、竞品与技术调研生成"可核查证据包"，而不是看似专业却不可验证的报告。

Demo / 演示

Demo animation

中文： 上图为动画占位符。请替换为真实约 30 秒 GIF，建议录制完整流程：界定研究边界 → 建立 source ledger → 结论分级（事实/推论/假设）→ 冲突并列 → 生成四件交付物。

EN: The SVG above is an animated placeholder. Replace it with a real ~30s GIF showing the full workflow: define scope → build source ledger → classify claims (fact/inference/hypothesis) → present conflicts in parallel → emit the four deliverables.

What it is / 这是什么

cn-source-research 是一个开源、厂商中立的 Agent Skill，遵循开放 Agent Skills 格式，可被 Codex、Claude Code、Cursor、Gemini CLI 等宿主加载。它强制 AI 在中文调研中：

  • 优先官方与一手来源（政府 / 监管 / 公司公告 / 原始论文数据集）
  • 区分事实、推论、未知
  • 每条重要结论可回链验证
  • 冲突信息并列呈现，不强行合并
  • 不捏造网页、文献、数据或引文

EN: cn-source-research is an open, vendor-neutral Agent Skill in the open Agent Skills format, loadable by Codex, Claude Code, Cursor, Gemini CLI and similar hosts. It forces AI doing Chinese research to: prioritize official/primary sources; separate facts from inferences from unknowns; make every key conclusion back-link verifiable; present conflicts in parallel; and never fabricate web pages, literature, data or citations.

目标用户 / Target users： 创业者、咨询顾问、产品经理、投资研究员、跨境团队、学生 / entrepreneurs, consultants, PMs, investment researchers, cross-border teams, students.

Install / 安装

重要： 三个宿主各自独立安装，目录不共享。重复文件无害，但请分别执行命令。

Important: Install separately into each host's own skills directory — they do not share folders.

Claude Code

mkdir -p ~/.claude/skills
cp -r cn-source-research ~/.claude/skills/
# Windows (PowerShell):
# New-Item -ItemType Directory -Force -Path $HOME\.claude\skills
# Copy-Item -Recurse cn-source-research $HOME\.claude\skills\

Cursor

mkdir -p ~/.cursor/skills
cp -r cn-source-research ~/.cursor/skills/
# Windows (PowerShell):
# New-Item -ItemType Directory -Force -Path $HOME\.cursor\skills
# Copy-Item -Recurse cn-source-research $HOME\.cursor\skills\

Codex

mkdir -p ~/.codex/skills
cp -r cn-source-research ~/.codex/skills/
# Windows (PowerShell):
# New-Item -ItemType Directory -Force -Path $HOME\.codex\skills
# Copy-Item -Recurse cn-source-research $HOME\.codex\skills\

安装后在任一宿主中提出调研需求（如"梳理 2025 年中国新能源汽车充电桩监管政策"），Skill 会自动触发。

After installing, raise a research need in any host (e.g. "summarize 2025 China NEV charging-pile regulation") and the Skill triggers automatically.

Research before / after · 研究前后对比

维度 / DimensionBefore（普通 AI 调研）After（本 Skill）
来源 / Sources大段叙述，无台账 / Narrated prose, no ledgersource-ledger.csv，逐条登记含级别与失效风险
结论可信度 / Claim trust事实与推测混为一谈 / Facts and guesses mixed三级分级：已证实事实 / 合理推论 / 待验证假设
冲突 / Conflicts静默选一边 / Silently picks one side并列呈现，列入 open-questions
可验证性 / Verifiability结论无法回链 / Claims not back-linkable每条结论附出处 id、适用范围、失效风险
诚信 / Integrity可能补全无法访问的内容 / May fill in inaccessible content明确标注限制，不捏造
高风险领域 / High-risk给出似是而非的结论 / Plausible-but-unlicensed conclusions仅做证据准备，标注"不构成专业意见"
交付物 / Deliverables一篇长文 / One long essay四件套：brief + ledger + claim-map + open-questions

Sample / 样例

真实但不含敏感数据的样例见 examples/，主题为"中国新能源汽车充电基础设施政策调研"，展示四件交付物的完整格式。

注意： 样例中具体数值与链接为占位符（标记 [需核实]），仅演示格式；实际使用时须替换为经核实的真实来源。本 Skill 不在样例中捏造任何具体数据或引文。

Note: Figures and links in the sample are placeholders (marked [需核实]) demonstrating format only; replace with verified real sources in actual use. The Skill never fabricates specific data or citations in the sample.

文件清单 / Files:

  • examples/research-brief.md
  • examples/source-ledger.csv
  • examples/claim-evidence-map.md
  • examples/open-questions.md

Privacy / 隐私说明

  • 本地 Markdown 工作流优先：核心流程不调用任何外部服务，不需要 API key，不上传内容。
  • 浏览器抓取与数据库连接为可选扩展，需用户显式开启并自行承担合规责任。
  • 本 Skill 不收集、不外传任何用户内容。

EN:

  • Local Markdown workflow first: the core flow calls no external service, needs no API key, uploads nothing.
  • Browser fetching and database connections are optional extensions the user must explicitly enable and own compliance for.
  • This Skill collects and transmits no user content.

High-risk domains / 高风险领域

医疗、法律、金融、监管合规：仅做信息整理与证据准备，不替代执业医师 / 律师 / 持牌分析师 / 合规专业人士。简报顶部会加注"不构成专业意见"。

EN: Medical, legal, financial, and regulatory-compliance domains: information organization and evidence preparation only — never a substitute for licensed professionals. Briefs carry a "not professional advice" notice.

Evaluation / 评测

见 EVALUATION.md，含 20+ 用例，重点测试：来源过期、互相冲突、结论超出证据、找不到可靠来源、付费墙来源。

See EVALUATION.md for 20+ cases targeting: expired sources, conflicting sources, conclusion-exceeds-evidence, no-reliable-source, paywall sources.

References / 参考模板

  • references/中国政策与监管来源目录模板.md
  • references/行业研究问题模板.md
  • references/竞争分析框架.md
  • references/引用格式规范.md

License

MIT — see LICENSE. Copyright (c) 2026 whaojie797-design.