whaojie797-design/cn-source-research
whaojie797-design★ 1最后同步: 2026-07-30
Verifiable Chinese research evidence pack: official & primary sources first, facts/inferences/unknowns separated. 中文可信研究 Skill
README 摘要
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 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; an…
在 GitHub 查看完整 README →分类
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