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cue-credit-diligence

用 Cue 跑「信贷尽调」场景的深度研究:多源公开数据交叉、结论带来源。 Run Cue deep research for the "Credit Diligence" scenario.

Skill by sensedeal

IndexedMIT★ 6
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sensedeal-cue-credit-diligence

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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用 Cue 跑「信贷尽调」场景的深度研究:多源公开数据交叉、结论带来源。 Run Cue deep research for the "Credit Diligence" scenario. 触发 Triggers: 信贷尽调、企业尽调、信披与监管 / credit diligence, pre-lending due diligence, credit risk

Use cases: research

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/cue-credit-diligence

What's inside

Skill name
cue-credit-diligence
Description
用 Cue 跑「信贷尽调」场景的深度研究:多源公开数据交叉、结论带来源。 Run Cue deep research for the "Credit Diligence" scenario. 触发 Triggers: 信贷尽调、企业尽调、信披与监管 / credit diligence, pre-lending due diligence, credit risk
License
MIT
Metadata
scene: 信贷尽调 · source: cuecue.cn/playbook · generated_from: /api/playbook
Instructions
42 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Cue「信贷尽调」研究 skill

加载本 skill 后,你可以用 Cue 跑这个场景的深度研究(多源公开数据交叉、结论带来源链接)。

## 何时用
信贷尽调:企业尽调、信披与监管、财务与业绩。

## 当前可用搭子(仅供理解;运行时以 live 为准)
  - 对公授信预尽调:多源穿透授信企业的主体真实性、股权关联、经营持续性与合规风险,自动补全公开披露盲区,产出可上初审会、带证据链的预尽调底稿
  - 企业全景画像:一键穿透企业的工商、股权、财务与经营全维基本面,评估业务模式与合作适配性、挖掘供应链金融与产业债机会,产出可用于内部决策
  - 产业集团战略全景分析:拆解巨头黑箱。穿透分析大型集团(如比亚迪、华为)的全产业链版图与全球政策风险,输出战略仪表盘,为跨国对标或深度尽调提供一
  - 潜在高净值客群挖掘:锁定“潜在有钱人”。精准提取区域内上市公司的股权激励和战略配售人员名单,核算其潜在资产规模,助你抢占大宗交易与高端理财商
  - 企业财务尽调助手:针对非上市主体公开财务数据缺失,做合规校验、缺口补全与异动穿透,识别潜在错报与业务风险,产出可用于风控汇报的财务分析底稿
  - 预尽调企业初筛:仅需一个企业名称,自动穿透股权链、实控人关系网、上下游关键决策人及合规红线,输出客户经理可直接带出去见客的预尽调初筛底稿

## 准备 Cue runner(首次用时,幂等)
本 skill 不自带脚本,靠 Cue 开源 runner 跑研究。先确认 runner 是否就绪:
- 若你已安装 `cue-skills`(或本 skill 来自整包发布)→ 直接用其中的 `cue-research/scripts/research_run.py`,**跳过本节**。
- 否则克隆开源仓(拿到自包含的 cue-research runner;整仓克隆最省事),**有则更新、无则克隆**(GitHub 不通走镜像):
  ```bash
  if [ -d ~/.cue/cue-skills/.git ]; then
    git -C ~/.cue/cue-skills pull --ff-only
  else
    git clone https://github.com/sensedeal/cue-skills ~/.cue/cue-skills \
      || git clone https://gitee.com/sensedeal/cue-skills ~/.cue/cue-skills
  fi
  ```
  之后 runner = `~/.cue/cue-skills/cue-research/scripts/research_run.py`。需 `git` + `python3`(runner 仅用标准库)。

## 怎么跑(搭子是动态的,运行时查 live)
1. **拉本场景当前搭子**:`GET https://cuecue.cn/api/playbook`,找 `secondary_category == "信贷尽调"` 的 scene,读 `buddies[]`(每个有 `template_id`/`title`/`goal`)。若该场景当前不在返回里(临时未达展示门槛)→ 告知用户暂不可用。
2. **选一个搭子**:**委托 cue-research 的匹配逻辑**(其 `+match`/Stage-2:对 `goal` 做语义匹配、把用户的具体主体从匹配中剥离、弱命中先列 ≤2 候选确认)——不要只按字面 title 关键词裸选。取选中搭子的 `template_id`。
3. **确认 credits(强制)**:跑深度研究消耗 credits。运行前显式问用户「将用搭子 X 跑【主体】,耗 credits,是否继续?」并等确认。
4. **跑**:`python3 ~/.cue/cue-skills/cue-research/scripts/research_run.py --query "<用户主体/问题>" --template-id <template_id>`(用上一节就绪的 runner 路径;已装 cue-skills 则用你本地的 `cue-research/scripts/research_run.py`)。深度研究 3–15 分钟;长跑 live 流常不带报告段,用 replay 取最终报告。 读 runner 末行 `RESULT ok|empty`:`empty` → 告知用户本次未取到内容、可换主体/搭子重试,**不要编造**。
5. **回报**:把带来源链接的报告交给用户,不去掉来源、不杜撰。

## 前置
- Cue 账号 API key(cue CLI 登录后在 `~/.cue/config.json`,runner 自动读);新账号赠送积分(注册 500 + 每天 10),可先用赠送额度试。
- `git` + `python3`(自举 runner 用;runner 仅标准库)。
- 跑深度研究**消耗 credits**;只覆盖公开数据,不替代尽调/法律/核保。

From sensedeal/cue-skills, MIT.

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Last commit (this folder)
Sep 11, 2026 (1 month ago)
Last release
Oct 9, 2026 (18 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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cue-credit-diligence skill. Agent Mart. https://agentmart.dev/skills/sensedeal-cue-credit-diligence (last updated 2026-10-24)