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feat(skills): add 6 due-diligence data-source skills (#111)
## Summary
Adds six enterprise due-diligence data-source skills as local built-in
skills (SKILL.md + SKILL.zh-CN.md + catalog-metadata sidecar), per
ADR-038.
| Skill | Category | Risk | Source |
|---|---|---|---|
| baidu-poi-search | data | low | Baidu Map Place API (REST) |
| tianyancha-risk | business | low | Tianyancha risk API (REST) |
| ccgp-gov-procurement | business | medium | ccgp.gov.cn (WebBridge) |
| cnipa-patent-search | business | medium | CNIPA pss-system (WebBridge)
|
| creditchina-query | business | high | creditchina.gov.cn (WebBridge +
ddddocr) |
| multi-source-sentiment | research | medium | Douyin Index/Featured +
WebSearch |
## Changes
- 6 x skills/<id>/{SKILL.md, SKILL.zh-CN.md, catalog-metadata.v1.json}
- builtin-skills.json: 34 -> 40
- manifest.json: totalSkills 63 -> 69
- README.md counts + list
## Security
- Credentials replaced with env-var placeholders (BAIDU_MAP_AK,
TIANYANCHA_TOKEN); verified no secrets in diff
## Validation
- validate-i18n.py: 0 errors (remaining warnings pre-existing repo-wide)
- zh/en heading parity verified; source_hash computed per repo algorithm
Co-authored-by: yi-ge <yi-ge@desirecore.net>
This commit is contained in:
279
skills/creditchina-query/SKILL.md
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279
skills/creditchina-query/SKILL.md
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---
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name: creditchina-query
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description: >-
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信用中国企业信用信息查询——输入企业名称,自动通过图形验证码(ddddocr 本地 OCR 100ms),返回信用信息(行政处罚/失信被执行/行政许可)。Use when 用户提到"查信用"、"信用中国"、"行政处罚"、"失信企业"、"企业信用"、"失信被执行人"、"行政许可"、"creditchina"。
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version: 1.0.0
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type: procedural
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risk_level: high
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status: enabled
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tags:
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- due-diligence
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- credit
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- creditchina
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- compliance
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metadata:
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author: desirecore
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updated_at: '2026-09-03'
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i18n:
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default_locale: en-US
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source_locale: zh-CN
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locales:
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- zh-CN
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- en-US
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zh-CN:
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name: 信用中国查询
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short_desc: 浏览器自动化 + ddddocr 本地过验证码,返回企业信用信息
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description: >-
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信用中国企业信用信息查询——输入企业名称,自动通过图形验证码(ddddocr 本地 OCR 100ms),返回信用信息(行政处罚/失信被执行/行政许可)。Use when 用户提到"查信用"、"信用中国"、"行政处罚"、"失信企业"、"企业信用"、"失信被执行人"、"行政许可"、"creditchina"。
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body: ./SKILL.zh-CN.md
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source_hash: sha256:ae28ca7a89d99438
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translated_by: human
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en-US:
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name: Credit China Query
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short_desc: Browser automation with local ddddocr captcha solving for enterprise credit records
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description: >-
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Credit China (creditchina.gov.cn) enterprise credit query — input a company name, automatically pass the graphic captcha (ddddocr local OCR, ~100 ms), and return credit records (administrative penalties / dishonest debtors / administrative licenses). Use when the user asks about enterprise credit, administrative penalties, dishonest-debtor lists, or creditchina.
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body: ./SKILL.md
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source_hash: sha256:ae28ca7a89d99438
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translated_by: human
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market:
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icon: >-
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<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"><path d="M12 4v16M8 20h8M4 8h16M6.5 8 4 13.5a3 3 0 0 0 5 0L6.5 8Zm11 0L15 13.5a3 3 0 0 0 5 0L17.5 8Z" stroke="#007AFF" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"/></svg>
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category: business
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maintainer:
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name: DesireCore Official
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verified: true
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compatible_agents: []
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channel: latest
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required_client_version: 10.0.115
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---
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# Credit China Query
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## L0: One-Sentence Summary
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Input a company name, pass the graphic captcha automatically via Kimi WebBridge plus ddddocr local OCR, and return the enterprise's credit records.
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## L1: Overview
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- **Data source**: Credit China (`creditchina.gov.cn`, guided by NDRC)
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- **Auth**: graphic captcha (solved locally by ddddocr, ~100 ms)
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- **Invocation**: Kimi WebBridge + CDP screenshot + ddddocr Python OCR
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- **Prerequisites**:
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- Kimi WebBridge daemon running
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- Python with `ddddocr` (`pip install ddddocr`)
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- Python with `Pillow` (`pip install pillow`)
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## L2: Procedure
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### 1. Navigate to the search page
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Write `C:\tmp\cc-nav.json`:
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```json
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{
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"action": "navigate",
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"args": {
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"url": "https://www.creditchina.gov.cn/xinyongxinxi/?keyword={company-name-URL-encoded}&scenesVal=default&tableName=credit_xyzx_tyshxydm",
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"newTab": true,
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"group_title": "信用中国查询"
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},
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"session": "creditchina-query"
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}
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```
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```bash
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curl.exe -s -X POST "http://127.0.0.1:10086/command" \
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-H "Content-Type: application/json" \
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--data-binary "@C:\tmp\cc-nav.json" --max-time 30
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```
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Wait 6 seconds.
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### 2. Confirm the captcha overlay
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Write `C:\tmp\cc-check.json`:
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```json
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{
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"action": "evaluate",
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"args": {
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"code": "(function(){var v=document.getElementById('vcode');var i=document.getElementById('vcodeimg');return JSON.stringify({vcode:v?v.getBoundingClientRect().width>0:false,vimg:i?i.getBoundingClientRect().width>0:false});})()"
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},
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"session": "creditchina-query"
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}
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```
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If `vcode=true` and `vimg=true`, the captcha overlay is visible — continue.
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### 3. Get the captcha image coordinates
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Write `C:\tmp\cc-coord.json`:
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```json
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{
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"action": "evaluate",
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"args": {
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"code": "(function(){var img=document.getElementById('vcodeimg');if(!img)return 'no-img';var r=img.getBoundingClientRect();return JSON.stringify({x:Math.round(r.x),y:Math.round(r.y),w:Math.round(r.width),h:Math.round(r.height),dpr:window.devicePixelRatio});})()"
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},
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"session": "creditchina-query"
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}
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```
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Record `x` / `y` / `w` / `h`.
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### 4. CDP screenshot of the captcha region
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> **Note**: the WebBridge screenshot action fails intermittently on this site (HTTP 000/400) — **always use CDP `Page.captureScreenshot` with the clip parameter**.
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Write `C:\tmp\cc-shot.json` (replace `{x}` / `{y}` / `{w}` / `{h}`):
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```json
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{
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"action": "cdp",
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"args": {
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"method": "Page.captureScreenshot",
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"params": {
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"format": "png",
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"clip": { "x": {x}, "y": {y}, "width": {w}, "height": {h}, "scale": 1 }
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}
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},
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"session": "creditchina-query"
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}
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```
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```bash
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curl.exe -s -X POST "http://127.0.0.1:10086/command" \
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-H "Content-Type: application/json" \
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--data-binary "@C:\tmp\cc-shot.json" --max-time 40 -o "C:/tmp/cc-cdp-resp.json"
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```
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Decode the base64 payload and save the image:
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```python
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import json, base64
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d = json.load(open(r'C:\tmp\cc-cdp-resp.json', encoding='utf-8'))
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b64 = d.get('data', {}).get('data', '')
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open(r'C:\tmp\cc-captcha.png', 'wb').write(base64.b64decode(b64))
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```
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### 5. ddddocr recognition (~100 ms)
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```python
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import ddddocr, sys, time
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sys.stdout.reconfigure(encoding='utf-8')
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ocr = ddddocr.DdddOcr(show_ad=False)
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t0 = time.time()
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with open(r'C:\tmp\cc-captcha.png', 'rb') as f:
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code = ocr.classification(f.read())
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print(f'验证码: {code} ({(time.time()-t0)*1000:.0f}ms)')
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open(r'C:\tmp\cc-code.txt', 'w').write(code)
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```
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### 6. Fill and submit the captcha
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Write `C:\tmp\cc-submit.json` (replace `{code}`):
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```json
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{
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"action": "evaluate",
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"args": {
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"code": "(function(){var inp=document.getElementById('vcode');if(!inp)return 'no-input';var s=Object.getOwnPropertyDescriptor(window.HTMLInputElement.prototype,'value').set;s.call(inp,'{code}');inp.dispatchEvent(new Event('input',{bubbles:true}));inp.dispatchEvent(new Event('change',{bubbles:true}));for(var el of document.querySelectorAll('button, a, input[type=button]')){if((el.innerText||el.value||'').trim()==='验证'){el.click();break;}}return 'submitted';})()"
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},
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"session": "creditchina-query"
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}
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```
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Wait 5 seconds.
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### 7. Check the verification result
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Write `C:\tmp\cc-result.json`:
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```json
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{
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"action": "evaluate",
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"args": {
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"code": "(function(){var t=document.body.innerText||'';if(t.includes('验证码错误'))return '验证码错误';if(t.includes('失效'))return '验证码已失效';return JSON.stringify({hasResult:t.includes('共')||t.includes('条'),textSample:t.slice(0,500)});})()"
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},
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"session": "creditchina-query"
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}
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```
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**Three outcomes**:
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- `"验证码错误"` / `"验证码已失效"` → retry from step 3 (click 换一张 to refresh)
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- `hasResult=true` with data → success, go to step 8
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- `textSample` contains "很抱歉,没有找到您搜索的数据" → captcha passed but the keyword has no match — retry with the full name or a short name
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### 8. Read the search results
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```json
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{
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"action": "evaluate",
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"args": {
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"code": "(function(){return document.body.innerText.slice(0,1500);})()"
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},
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"session": "creditchina-query"
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}
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```
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### 9. Normalized mapping
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```json
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{
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"query_status": "success",
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"source": "creditchina",
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"company_name": "{company name}",
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"captcha_solved": true,
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"search_result": "有结果 | 无匹配",
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"credit_info": [
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{
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"event_type": "行政处罚 | 行政许可 | 失信被执行 | 守信激励",
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"event_title": "...",
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"event_date": "...",
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"source_url": "...",
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"summary": "..."
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}
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],
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"timestamp": "2026-08-31T21:00:00+08:00"
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}
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```
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### 10. Close the session
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```json
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{
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"action": "close_session",
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"session": "creditchina-query"
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}
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```
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## Retry Strategy
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On captcha failure (wrong/expired), retry automatically up to 3 rounds:
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1. Click 换一张 to refresh the captcha via `evaluate`
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2. Wait 2 seconds for the new image
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3. Repeat steps 3-6 (screenshot → recognize → submit)
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After 3 failed rounds: ask the user to solve the captcha manually once in the browser, then resume — once verified, the browser remembers the state and subsequent queries skip the captcha.
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## Known Limitations
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- **Very short captcha TTL**: screenshot-to-submit must stay under ~15 s — **use ddddocr locally (~100 ms); cloud OCR (10-30 s round trips) always times out**
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- **CDP screenshot required**: the WebBridge screenshot action fails intermittently here; use CDP `Page.captureScreenshot` with clip
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- **Verification caching**: once passed, subsequent searches (navigating to new keyword URLs) return results without another captcha
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- **CORS**: `fetch+FileReader` or `canvas.toDataURL` cannot capture the image (cross-origin taint) — CDP screenshots only
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- **Keyword advice**: exact full names may return "no data" (the database only covers entities with credit records) — try the full name first, then the short name
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## Troubleshooting
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| Problem | Cause | Fix |
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| 412 on direct HTTP | WAF blocks non-browser calls | always go through WebBridge |
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| Captcha overlay missing | keyword param not triggered | check the keyword in the URL |
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| Empty CDP screenshot | wrong coordinates / scrolled page | re-read `vcodeimg` bounding rect |
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| ddddocr returns empty | broken image / recognition failure | refresh and retry; confirm screenshot bytes > 3000 |
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| Wrong/expired captcha | misread / timeout | refresh (up to 3 rounds); fall back to manual |
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| "没有找到您搜索的数据" | no credit records / keyword mismatch | retry with the short name |
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