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yao-chatgpt-crawler

Use when a user provides ChatGPT web AI-search keywords, repeat count, target entity, entity type, OpenCLI profile, and crawl interval preference, then needs repeated crawls aggregated into JSON plus a Kami HTML GEO report. Not for generic crawling, ChatGPT API chat, SEO writing, or one-off answers.

Star
873
分类
营销与商业
许可证
MIT
最近提交
2026年10月1日

skills/yao-chatgpt-crawler/SKILL.md

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Yao ChatGPT Crawler

Inputs

Questions, repeat count, target entity/type (person/company/product), browser profile, delay preset, optional output directory, and same-type competitors.

Use random 30s-1m by default; support 1-3m and 3-10m when requested.

Workflow

  1. Read references/user-setup-and-usage.md, references/chatgpt-crawl-workflow.md, and references/report-contract.md as needed.
  2. Run node scripts/preflight.mjs --profile <profile> before fresh crawling.
  3. Stage 1: run scripts/chatgpt_batch_crawl.mjs with questions, repeat, profile, target entity/type, interval preset, and output dir.
  4. Stage 2: run scripts/analyze_chatgpt_results.py. Follow the competitor-review rules in the workflow reference; a target-only alias file never disables inference.
  5. Return crawl JSON, summary, structured Markdown/Excel, HTML report, optional semantic-review cache, and failed logs.

Honest Boundaries

  • Reuses local ChatGPT web automation; does not bypass login, bot checks, or hidden data.
  • Visible ChatGPT citations bound source analysis; probability metrics are repeated-sample estimates.
  • Inferred competitors are heuristic. Review aliases before external use; use --semantic-review required when formal-report confidence demands it.
  • The entity table is an audit surface; only rows entering the competitor matrix affect metrics.
  • Preserve raw answers, reference titles, URLs, and logs so every conclusion can be audited.

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