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Yao chatgpt crawler

Skill ShenyuanNext/wepr-growth-skills/skills/yao-chatgpt-crawler

Executable Agent Skills for PR, SEO/GEO, paid media, Xiaohongshu full-funnel operations, content, brand and global growth｜WEPR 可执行增长技能库

Install
npx -y skills add ShenyuanNext/wepr-growth-skills --skill yao-chatgpt-crawler

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  • 24 days oldThe repository was created 24 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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.

SKILL.md

1.8 KB, as published. Nobody here has run it

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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.