Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yaojingang/yao-geo-skills --skill yao-chatgpt-crawlergit clone --depth 1 https://github.com/yaojingang/yao-geo-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-chatgpt-crawler)<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-chatgpt-crawler"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-chatgpt-crawler/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-chatgpt-crawler"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-chatgpt-crawler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.00406 |
| Opus 5.5 | $0.00028 | $0.00162 |
| Sonnet 5.5 | $0.00014 | $0.00081 |
| Haiku 4.5 | $0.00007 | $0.00041 |
Grade A, and why
yao-chatgpt-crawler scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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
- Read
references/user-setup-and-usage.md,references/chatgpt-crawl-workflow.md, andreferences/report-contract.mdas needed. - Run
node scripts/preflight.mjs --profile <profile>before fresh crawling. - Stage 1: run
scripts/chatgpt_batch_crawl.mjswith questions, repeat, profile, target entity/type, interval preset, and output dir. - 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. - 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 requiredwhen 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.
What ships with it
25 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/interface.yaml 2.0 KB
- evals/expected_artifacts.json 1.8 KB
- evals/rubric.md 2.1 KB
- evals/trigger_cases.json 1.7 KB
- examples/doubao-model-products-real/brands-model-products.txt 593 B
- examples/doubao-model-products-real/chatgpt-crawl.json 318 KB
- examples/doubao-model-products-real/questions.txt 338 B
- examples/doubao-model-products-real/README.md 2.0 KB
- examples/doubao-model-products-real/report/report.html 145 KB
- examples/doubao-model-products-real/report/structured-data.md 90 KB
- examples/doubao-model-products-real/report/summary.json 389 KB
- fixtures/sample-chatgpt-crawl.json 7.5 KB
- manifest.json 2.5 KB
- README.md 8.9 KB
- references/chatgpt-crawl-workflow.md 6.2 KB
- references/report-contract.md 17 KB
- references/user-setup-and-usage.md 12 KB
- reports/output-risk-profile.md 1.1 KB
- scripts/analyze_chatgpt_results.py 232 KB runs code
- scripts/chatgpt_batch_crawl.mjs 23 KB runs code
- scripts/chatgpt_browser_crawl.mjs 27 KB runs code
- scripts/preflight.mjs 11 KB runs code
- scripts/test_chatgpt_batch_delay.mjs 2.6 KB runs code
- scripts/test_entity_recognition.py 19 KB runs code
- templates/brief-template.md 2.2 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 29 lines · 71 tokens per session scan A 95ba9a4fac6a
yao-chatgpt-crawler is a skill published in the GitHub repository yaojingang/yao-geo-skills (910 stars, last pushed 29d ago), licensed MIT. It adds 71 tokens to every session and 406 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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