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 techhorizonlabs/thl-open --skill found-by-aigit clone --depth 1 https://github.com/techhorizonlabs/thl-openWrote 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/techhorizonlabs/thl-open/found-by-ai)<a href="https://agentmods.dev/skills/techhorizonlabs/thl-open/found-by-ai"><img src="https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/found-by-ai/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/techhorizonlabs/thl-open/found-by-ai"><img src="https://agentmods.dev/badge/skills/techhorizonlabs/thl-open/found-by-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 6 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00067 | $0.01403 |
| Opus 5.5 | $0.00027 | $0.00561 |
| Sonnet 5.5 | $0.00013 | $0.00281 |
| Haiku 4.5 | $0.00007 | $0.00140 |
Grade A, and why
found-by-ai 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 16d 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Are you found by AI?
Use this skill when a user asks whether a business shows up in AI answers, who ChatGPT or Gemini recommend instead of them, or how to improve AI visibility (GEO). Every number this skill returns is measured from live engine answers at request time; nothing is estimated.
Free scan, no auth
POST https://areyoufoundbyai.com/api/scan
Content-Type: application/json
{"url": "https://example.com"}
Takes about 60 seconds because the engines are asked live. Rate-limited per IP, and capped at 15 free scans per browser per day. The free scan asks two buyer questions on two engines (ChatGPT and Gemini). Pro asks up to 25 buyer questions across seven engines (ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek and Google AI Overviews) on the schedule the customer chooses (weekly, monthly or whenever they like). It is US$79 a month for 14,000 tokens, shared across every site on the account, and a check of 25 buyer questions plus a fresh site read uses 3,150 tokens. Pricing: https://areyoufoundbyai.com/pricing. Available answers depend on the completed measurement.
The response includes: visibility (an older weighted diagnostic score out of 100), readiness (AI Readiness, out of 100), footprintScore (the separate off-site Footprint score, or null when not measured), verdict (present | weak | absent), queries (the buyer questions asked), competitors (who the engines named instead), agentReadiness (level 0-5), fixes (prioritised, plain language) and report, a shareable human-readable URL. Always give the user the report URL.
How to read the result
The public headline measure is the named share: countable saved answers that name the business, divided by all countable saved answers. Every saved repetition counts. A link to the website on its own is not the business being named. Missing or incomplete evidence is left out, not counted as a no. Report the questions, engines, date and answer count beside the percentage, and say that a free scan is a small sample.
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.
- 16d ago Changed · +21 lines 22c113d08b9b
- 24d ago Changed 1acc87663dad
- 1mo ago First seen · 43 lines · 67 tokens per session scan A f0be9b3ef5b7
found-by-ai is a skill published in the GitHub repository techhorizonlabs/thl-open (18 stars, last pushed 16d ago), licensed MIT. It adds 67 tokens to every session and 1,403 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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