Borrowing it
Nothing to install: this file belongs to lynote-ai/ai-text-detector. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lynote-ai/ai-text-detector/main/.claude/skills/ai-detector/SKILL.mdgit clone --depth 1 https://github.com/lynote-ai/ai-text-detectorWrote 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/lynote-ai/ai-text-detector/ai-detector)<a href="https://agentmods.dev/skills/lynote-ai/ai-text-detector/ai-detector"><img src="https://agentmods.dev/badge/skills/lynote-ai/ai-text-detector/ai-detector/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/lynote-ai/ai-text-detector/ai-detector"><img src="https://agentmods.dev/badge/skills/lynote-ai/ai-text-detector/ai-detector.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 | $0.00027 | $0.00288 |
| Opus 5 | $0.00014 | $0.00144 |
| Sonnet 5 | $0.00005 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
ai-detector 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 11d 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
AI Detector
Use this skill when a user asks whether a passage may be AI-generated.
Core Rules
- Never present the score as proof.
- Never accuse a named person of cheating, fraud, or misconduct.
- Ask for a longer sample when the text is under about 80 words.
- Prefer "AI-like signals are present" over "This was written by AI".
- For high-stakes contexts, recommend human review and comparison with known writing samples.
Run
From this repository:
ai-detect path/to/text.txt --json
or:
python -m aidetect.cli path/to/text.txt --json
Respond
- Give a one-sentence conclusion with uncertainty.
- Show score and confidence.
- List the strongest evidence signals.
- Include caveats.
- Suggest next steps only when useful.
Wording
Good:
- "AI-like signals are present, but this is not proof."
- "The result is uncertain because the sample is short."
- "This should be reviewed by a human and compared with known writing samples."
Avoid:
- "This was definitely written by AI."
- "The detector proves misconduct."
- Any accusation against a named person.
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.
- 11d ago First seen · 53 lines · 27 tokens per session scan A e5f184b8f0cc
ai-detector is a skill published in the GitHub repository lynote-ai/ai-text-detector (441 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 288 once invoked, about $0.0001 per session on Opus 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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