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 PracticalSwan/agent-skills --skill ai-writing-detectorgit clone --depth 1 https://github.com/PracticalSwan/agent-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/practicalswan/agent-skills/ai-writing-detector)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/ai-writing-detector"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/ai-writing-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/practicalswan/agent-skills/ai-writing-detector"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/ai-writing-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00044 | $0.01398 |
| Opus 5 | $0.00022 | $0.00699 |
| Sonnet 5 | $0.00009 | $0.00280 |
| Haiku 4.5 | $0.00004 | $0.00140 |
Grade A, and why
ai-writing-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 2d 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.
This is a copy
91% identical to ai-writing-detector — 54 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Writing Detector
Run a detect-only review using the original Avoid AI Writing rules. Never rewrite unless the user changes the request.
Authority
The canonical rulebook is ../avoid-ai-writing/SKILL.md. Its cautions about false positives, context, protected material, and authorship claims apply here.
For cross-Skill work, follow ../avoid-ai-writing-router/references/handoff-contract.md and the typed edges in ../avoid-ai-writing-router/references/skill-graph.json.
Connection contract
Incoming
Accept detector work from:
avoid-ai-writing-routerviaROUTEfor detect-only requests, the audit stage of a multi-stage request, or fresh signal collection after another terminal stage returns control to the router.preservation-verifiervia boundedRECHECKonly when convergence or residual auditing was part of the request.
Do not accept a direct handoff from false-positive-reviewer. That Skill is terminal in the graph and must return control to avoid-ai-writing-router when fresh signal collection is needed. This prevents a reviewer-detector cycle.
Carry forward the existing context_mode, protected constraints, pass state, and risk flags. Do not reset them.
Produce
Update the handoff envelope with:
execution_evidence.detector:executedonly if the bundled detector actually ran, otherwisemodel_only.detector_summary.scoreandlabelonly when produced by executed detector code.detector_summary.issue_typesfrom actual findings.- any
consequential_authorship_claimrisk flag observed in the user's request.
Outgoing
FEEDfindings tovoice-preserving-rewriteronly when the user also requested returned-text rewriting.FEEDfindings tofile-edit-in-placeonly when the user explicitly requested mutation of a named file.ESCALATEtofalse-positive-reviewerwhen the user asks what the findings can establish about authorship or another consequential conclusion.- Otherwise stop after the detect-only result.
What ships with it
4 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.
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.
- 2d ago Changed f490312f9099
- 4d ago First seen · 140 lines · 44 tokens per session scan A 95a29e373aa3
ai-writing-detector is a skill published in the GitHub repository PracticalSwan/agent-skills (14 stars, last pushed 2d ago), licensed MIT. It adds 44 tokens to every session and 1,398 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to ai-writing-detector, differing in 54 lines, and is treated as a copy.
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