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/ai-writing-detector

Use when the user asks to detect, scan, audit, score, or flag AI-writing patterns without rewriting the text, including requests for a deterministic local detector result when the host can execute Node.

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avoid-ai-writing
5.6k7 skills

Claude Code

$ npx -y skills add conorbronsdon/avoid-ai-writing --skill ai-writing-detector --agent claude-code

SKILL.md

ai-writing-detector.SKILL.md
name: ai-writing-detector
version: 3.38.0
license: MIT
description: Use when the user asks to detect, scan, audit, score, or flag AI-writing patterns without rewriting the text, including requests for a deterministic local detector result when the host can execute Node.

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-router` via `ROUTE` for 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-verifier` via bounded `RECHECK` only 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 canonical `context_profile` separately from the detector's `context_mode`, along with protected constraints, pass state, and risk flags. Do not collapse or reset them.

Produce

Update the handoff envelope with:

  • `execution_evidence.detector`: `executed` only if the bundled detector actually ran, otherwise `model_only`.
  • `detector_summary.score` and `label` only when produced by executed detector code.
  • `detector_summary.issue_types` from actual findings.
  • any `consequential_authorship_claim` risk flag observed in the user's request.

Outgoing

  • `FEED` findings to `voice-preserving-rewriter` only when the user also requested returned-text rewriting.
  • `FEED` findings to `file-edit-in-place` only when the user explicitly requested mutation of a named file.
  • `ESCALATE` to `false-positive-reviewer` when the user asks what the findings can establish about authorship or another consequential conclusion.
  • Otherwise stop after the detect-only result.

Deterministic hits are candidate matches. Keep the engine's public issue types and scores intact, then apply the canonical context exceptions and pass conditions when deciding which hits are justified editorial findings. Neither kind of result is a mandatory edit instruction or authorizes a mutation.

AI-engineering evidence lens

Apply the `agency-ai-engineer` lens encoded in `../avoid-ai-writing-router/references/agency-role-lenses.md`:

  • keep deterministic output separate from model-only observations,
  • preserve the selected context profile and detector mode through downstream handoffs,
  • treat score and label as signals rather than ground truth,
  • consider false positives and genre/register effects,
  • never convert pattern detection into an authorship classifier claim.

Preferred path

When the current host can execute Node safely:

1. Pass the supplied text to `scripts/detect.js`. 2. Use `--context technical` for code-adjacent or technical prose when appropriate. Otherwise use `general`. 3. Use `--source-mode rendered-markdown` for Markdown that carries YAML frontmatter or HTML comments, so unedited metadata is not scored as the author's prose. Otherwise leave the default `plain`. 4. Report the detector's score, label, issue types, severity, matched text, and suggestions. 5. Separate deterministic candidate matches from justified editorial findings and observations that only exist in the full rulebook. 6. Never claim execution unless the command actually ran.

Example:

printf '%s' "$TEXT" | node scripts/detect.js --context general

For a file:

node scripts/detect.js --file path/to/draft.md --context general

For Markdown with frontmatter or HTML comments:

node scripts/detect.js --file path/to/draft.md --source-mode rendered-markdown

If Node or shell execution is unavailable, perform the detect-only workflow from the canonical `avoid-ai-writing` Skill and explicitly say the deterministic detector was not run.

Stop conditions

Stop here when the request is detect-only. Do not continue into rewrite, file mutation, or interpretation merely because those Skills are available.

A residual `RECHECK` may run once when requested. It is read-only and does not consume an editing pass; any change it prompts must fit within the requested editing-pass limit, capped at two, and the graph's loop policy.

Output

Return the overall label and score when executed, detected candidate matches grouped by severity, a short contextual assessment that distinguishes justified findings from plausible false positives, execution status, and no rewritten version unless control has explicitly passed to a rewrite owner.

Read more
@conorbronsdon
Ships withavoid-ai-writing

Audit & rewrite content to remove AI writing patterns. A practical skill for any AI agent. Supports detect-only and edit-in-place modes, plus voice profiles.

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Questions about ai-writing-detector.

Which coding agents can use ai-writing-detector?
ai-writing-detector installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.