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ai-writing-detector

Review text for common AI writing patterns without changing it. When Node execution is available, a local detector supplies scores and matches; contextual review separates useful editorial findings from possible false positives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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.

설치 방법 보기

이럴 때 유용합니다

  • Reviewing a draft for formulaic AI phrasing
  • Checking technical prose with context in mind
  • Scanning Markdown without scoring its metadata
  • Reviewing possible false positives without changing the text

포함된 파일(4)

  • SKILL.md4.9 KB
  • agents/openai.yaml285 B
  • scripts/detect.js3.5 KB
  • scripts/patterns.js179.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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.

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같은 저장소의 스킬

Review English prose for formulaic phrases and other patterns associated with AI writing, then make targeted edits while preserving meaning and voice. Choose findings only, a rewritten version, or direct edits to a prose file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking an English draft before publication
  • Reviewing flagged phrases without changing the text
  • Editing a Markdown draft directly
conorbronsdon/avoid-ai-writing5.1천2026년 10월 20일 업데이트

Coordinate AI-style writing reviews, voice-preserving rewrites, file edits, and before-and-after checks. Route each request to the appropriate related skill, carry context between stages, and report which checks ran and whether the original meaning was preserved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Combine a writing audit, rewrite, and preservation check
  • Route an explicit request to edit a named file
  • Select a workflow when no editing mode is specified
conorbronsdon/avoid-ai-writing5.1천2026년 10월 20일 업데이트

Interpret AI-writing flags without treating them as proof of authorship. Separate tool results from editorial observations, consider plausible human explanations, and identify drafts, revision histories, or other process evidence needed for consequential academic, hiring, or publication decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Understand what AI-writing flags actually establish
  • Consider false positives in second-language or technical writing
  • Review detector evidence for academic or hiring decisions
conorbronsdon/avoid-ai-writing5.1천2026년 10월 20일 업데이트

Edit a specified local file to remove justified AI writing patterns through focused changes. It preserves voice, facts, protected content, and document structure, then rereads edits and reports file changes and verification status.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Cleaning up formulaic phrasing in a local draft
  • Editing only a specified section of a long document
  • Preserving quotes and metadata while polishing prose
conorbronsdon/avoid-ai-writing5.1천2026년 10월 20일 업데이트

Compare original and revised text to check whether protected content survived editing. It combines a bundled validator for structural checks with a separate meaning review, then reports errors, warnings, and specific repair targets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking quotes and code after a rewrite
  • Comparing links, numbers, and headings before and after editing
  • Reviewing changes to meaning, conditions, and uncertainty
conorbronsdon/avoid-ai-writing5.1천2026년 10월 20일 업데이트

Revise text to remove formulaic AI phrasing while keeping the writer’s voice, facts, intent, and structure. It targets justified changes, preserves protected passages, and reports editing limits and any unresolved issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Removing formulaic AI phrasing from a draft
  • Polishing text while keeping the writer’s voice
  • Preserving technical details during a rewrite
conorbronsdon/avoid-ai-writing5.1천2026년 10월 20일 업데이트

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