de-ai-skill

Purpose

This Skill detects AI-generated patterns in English academic text and rewrites flagged passages with explainable, risk-tagged results. It scans text against three pattern dimensions (vocabulary inflation, sentence overclaims, transition smoothing) from the anti-AI patterns library, presents detections grouped by risk level (High Risk / Medium Risk / Optional), and lets users batch-select which items to rewrite. Rewrites restructure expressions rather than just swapping synonyms, preserving academic meaning and quality. For file input, edits are made in-place with LaTeX comment annotations for traceability; for pasted text, results appear in conversation.

Trigger

Activates when the user asks to:

Detect, scan, or check for AI-generated patterns in academic text
Rewrite or reduce AI traces in English writing
de-AI, detect AI traces, lower AI detection score

Example invocations:

"De-AI this paragraph" / "降AI这段论文"
"Check my paper for AI patterns" / "AI检测并改写"
"Scan only -- just show detections" / "只扫描不改写"

Modes

Mode	Default	Behavior
`direct`	Yes	Full detect-then-rewrite two-phase workflow with batch selection
`batch`		Same operation across multiple files with same settings

Default mode: direct. User says "de-AI this" and gets detect + rewrite.

Mode inference: "scan only", "just check", or "只检测" triggers detect-only (skip rewrite phase). "De-AI all sections" or "batch" switches to batch.

References

Required (always loaded)

File	Purpose
`references/anti-ai-patterns.md`	Risk model, category map, retrieval contract
`references/expression-patterns.md`	Academic expression patterns for rewrite quality

Leaf Hints (loaded proactively for detection)

File	When to Load
`references/anti-ai-patterns/vocabulary.md`	Always -- loaded proactively for full-text scan
`references/anti-ai-patterns/sentence-patterns.md`	Always -- loaded proactively for full-text scan
`references/anti-ai-patterns/transitions-and-tone.md`	Always -- loaded proactively for full-text scan

Leaf Hints (loaded during rewrite phase)

File	When to Load
`references/expression-patterns/introduction-and-gap.md`	Rewriting introduction or background content
`references/expression-patterns/methods-and-data.md`	Rewriting methods or data content
`references/expression-patterns/results-and-discussion.md`	Rewriting results or discussion content
`references/expression-patterns/conclusions-and-claims.md`	Rewriting conclusion content

Loading Rules

Load ALL three anti-AI pattern leaves proactively at the start for full-text scanning.
Load expression patterns overview at the start; load section-specific leaves during rewrite phase based on detected section type.
When a target journal is specified, also load references/journals/[journal].md. If template missing, refuse with message: "Journal template for [X] not found. Available: CEUS."
If an anti-AI pattern leaf is missing, warn the user and proceed with reduced detection coverage.

Ask Strategy

Before starting, ask about:

Target journal (if not specified) -- determines style consideration during rewrite
Scope: full paper or specific section (if ambiguous)

Rules:

In direct mode, skip pre-questions when the user provides enough context.
Never ask more than 2 questions before scanning.
Use Structured Interaction when available; fall back to plain-text questions otherwise.

Workflow

Phase 1: Detect

Step 1 -- Prepare:

Load all three anti-AI pattern leaves (vocabulary, sentence-patterns, transitions-and-tone).
If target journal specified, load journal template; if missing, refuse.
Read user input (file via Read tool, or pasted text from conversation).

Step 2 -- Scan:

Scan full text against all three pattern dimensions in a single pass.
For each match, check domain term protection: if the flagged term is standard domain terminology used in context (e.g., "landscape" in a geography paper, "robust" in a statistics paper), mark as SKIPPED with reason.
For Optional-tier matches: only flag if the pattern appears 3+ times in the text. Single occurrences are suppressed to reduce noise.

Step 3 -- Present Detection Report:

Summary line: "Found N AI patterns (X High Risk / Y Medium Risk / Z Optional)" plus count of skipped domain terms.
Detailed list grouped by risk level (High first, then Medium, then Optional). Each item shows:

[#N] [HIGH RISK] Vocabulary Inflation
  Original: "This groundbreaking approach transforms the analytical framework"
  Pattern: "groundbreaking" -- promotional, exaggerated vocabulary (vocabulary.md)
  Suggestion: "This useful approach improves the analytical framework"

Step 4 -- User Selection:

Ask which items to rewrite:
- "Fix all High Risk"
- "Fix High + Medium"
- "Fix all"
- Specific items by number: "fix 1, 3, 7"

Phase 2: Rewrite

Step 1 -- Group and Rewrite:

Group selected items by paragraph. When multiple items appear in the same paragraph, rewrite them together in one pass to maintain coherence.
Load relevant expression pattern leaves based on section type for higher quality alternatives beyond the anti-AI replacement column.
Restructure expressions -- do not just swap synonyms. Preserve academic meaning and quality.
If target journal specified, consider journal style preferences during rewrite.

Step 2 -- Apply Changes:

File input: Use Edit tool for in-place modifications. Add % [De-AI] Original: <original text> LaTeX comment on the line immediately before each rewritten passage.
- Multi-line originals: each line gets its own % [De-AI] Original: prefix.
- If existing % [De-AI] Original: annotations found, clean them up before adding new ones.
Pasted text: Present rewritten version in conversation with before/after comparison for each changed passage.

Step 3 -- Rewrite Report:

Field	Content
Total rewrites	Applied N of M detected items
By category	Vocabulary inflation: count, Sentence overclaim: count, Transition smoothing: count
Skipped items	Optional below threshold, domain terms protected
Word count delta	+/- N words

Step 4 -- Summary:

If further polishing is needed, recommend: "Consider running the Polish Skill for additional refinement."

LaTeX Annotation Format

Format: % [De-AI] Original: <original text> on the line immediately before the replacement.
Multi-line originals: each line gets its own % [De-AI] Original: prefix.
Annotations are valid LaTeX comments -- the file compiles with them present.
Cleanup: after user confirms acceptance, remove all lines matching ^% \[De-AI\] Original:.
If existing % [De-AI] Original: annotations are found, clean them up before adding new ones.

Output Contract

Output	Format	Condition
Detection report	Structured markdown (summary + detailed list)	Always (Phase 1)
Rewritten text	In-place LaTeX with annotations (file) or conversation diff (pasted)	Phase 2
Rewrite report	Structured markdown table	After Phase 2
Word count delta	Integer	After Phase 2

Edge Cases

Situation	Handling
No AI patterns detected	Report "No AI patterns detected" and exit; do not proceed to rewrite
Input too short (< 3 sentences)	Warn detection may be unreliable on short text; proceed if user confirms
All detections are domain terms (all skipped)	Report "N patterns matched but all identified as domain terminology -- no rewrites needed"
Existing `% [De-AI] Original:` annotations	Clean up old annotations before running new scan
Input language is not English	Warn and suggest running Translation Skill first
Journal template missing when journal specified	Refuse: "Journal template for [X] not found. Available: CEUS."
Very long input (10+ pages)	Process in sections; maintain cross-section awareness

Fallbacks

Scenario	Fallback
Structured Interaction unavailable	Ask 1-2 plain-text questions (journal + scope)
Anti-AI pattern leaf missing	Warn user, proceed with available modules (reduced detection coverage)
Expression pattern leaf missing	Use overview entrypoint for general rewrite patterns
Target journal not specified	Ask once; if declined, use general academic style for rewrites
File is read-only or Edit fails	Present changes as a diff in conversation; user applies manually

Skill: de-ai-skill Conventions: references/skill-conventions.md