Detect AI/LLM-generated text patterns in research writing. Use when: (1) Reviewing manuscript drafts before submission, (2) Pre-commit validation of documentation, (3) Quality assurance checks on research artifacts, (4) Ensuring natural academic writing style, (5) Tracking writing authenticity over time. Analyzes grammar perfection, sentence uniformity, paragraph structure, word frequency (AI-typical words like 'delve', 'leverage', 'robust'), punctuation patterns, and transition word overuse.
View on GitHubastoreyai/ai_scientist
research-assistant
January 20, 2026
Select agents to install to:
npx add-skill https://github.com/astoreyai/ai_scientist/blob/main/skills/ai-check/SKILL.md -a claude-code --skill ai-checkInstallation paths:
.claude/skills/ai-check/# AI-Generated Text Detection Skill ## Purpose Detect patterns typical of LLM-generated text to ensure natural, human-authored academic writing. This skill helps maintain authenticity in research publications, dissertations, and documentation. ## When to Use This Skill ### Primary Use Cases 1. **Pre-Commit Validation** - Automatically check manuscripts and documentation before git commits 2. **Manuscript Review** - Validate academic writing before submission to journals or committees 3. **Quality Assurance** - Part of systematic QA workflow for research artifacts 4. **On-Demand Analysis** - Manual review of any text file for AI patterns 5. **Writing Evolution Tracking** - Monitor writing style changes over time ### Specific Scenarios - Before submitting dissertation chapters to advisor - Prior to journal article submission - When reviewing team member contributions - After making significant edits to documentation - When suspicious patterns are noticed in writing - During peer review or committee review preparation ## Detection Methodology ### 1. Grammar Pattern Analysis **What We Check:** - **Excessive Perfection**: Zero typos, missing commas, or minor errors throughout - **Comma Placement**: Perfect comma usage in all complex sentences - **Formal Register**: Consistent formal tone with no informal elements - **Grammar Consistency**: No variations in grammatical choices **Red Flags:** - Absolutely no grammatical errors in 10+ pages - Every semicolon and colon used perfectly - No sentence fragments or run-ons even in appropriate contexts - Overly formal language even in methods sections **Human Writing Typically Has:** - Occasional minor typos or comma splices - Some inconsistency in formality - Natural variations in grammar choices - Context-appropriate informality ### 2. Sentence Structure Uniformity **What We Check:** - **Sentence Length Distribution**: Variation in sentence lengths - **Structural Patterns**: Repetitive sentence structures - **Compl