Ai Writing Detection
A comprehensive reference for spotting AI-generated text, built from academic research and real-world detection patterns. Covers vocabulary fingerprints like "delve" and "tapestry," structural tells like uniform sentence length and tricolon abuse, plus model-specific artifacts (ChatGPT's turn0search markers, Grok's XML tags). The methodology is layered: scan for technical artifacts first, then analyze vocabulary clusters, structure, and citations. Includes false positive prevention guidance since non-native speakers get flagged at 61% rates. Useful when you need to verify authorship or understand how detection actually works beyond vague "it sounds robotic" intuition. Requires 200+ words and multiple signals for reliable results.
- skills.sh installs
- 354
- GitHub stars
- 48
- last updated
- Aug 21, 2026
Install
$ npx -y skills add mike-coulbourn/claude-vibes --skill ai-writing-detection --agent claude-codeInstalls into .claude/skills of the current project.
Files
A comprehensive reference for spotting AI-generated text, built from academic research and real-world detection patterns. Covers vocabulary fingerprints like "delve" and "tapestry," structural tells like uniform sentence length and tricolon abuse, plus model-specific artifacts (ChatGPT's turn0search markers, Grok's XML tags). The methodology is layered: scan for technical artifacts first, then analyze vocabulary clusters, structure, and citations. Includes false positive prevention guidance since non-native speakers get flagged at 61% rates. Useful when you need to verify authorship or understand how detection actually works beyond vague "it sounds robotic" intuition. Requires 200+ words and multiple signals for reliable results.
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- Repository
- github.com/mike-coulbourn/claude-vibes
- Categories
- Documentation, AI & Agent Building
- First seen
- Jun 3, 2026
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