Individual skill
DetectAI
Detects AI-generated writing: heuristic audit against known AI patterns, statistical signals (entropy, burstiness), an empirical Pangram score, and a keyless scan for watermark or steganography signatures (invisible characters, homoglyphs, bidi). USE WHEN detect AI writing, is this AI, AI detection, AI detector, did an AI write this, does this sound like AI, pangram, scan for AI tells, AI-isms, burstiness, is this watermarked. NOT FOR rewriting prose (a writing skill), plagiarism, judging quality.
LifeOS/install/skills/DetectAI/SKILL.md
Source commit b7efec97d8c3885feee285bee468c35602fb0606
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 19,769
- Repository last updated
- Nov 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- augmentation Repository topic
- productivity Repository topic
- humans Repository topic
- ai-harness Repository topic
- intent-engineering Repository topic
- personal-ai Repository topic
- coding Repository topic
- lifeos Repository topic
- writing Derived category
- security Derived category
Files and excerpt
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Browse files
Intents/Detect.mddoc · 3,337 bytesIntents/Score.mddoc · 4,107 bytesIntents/Watermark.mddoc · 1,844 bytesSKILL.mdcore · 5,031 bytesSetup.mddoc · 4,637 bytes
Read excerpt
# DetectAI
Answers two questions, *how much does this read as machine-generated?* and *does it carry an embedded mark?*, with four independent measures: a heuristic audit against a severity-tiered pattern catalog, which explains why each flag fired; deterministic statistical signals (`LIFEOS/TOOLS/StatSignals.ts`), each labeled with its reliability; an empirical Pangram score, which costs money and needs a key; and a keyless watermark scan for covert channels in the bytes. Detect, the statistics and Watermark are free and need no key. The measures disagree often, and the disagreement is the useful part: text can clear every pattern on the list and still score 100% AI, which means the tells are structural rather than lexical, and a watermark hit is bytes-level proof whatever the other measures say.
## Ideal State
- Every answer rests on measures that actually ran (the pattern catalog, `StatSignals.ts`, a recorded Pangram run, `WatermarkScan.ts`), and the report names which ran and which did not.
- A plain "is this AI?" with a key configured gets the heuristic audit and the Pangram score side by side, and where they disagree the report says what the gap means.
- No report treats one signal as proof of authorship: scores carry their length and baseline caveats, and a clean watermark scan is never read as "human-written".
- The text under review is reported on, never rewritten.
## Intent Routing
| Intent | Trigger | File |