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li-human

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Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "de-slop this", "will this get flagged", or before any LinkedIn post, comment, reply or DM is shown to the user.

skills/li-human/SKILL.md

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Observed behavior
Local scripts
Last checked
Nov 9, 2026

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3,403
Repository last updated
Sep 17, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

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# li-human

Two tools live in this folder and they both actually run. Use them. Do not
eyeball this.

```bash
python3 humanize.py draft.txt --report        # clean it, show what changed
python3 detect.py draft.txt                    # score it, five checks
python3 detect.py before.txt after.txt         # prove the delta
```

Both read `slop.json`, which is the lexicon: 100+ stock words and phrases with
plain-English replacements, 17 invisible character classes, 11 typographic
substitutions, and 11 structural tells. It is meant to be edited. If the user
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