← ClaudeAtlas

li-humanlisted

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.
robbiehaynes/job-search · ★ 0 · Data & Documents · score 62
Install: claude install-skill robbiehaynes/job-search
# 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 has a word they always use that the lexicon strips, remove it from the file. ## What gets fixed automatically **1. Invisible characters.** Zero-width spaces and joiners, word joiners, soft hyphens, byte-order marks, Unicode tag characters, non-breaking and narrow spaces. A keyboard does not produce these. They survive copy-paste, they are invisible in every editor, and they are the single most mechanical thing in generated text. `humanize.py` deletes every one, including any remaining Unicode format character it does not have a name for. **2. Typography.** Em dash to comma, en dash to hyphen, curly quotes to straight, ellipsis to three dots, bullet character to hyphen. The em dash pass is the one that matters: it collapses ` — ` to `, ` and then cleans up the double punctuation that leaves behind. **3. The slop lexicon.** delve, leverage, robust, seamless, crucial, tapestry, testament to, moreover, "in today's fast-paced wo