| name | unslop-file |
| description | Humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for... |
| risk | unknown |
| source | https://github.com/MohamedAbdallah-14/unslop/tree/main/plugins/unslop/skills/unslop-file |
| source_repo | MohamedAbdallah-14/unslop |
| source_type | community |
| date_added | 2026-07-01T00:00:00.000Z |
| license | MIT |
| license_source | https://github.com/MohamedAbdallah-14/unslop/blob/main/LICENSE |
Unslop Humanize
When to Use
Use this skill when you need humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for...
Purpose
Rewrite natural-language memory files (CLAUDE.md, AGENTS.md, todos, preferences, docs) so they sound human-written: no sycophancy, no stock vocab, no five-paragraph essay shape, no tricolon padding. Everything technical stays exact: code blocks, inline code, URLs, file paths, commands, headings, tables.
Two modes:
--deterministic — fast regex pass that strips canonical AI-isms and tightens tricolons. No API call, no ANTHROPIC_API_KEY needed. Best for batch processing and CI.- LLM mode (default) — calls Claude (via Anthropic SDK or
claude --print CLI fallback) to do a full rewrite that engineers burstiness, restructures performative paragraphs, and matches voice. Slower but better quality.
Humanized version overwrites the original. A FILE.original.md backup is written first. Re-run after editing the .original.md to regenerate.
Intensity levels (--mode)
| Mode | What runs | Use when… |
|---|
subtle | Stock vocab only. | Structure is fine; you just want AI vocabulary gone. |
balanced | (Default.) Sycophancy, hedging, transitions, stock vocab, authority tropes, signposting, performative balance, em-dash cap. | Everyday docs / READMEs / CLAUDE.md. |
full | Balanced + filler phrases + negative-parallelism tricolons + stronger LLM prompt. | Marketing copy, release notes, slop-heavy LLM output. |
Two-pass audit
Use the deterministic pass to get a report, then fix anything that slipped:
humanize --deterministic --report audit.json doc.md
humanize doc.md
audit.json lists every rule that fired, every before → after pair, and . Great for reviewing what the regex changed before trusting the diff to merge.
