de-sloplisted
Install: claude install-skill isatimur/de-slop
# De-Slop
Turn AI-slop prose into writing that survives a hostile editor's red pen —
without swapping one kind of slop for another.
## Two hard rules (read first)
1. **Fidelity over flair.** Preserve the original meaning and claims *exactly*.
Only subtract hedging/filler and sharpen what is already there. Never inject
stance, edginess, em-dash theatrics, or first-person personality the content
did not earn. **Swapping AI-slop for edgy-slop is a failure, not a fix.**
2. **Flag hollow spans, don't fabricate.** Some prose is weak because it has no
point to make — rewording cannot save it. Flag those. Do **not** invent a hot
take to make them sound sharp.
## The loop
**0. Scope.** Work paragraph by paragraph. Skip code blocks, blockquotes,
headings, and genuine lists.
**1. Pre-flag.** Run the cheap deterministic pass to narrow attention:
```
python3 scripts/flag_slop.py <file> # or: cat text | python3 scripts/flag_slop.py
```
It returns JSON spans (hedge stems, listicle openers, em-dash density,
"in today's…", filler intensifiers, etc.). These are **candidates, not
verdicts** — you still judge every paragraph.
Optionally, `python3 scripts/flag_slop.py --score <file>` returns a per-paragraph
`slop_band`. Treat it as a **surface-tell meter, not a humanness score**: it
measures how many slop patterns appear, *not* whether a real claim is present. A
paragraph with zero tells can still be hollow and `fail` the rubric — so a high
`slop_band` never excuses yo