hardikpandya/stop-slop resource
A skill file for removing AI tells from prose observed · 2026-08-28
Health v2 · maintenance only
48/100
- Activity 72
- Release rhythm 35
- Longevity 16
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 234
- days_rel: n/a
- days_push: 169
- n_releases_24m: 0
Adoption not part of the score
16437 stars · 1174 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A skill file (SKILL.md plus reference documents) that teaches Claude or any LLM to detect and remove AI writing patterns from prose. It includes banned phrase lists, structural cliché rules, sentence-level rules, and a scoring rubric for revision.
Use cases
- remove AI tells from my writing
- make LLM-generated text sound more human
- set up a Claude skill for editing prose
- check if my article reads like AI slop
- add style rules to my system prompt for writing tasks
- score and revise text for directness and rhythm
When to choose
- you use Claude Code, Claude Projects, or the Claude API and want AI-sounding prose cleaned up
- you want a ready-made prompt/skill for editing AI-generated writing
- you need a concrete checklist of AI writing patterns and a scoring rubric
When to avoid
- you need a standalone text-processing tool or library with programmatic APIs
- you want automated grammar or spell checking
- you don't use LLMs and need deterministic style linting
Facets
learning-resource · maturity active
nlp prompt-engineering llm-inference large-language-models developer-tools tutorials cross-platform skill-file ai-writing prose-editing claude writing-style prompting natural-language-processing
1 source
- readme: https://github.com/hardikpandya/stop-slop · fetched 2026-08-28 · d5c699e712e6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hardikpandya/stop-slop | main | 48 |
For agents
markdown · JSON · MCP: product_card(name="hardikpandya/stop-slop")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem