stop-slop

The stop-slop skill provides a set of stylistic rules and a scoring rubric to identify and remove predictable AI writing patterns from prose.

6.2K
Installs
3
Use cases
5/10
Quality

Is stop-slop safe to install?

Safe to install

Safe to install: our audit of stop-slop's source files found 0 shell commands, 0 external URLs, no file writes (none risk). Every command and URL listed appears verbatim in the skill's source. The skill consists of static text guidelines and a scoring rubric. It does not execute code or perform network requests.

How we audit skills: our security review methodology.

Who is this skill for?

Writers, editors, and content reviewers who want to eliminate AI-generated stylistic markers from their drafts.

What can you do with it?

  • Drafting prose
  • Editing text drafts
  • Reviewing content for AI-specific writing patterns

How good is this skill?

Quality score: 5/10. The skill provides clear, actionable instructions for prose refinement. It lacks automated execution capabilities, functioning as a manual checklist.

What does the skill file contain?

SKILL.md
# Stop Slop

Eliminate predictable AI writing patterns from prose.

## Core Rules

1. **Cut filler phrases.** Remove throat-clearing openers, emphasis crutches, and all adverbs. See [references/phrases.md](references/phrases.md).

2. **Break formulaic structures.** Avoid binary contrasts, negative listings, dramatic fragmentation, rhetorical setups, false agency. See [references/structures.md](references/structures.md).

3. **Use active voice.** Every sentence needs a human subject doing something. No passive constructions. No inanimate objects performing human actions ("the complaint becomes ...

Frequently asked questions

What specific writing patterns does this skill target?

The skill targets filler phrases, binary contrasts, passive voice, inanimate objects performing human actions, vague declaratives, and meta-joiners.

How does the skill measure the quality of the prose?

The skill uses a scoring rubric across five dimensions: Directness, Rhythm, Trust, Authenticity, and Density, with a threshold of 35/50 for revision.

Data sourced from hardikpandya/stop-slop on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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