# zero-slop

Cleans AI-generated phrasing from drafts and removes hollow filler without inventing facts.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 149
- Author: manavmishra
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/manavmishra/ZeroSlop/tree/HEAD/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/zero-slop

## What it does

Zero Slop acts as an editorial linter inside your AI assistant. It executes an eight-part pipeline to dismantle post-training register tells. Your active model reads the draft and edits the copy. Local scripts measure formulaic phrases and monotonous rhythm. The draft stays private.

Deletion comes before rewriting. Meaningless sentences get removed completely rather than restyled with milder adjectives. The skill strictly forbids inventing figures or ungrounded claims. If a passage already sounds natural, Zero Slop leaves it untouched.

Offline runs protect your data. The skill keeps all text local to your current assistant session. Conversely, the npm `zero-slop deslop` command and hosted MCP endpoints send drafts to remote servers. A clean reading score does not complete the review: the assistant must still run a manual pass over the text register.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add manavmishra/ZeroSlop --skill zero-slop -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/zero-slop/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/zero-slop/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add manavmishra/ZeroSlop --skill zero-slop -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/zero-slop/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add manavmishra/ZeroSlop --skill zero-slop -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/zero-slop/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install manavmishra/ZeroSlop zero-slop
```

2. **Manually: put the files in place**
- File: `.github/skills/zero-slop/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add manavmishra/ZeroSlop --skill zero-slop -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/manavmishra/ZeroSlop
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/zero-slop/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add manavmishra/ZeroSlop --skill zero-slop -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/manavmishra/ZeroSlop/tree/HEAD/SKILL.md

## When to use it
- remove repetitive AI phrasing from draft articles
- cut empty filler sentences instead of rewriting them
- simulate audience reactions across specific passages
- preserve source facts and caveats during heavy edits

## Example prompts
- Review draft.md with zero-slop to strip machine phrasing
- Check this release announcement for repetitive rhythm without altering facts
- Run zero-slop on my social post and flag hollow sentences

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 37b34ca6610c795c.

BEGIN THIRD-PARTY FILE 37b34ca6610c795c
```text
---
name: zero-slop
license: MIT
metadata:
  version: "2.12.28"
  author: manavmishra
description: Edit drafts into natural prose, inspect AI-sounding patterns, or review how a specified audience might respond passage by passage. Zero Slop runs inside the user's existing AI assistant with local tools that protect source details. Use for humanizing or de-slopping writing, polishing outward-facing prose, social drafts, final editorial checks, or an explicit simulated reader review. Preserve facts, voice and format; reader simulations are hypotheses, not human feedback.
---

# Zero Slop

A linter for the AI accent. The things that make prose read as machine-written
are measurable, so measure them, fix them, and show the numbers.

Zero Slop is a skill, not an AI model. The user's existing AI assistant, powered
by Claude, GPT, or another compatible model, reads the draft, understands its
context, and performs the editorial work. The bundled local tools handle
repeatable checks. They do not replace the assistant, and no separate Zero Slop
model or service receives the draft.

The separately invoked npm `zero-slop deslop` command and hosted MCP/REST endpoints
send a draft to Zero Slop's remote service. They are opt-in alternatives, not local
checks in this workflow. Do not invoke them as part of an offline skill run without
the user's request. The npm `score` command continues to run locally.

The science in one paragraph: detectors (and readers) key on the *post-training
register* — text that sits at the most-probable phrasing, with uniform sentence
rhythm, a few hundred over-represented style words, tidy template structure, and
relentless even polish. These signals live in the surface realization of the
text and can usually be revised without changing the meaning; the fidelity and
semantic checks below enforce that boundary. `references/evidence.md` has the
citations, and the ladder below orders the signals by measured strength.

## Hard rules (non-negotiable)

1. **Fidelity.** Meaning, claims, and facts survive exactly. Never invent a
   number, name, anecdote, or experience — and experiential/interior claims
   count ("by test day it felt familiar", "I was terrified"): if the author
   didn't say it, it's fabrication, even when it would make the piece land
   better. Preserve the underlying emotion or position when the author states
   one. A generic promotional intensifier may be reduced only when it is a
   named delivery defect and the underlying claim remains ("incredibly
   excited" may become "excited"). A hedge, scope limit, caveat, factual degree,
   or change of speaker is not promotional padding and must keep its strength.
   Specificity without source grounding is fabrication — worse than the slop it
   replaces.
2. **Flag hollow spans, don't fill them.** Prose that makes no claim cannot be
   rescued by rewording. Flag it and ask for the missing substance.
3. **No over-correction.** Trading AI-slop for edgy-slop (forced hot takes,
   fake first person, performed candor, staccato drama) is failure. Read
   `references/overcorrection.md` before heavy rewrites.
```
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