Zero Slop — скилл против ИИ-штампов в тексте

---
name: zero-slop
license: MIT
metadata:
  version: "2.12.38"
  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)

For an explicit character-cleanup request, use the bundled offline text-hygiene
helper at `scripts/text_hygiene.py` when available. It inspects formatting
characters and removes only a
small reviewed set of embedded artifacts in 16 common ASCII prose words.
Only sentence-shaped lines with conservative prose openers are eligible.
Recognized code, command syntax, URLs, formulas, quotations and multilingual
formatting are excluded; these guards are not a complete code parser. Preserve
uncertain text and use inspection when its purpose is unclear.
This is a separate local operation, not a replacement for contextual editing.
Its change record can reverse the exact cleanup. A scriptless assistant must
not claim byte-level cleanup it did not perform. Character cleanup does not
verify removal of statistical watermarks from ChatGPT, Claude, Gemini or any
other model. Preserve required disclosures and attribution.