Agent skill

Semantic Prose Cleanup

by Narcooo in Narcooo/inkos

Diagnoses generic, mechanical or AI-sounding fiction prose by its function and effect, then revises it while keeping plot facts and the author's voice.

AGPL-3.0Auto-check passedWriting & Content

Install Semantic Prose Cleanup

skills CLI
$ npx skills add Narcooo/inkos --skill inkos-story-deslop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Narcooo/inkos inkos-story-deslop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Narcooo/inkos.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/skills/inkos-story-deslop .claude/skills/inkos-story-deslop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
inkos-story-deslop
GitHub stars
10k
Token cost
~292 tokens
SKILL.md length
139 words
Files
2 (incl. references)
Skills in repo
21
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Diagnoses generic, mechanical or AI-sounding fiction prose by its function and effect, then revises it while keeping plot facts and the author's voice.

  • Revising a chapter that reads as generic or AI-written
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Auditing a draft where summary replaces actual scenes
  • Cleaning up dialogue that only carries information

What it does

The skill is for prose that feels generic, over-explained, repetitive or machine-written. Rather than counting banned words or applying global replacements, the agent reads for what each passage does. It looks for unsupported conclusions, emotion labels with no scene evidence, canned transitions, symmetrical stock phrasing, decorative detail, summary standing in for scene, and dialogue that only passes along information.

It separates real defects from legitimate voice choices, since repetition can be rhythm and short sentences can be pressure, and it preserves plot facts, viewpoint, character voice, pacing function and strong original lines. In an active book it audits first when scope is unclear and uses the reviser for authorized rewrites, never claiming a chapter was saved when it only appeared in chat. It replies in your language and loads `references/semantic-cleanup.md` for passage-level diagnosis.

When your agent uses it

  • Revising a chapter that reads as generic or AI-written
  • Auditing a draft where summary replaces actual scenes
  • Cleaning up dialogue that only carries information

Example prompts

  • “This chapter feels mechanical and over-explained, so audit it without changing the plot.”
  • “Fix the AI-sounding transitions in scene three but keep my narrator's voice.”
  • “Review the dialogue in chapter 5 and flag lines that only deliver information.”

What it can do on your machine

Read from SKILL.md and the folder at commit 8fc2ae5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Semantic Prose Cleanup loads about 292 tokens when it runs, and up to ~465 if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 139 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~292
With references · SKILL.md plus every file in references/, read only if the agent opens them
~465

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Narcooo/inkos at commit 8fc2ae5, republished under its AGPL-3.0 licence (© Narcooo). 139 words, ~292 tokens.

Download SKILL.mdSave it as .claude/skills/inkos-story-deslop/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
inkos-story-deslop
description
识别并修复空泛、模板化、总结腔和其他AI写作痕迹,同时保留作者声音。Use for semantic prose cleanup, not keyword deletion.

Semantic prose cleanup

Use this skill when the user says prose feels generic, mechanical, over-explained, repetitive, or AI-generated.

  • Diagnose by reading function and effect, not by counting banned words or applying global replacements.
  • Distinguish a real defect from a legitimate voice choice. Repetition can be rhythm; abstraction can be intentional; short sentences can be pressure.
  • Look for unsupported conclusions, emotion labels without scene evidence, generic transitions, symmetrical canned phrasing, repeated interpretation, decorative detail, summary replacing scenes, and dialogue that only transfers information.
  • In an active book, audit first when scope is unclear. Use the reviser for an authorized rewrite; do not paste a replacement chapter into chat and claim it was saved.
  • Preserve plot facts, viewpoint, character voice, evidence, pacing function, and strong original lines.
  • Respond in the user's language.

Load references/semantic-cleanup.md for a passage-level diagnosis or revision brief.

© Narcooo, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in packages/core/skills/inkos-story-deslop of Narcooo/inkos.

  • SKILL.md
  • references/semantic-cleanup.md

Open the folder on GitHubat commit 8fc2ae5

Compare with similar skills

Semantic Prose Cleanup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Semantic Prose Cleanup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Semantic Prose Cleanup this skillNarcooo/inkos10k—~292Automated safety check: PassAGPL-3.0
SepiaNanako0129/sepia3.1k—~3.6kAutomated safety check: PassMIT
Web Novel AI-Trace Removerzenstory-ai/oh-story-claudecode7.4k1 repos~2.6kAutomated safety check: PassMIT
Web Novel AI-Flavor Removeruu201/character-arc583—~2.3kAutomated safety check: PassMIT
Sun-Style Restrained Narrative WritingKKKKhazix/sun-style-writing403—~1.7kAutomated safety check: PassMIT
Web Novel Polishing and De-AIuu201/character-arc5831 repos~508Automated safety check: PassMIT

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More from Narcooo/inkos

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  • Researches the long-form fiction market with sourced evidence: platform differences, comparable works and audience expectations, to inform topic choices for a novel.

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  • Long Story Analysis

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    Breaks down a full novel or long sample into story mechanisms and style traits the agent can reuse as craft, without copying names or wording.

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  • 根据作品、平台与用户视觉要求设计或生成封面。Use for story-cover direction and confirmed cover generation.

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  • InkOS Story Import

    Narcooo/inkos

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Questions about Semantic Prose Cleanup

What does Semantic Prose Cleanup do?

Diagnoses generic, mechanical or AI-sounding fiction prose by its function and effect, then revises it while keeping plot facts and the author's voice. The skill is for prose that feels generic, over-explained, repetitive or machine-written. Rather than counting banned words or applying global replacements, the agent reads for what each passage does.

When should I use Semantic Prose Cleanup?

Semantic Prose Cleanup fits situations like: revising a chapter that reads as generic or AI-written; auditing a draft where summary replaces actual scenes; cleaning up dialogue that only carries information.

How do I install Semantic Prose Cleanup in Claude Code?

Run `npx skills add Narcooo/inkos --skill inkos-story-deslop -a claude-code`. Or copy the skill folder (packages/core/skills/inkos-story-deslop in Narcooo/inkos) into .claude/skills/inkos-story-deslop in your project. Claude Code loads it when a task matches its description.

How do I install Semantic Prose Cleanup in Codex?

Run `npx skills add Narcooo/inkos --skill inkos-story-deslop -a codex`. Or copy the skill folder (packages/core/skills/inkos-story-deslop in Narcooo/inkos) into .agents/skills/inkos-story-deslop in your project. Codex loads it when a task matches its description.

Can I use Semantic Prose Cleanup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Narcooo/inkos --skill inkos-story-deslop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inkos-story-deslop, .gemini/skills/inkos-story-deslop, .github/skills/inkos-story-deslop and .opencode/skills/inkos-story-deslop in your project.

What does Semantic Prose Cleanup need to run?

SKILL.md names no scripts, command-line tools or credentials: Semantic Prose Cleanup is instructions for the agent only.

Does Semantic Prose Cleanup access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Semantic Prose Cleanup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Semantic Prose Cleanup use?

Semantic Prose Cleanup is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Semantic Prose Cleanup use?

About 292 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 173 tokens, read only when the agent opens those files.

What are the alternatives to Semantic Prose Cleanup?

Skills that share tags, products or a category with Semantic Prose Cleanup: Sepia (Nanako0129/sepia, 3.1k stars), Web Novel AI-Trace Remover (zenstory-ai/oh-story-claudecode, 7.4k stars), Web Novel AI-Flavor Remover (uu201/character-arc, 583 stars) and Sun-Style Restrained Narrative Writing (KKKKhazix/sun-style-writing, 403 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Semantic Prose Cleanup?

Narcooo (a GitHub user) maintains it in Narcooo/inkos, which has 10,226 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 10, 2026.

Source: Narcooo/inkos on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.