Agent skill

Unslop AI Writing Cleanup

by theclaymethod in theclaymethod/unslop

Removes AI writing tells from prose through an audit-first flow, routing to a two-pass rewrite, a report-only cleanup, voice teaching or mimicry depending on the sub-command used.

MITAuto-check passedWriting & Content

Install Unslop AI Writing Cleanup

skills CLI
$ npx skills add theclaymethod/unslop --skill unslop -a claude-code

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

GitHub CLI
$ gh skill install theclaymethod/unslop unslop --agent claude-code

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

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

Facts

Skill name
unslop
GitHub stars
512
Token cost
~1.7k tokens
SKILL.md length
558 words
Files
509 (incl. scripts, references, assets)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Removes AI writing tells from prose through an audit-first flow, routing to a two-pass rewrite, a report-only cleanup, voice teaching or mimicry depending on the sub-command used.

  • Rewriting AI-generated text so it reads as human-written
  • SKILL.md covers Routing, Interface, Output Format and Reference Files, plus 1 more section
  • Flagging AI writing tells in a draft without changing any text
  • Building a personal voice profile to draft future text in that style

What it does

A shared core-contract reference file is read before every audit or rewrite and defines the single behavior contract that command files and voice presets build on without overriding. A bare request with no named sub-command defaults to rewrite, the two-pass default that diagnoses AI-sounding patterns, reconstructs the text under guardrails, and validates the result, while an explicit sub-command such as /unslop cleanup or /unslop teach is routed to that command's own reference file, which must be read before acting since it defines the flow's exact steps.

Besides rewrite, cleanup acts as a co-writer offering cheap detection with reviewable, gated suggestions, including a report-only mode that just flags AI tells without changing anything; teach builds a personal voice profile by harvesting and scoring the user's own writing samples; mimic drafts or rewrites in that learned voice under the full guard set, refining when one pass falls short; and a maintenance flow turns a newly spotted AI-ism into an eval row and a pull request rather than acting as a top-level command. Natural phrases like just flag it or review this before I publish route to the matching sub-flow even without the exact command name.

When your agent uses it

  • Rewriting AI-generated text so it reads as human-written
  • Flagging AI writing tells in a draft without changing any text
  • Building a personal voice profile to draft future text in that style

Example prompts

  • “This sounds like ChatGPT, clean it up before I publish it.”
  • “Just flag the AI tells in this draft, don't change anything.”
  • “Teach yourself my writing voice from these three posts, then draft a new one.”

What it can do on your machine

Read from SKILL.md and the folder at commit 17ed39c. 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

    Ships 1 file in scripts/, which the agent can run.

    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

Unslop AI Writing Cleanup loads about 1.7k tokens when it runs, and up to ~44k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 558 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~165
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~44k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from theclaymethod/unslop at commit 17ed39c, republished under its MIT licence (© theclaymethod). 558 words, ~1,690 tokens.

Download SKILL.mdSave it as .claude/skills/unslop/SKILL.md (or your agent's skills folder). This skill also uses 508 other files; get the full folder from GitHub.
name
unslop
description
Remove AI writing patterns from prose using either audit-only detection or a two-pass rewrite flow (diagnosis then reconstruction). Use this skill when editing, reviewing, or rewriting AI-generated content to make it sound human. Triggers on requests to "humanize", "de-slop", "fix AI text", "make it sound human", "remove AI patterns", or when reviewing text that contains obvious AI tells like "Here's the thing:", "Let that sink in", or "In today's fast-paced landscape". Also use when the user pastes text and says it "sounds like ChatGPT", "sounds robotic", "needs to sound more natural", or asks you to "clean up" drafted content before publishing.
license
MIT
user-invocable
true
argument-hint
[teach · cleanup · rewrite · mimic] [input]
metadata.author
claytonkim
metadata.version
2.3.0

Unslop

Humanize AI-generated prose. Audit first. Rewrite only when the user asks for a rewrite.

For every audit or rewrite, read references/core-contract.md. It is the single behavior contract. Command files define routing and mechanics; presets supply optional voice, but neither can override the core contract.

Routing

When the user invokes a sub-command (/unslop teach ..., /unslop cleanup ...), you MUST read references/commands/<command>.md before acting. Non-optional — the command file defines the flow, and skipping it drops steps the user expects. A bare /unslop <text> with no leading command word defaults to rewrite. If the first word does not match a command but the intent clearly maps to one (e.g. "flag the AI tells, don't change anything" → cleanup report-only), load that command file and proceed as if invoked.

CommandPurposeFile
rewriteDefault two-pass de-slop: diagnose, reconstruct under the guards, validate.references/commands/rewrite.md
cleanupCo-writer: cheap detection, reviewable suggestions with contract gates; includes report-only "flag, change nothing".references/commands/cleanup.md
teachAgent-driven voice building: harvest, approve, profile, layered card, scored demo.references/commands/teach.md
mimicVoiced drafting or rewriting under the full gates; refine loop when one pass falls short.references/commands/mimic.md
maintenanceTurn a wild AI-ism into an eval row and a PR (not a top-level verb).references/commands/contribute.md
Routing by phrase

Sub-flows are reachable by their natural names without being top-level verbs. When the user says any of these, load the named file and jump to the flow:

The user saysGo to
audit / "just flag it" / "don't change anything"references/commands/cleanup.md
review / "review this before I publish"references/commands/cleanup.md
harvest / "what writing of mine do you have?"references/commands/teach.md
calibrate / "the A/B game" / "quiz me on my voice"references/commands/teach.md
refine / "keep pushing until it sounds like me"references/commands/mimic.md
voice check / "does this sound like me?"references/commands/mimic.md
"found a new AI-ism" / "add this tell"references/commands/contribute.md
Show full SKILL.md (265 more words)Show less

Interface

ArgumentDescriptionDefault
--presetVoice style: crisp, warm, expert, storycrisp
--strictFail if rubric score < 32/40false
--reportFlag AI patterns without changing the text (cleanup)false
InputText to transform (argument, file path, or stdin)required

Read one preset from presets/ before writing.

PresetStyleBest For
crispShort, direct, no fluffTechnical writing, documentation
warmFriendly, conversationalEmails, blog posts
expertAuthoritative, confidentThought leadership, articles
storyNarrative flow, show don't tellCase studies, personal posts

Rewrite, preservation, register, and validation behavior lives only in references/core-contract.md; do not recreate or override those rules here.

Output Format

For a quick rewrite, return the cleaned text only. For audit-only (cleanup --report):

markdown
## Issues Found

- [Quoted issue, category, severity, why it reads as AI]

## Assessment

- [Which issues are clear problems]
- [Which issues are judgment calls or context-dependent]

For strict or requested analysis:

markdown
## Transformed Text

[The humanized version]

## Validation

- Constraints: [X]/[Y] preserved
- AI patterns: [N] remaining (was [M])
- Structure: [pass/fail]
- Readability: Grade [X], sentence variance [Y]
- Change: [X]% from original
- Score: [X]/40

Reference Files

FileWhen to Read
references/commands/*.mdThe routed command flows (rewrite, cleanup, teach, mimic, contribute).
references/pipeline.mdOrchestrated tiered execution for multi-agent harnesses.
references/taboo-phrases.mdAuthoritative phrase catalog and scanner categories.
references/fact-preservation.mdConstraint preservation rules.
references/rewrite-examples.mdExecutable before/after examples.
references/{mimic,harvest,calibrate}.mdVoice-tool internals loaded by their routed command.
references/{rubric,edit-library,maintenance}.mdStrict scoring, examples, and contribution procedures.
presets/*.mdVoice-specific deltas.

Maintenance

The eval contracts define the product. Add scanner examples eval-first in evals/fixtures/contracts/scanner-examples.json; use evals/adversarial-evals.json for agent behavior and routing. Do not edit legacy evals/evals.json. New patterns need a false-negative example and a false-positive protection example. Agent behavior changes need a skill row and a regenerated shared benchmark. For the concrete procedures (add a phrase or structure, list current patterns, sync with Wikipedia's signs-of-AI-writing page), read references/maintenance.md. Found a new AI-ism in the wild? references/commands/contribute.md turns the exact snippet into a contract example and a structured PR, keeping both user-confirmation gates.

© theclaymethod, MIT. 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 508 other files (scripts, references, assets) in the repository root of theclaymethod/unslop.

  • SKILL.md
  • .github/ISSUE_TEMPLATE/config.yml
  • .github/ISSUE_TEMPLATE/new-ai-ism.yml
  • .github/PULL_REQUEST_TEMPLATE.md
  • .github/workflows/evals.yml
  • .gitignore
  • AGENTS.md
  • CLAUDE.md
  • CONTRIBUTING.md
  • README.md
  • assets/examples/before-after-article.md
  • assets/examples/before-after-linkedin.md
  • assets/examples/before-after-sales.md
  • docs/DECISIONS.md
  • docs/PRODUCT.md
  • … and 494 more

Open the folder on GitHubat commit 17ed39c

Compare with similar skills

Unslop AI Writing 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.

Unslop AI Writing Cleanup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Unslop AI Writing Cleanup this skilltheclaymethod/unslop512—~1.7kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
Remove AI Patternspchalasani/claude-code-tools2k—~1.4kAutomated safety check: PassMIT
Brand Voiceaffaan-m/ECC275k3 repos~912Automated safety check: PassMIT
Writewaynesutton/markdown-site628—~3kAutomated safety check: PassMIT
Voice Profilepedrohcgs/claude-code-my-workflow1.6k—~1.6kAutomated safety check: NotesMIT

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Questions about Unslop AI Writing Cleanup

What does Unslop AI Writing Cleanup do?

Removes AI writing tells from prose through an audit-first flow, routing to a two-pass rewrite, a report-only cleanup, voice teaching or mimicry depending on the sub-command used. A shared core-contract reference file is read before every audit or rewrite and defines the single behavior contract that command files and voice presets build on without overriding. A bare request with no named sub-command defaults to rewrite, the two-pass default that diagnoses AI-sounding patterns, reconstructs the text under guardrails, and validates the result, while an explicit sub-command such as /unslop cleanup or /unslop teach is routed to that command's own reference file, which must be read before acting since it defines the flow's exact steps.

When should I use Unslop AI Writing Cleanup?

Unslop AI Writing Cleanup fits situations like: rewriting AI-generated text so it reads as human-written; flagging AI writing tells in a draft without changing any text; building a personal voice profile to draft future text in that style.

How do I install Unslop AI Writing Cleanup in Claude Code?

Run `npx skills add theclaymethod/unslop --skill unslop -a claude-code`. Or copy the skill folder (the theclaymethod/unslop repository) into .claude/skills/unslop in your project. Claude Code loads it when a task matches its description.

How do I install Unslop AI Writing Cleanup in Codex?

Run `npx skills add theclaymethod/unslop --skill unslop -a codex`. Or copy the skill folder (the theclaymethod/unslop repository) into .agents/skills/unslop in your project. Codex loads it when a task matches its description.

Can I use Unslop AI Writing 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 theclaymethod/unslop --skill unslop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/unslop, .gemini/skills/unslop, .github/skills/unslop and .opencode/skills/unslop in your project.

What does Unslop AI Writing Cleanup need to run?

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

Does Unslop AI Writing 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 Unslop AI Writing 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Unslop AI Writing Cleanup use?

Unslop AI Writing Cleanup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Unslop AI Writing Cleanup use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 42k tokens, read only when the agent opens those files.

What are the alternatives to Unslop AI Writing Cleanup?

Skills that share tags, products or a category with Unslop AI Writing Cleanup: Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), Remove AI Patterns (pchalasani/claude-code-tools, 2k stars), Brand Voice (affaan-m/ECC, 275k stars) and Write (waynesutton/markdown-site, 628 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Unslop AI Writing Cleanup?

theclaymethod (a GitHub user) maintains it in theclaymethod/unslop, which has 512 GitHub stars. The repository was last updated on September 7, 2026.

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