Slopmonster logo

Slopmonster

Community
ItsssssJack
slopmonster

Review writing for its intended reader, check common AI writing patterns, revise, request a second pass from a different model family, and check again. Trigger on /slopmonster, "humanize this", "de-slop this", "does this sound like AI", "fix this copy".

Overview

PublisherItsssssJack
RepositorySlopMonster
Skill nameslopmonster
Stars
888
Forks
90
Bundled files
17
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 17 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ItsssssJack on GitHub. Read the source before you install it.

Installation

Install the Slopmonster AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ItsssssJack/SlopMonster/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ItsssssJack/SlopMonster.git \
  .claude/skills/slopmonster
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Slopmonster in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Slopmonster on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Slopmonster is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SlopMonster

Edit the supplied draft for its audience and purpose. The workflow supports READMEs, landing pages, emails and scripts. Use the checker to locate known patterns, then review the writing in context. A score of 5/5 means no scored patterns matched; it does not establish that the copy is clear or accurate.

Step 1: Establish the context and run the checker

Identify the reader, the format and what the reader needs from the text. Use the user's brief and the draft itself. Ask a focused question only when missing context would materially change the edit.

A README should explain what the project does, how to use it and its limitations. A sales page may need an opening that establishes a problem. An email may need to start with the request. Choose an approach that fits the document.

bash
python3 tools/deslop.py draft.md
python3 tools/deslop.py page.html
python3 tools/deslop.py page.html --view view-site
python3 tools/deslop.py --text "paste a draft"

The checker scores five categories: vocabulary, sentence patterns, punctuation, three-item lists and possible unsupported proof. Each category with a match costs one point. Below 5/5 it exits with status 1. Empty input also fails.

For Markdown, use the file path so code and quoted specimens are handled as Markdown. The rules are English only and do not detect the input language.

Step 2: Review and rewrite

Read references/principles.md for the editorial checks and references/signs-of-ai-writing.md for the pattern catalogue.

Work through the draft in this order:

  1. Purpose and structure. Answer the reader's first question early. Remove duplicate hooks and curiosity gaps that delay an explanation. Keep each paragraph focused on a useful point, with enough context to understand it.
  2. Meaning and evidence. Check that each sentence adds information and follows from what came before. Explain conditions on claims. Remove empty contrasts, repeated metaphors and comparisons that do not help the reader. Preserve facts, technical behavior and the author's position.
  3. Wording and rhythm. Review the checker findings and replace vague language with direct wording. Read adjacent sentences together for repetitive shapes. Let sentence length follow the thought. Keep useful lists and punctuation.

Do not manufacture personality by adding an opinion, a mistake, a fragment or a fixed quota of short sentences. Do not add a number to every claim. Use only facts supplied by the author or verified from an appropriate source.

The checker can flag valid language. Review the actual match before editing it. Never hide ordinary prose in code formatting to raise the score. If a necessary phrase still triggers a rule, explain the remaining finding to the user.

Step 3: Request a second editing pass

Use a different model family from the one that wrote the draft. This provides a second review with the same audience and purpose; inspect its suggestions before accepting them.

Draft written withCommand
ClaudeDESLOP_WRITER=claude tools/cleanse.sh draft.md > cleansed.md
GPT / Codex / ChatGPTDESLOP_WRITER=gpt tools/cleanse.sh draft.md > cleansed.md
GeminiUse either command to select an installed rival CLI.

The script uses the selected CLI's configured model and prompts/cleanse.txt. The CLI must be installed and authenticated. If it is unavailable, use the prompt and draft in the other model family's chat. If a second model cannot be accessed, report that the pass was not completed and continue the editorial review and local checks.

Standard output contains the edited copy. Standard error contains change notes. To keep both:

bash
DESLOP_WRITER=gpt tools/cleanse.sh draft.md > cleansed.md 2> notes.txt

Check the command's exit status. A timeout returns 124. A missing rival CLI returns 127 and prints the prompt and input as standard output; that output is not an edited draft. Other CLI failures also need to be resolved before using the file.

The model separates its notes with <<<SLOPMONSTER-NOTES>>>. A warning about a missing marker means notes may have been included in the copy. Inspect the result.

Step 4: Compare the edit and check again

Compare the result with the source. Check facts and commands for changes, confirm that links and placeholders survived, and read the opening in context. Review the notes for deletions that may have removed necessary information.

bash
python3 tools/deslop.py cleansed.md

Aim to resolve the checker findings while preserving the intended meaning. Report any justified exceptions. The final editorial review is required even at 5/5.

If you change a regex, run python3 tools/test_deslop.py. If you change the cleanse script, run bash tools/test_cleanse.sh.

Factual claims

Never invent evidence. This includes customer counts, testimonials, ratings and results. If the draft needs missing information, flag it for the author with a placeholder such as [needs number]. Do not publish an unresolved placeholder as a verified claim.

The proof rule only sees number-and-noun patterns. It cannot verify whether a claim is true. Use --allow-proof only after checking the evidence; the option retains the warning while removing its score penalty.

Output

Return the rewritten copy or save the edited artifact as requested. Then give up to five short notes explaining substantive changes and the check results. State whether the second model pass completed. Keep any unresolved claims or remaining checker findings visible. Do not claim the edit proves human authorship.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Slopmonster AI skill do?

Review writing for its intended reader, check common AI writing patterns, revise, request a second pass from a different model family, and check again. Trigger on /slopmonster, "humanize this", "de-slop this", "does this sound like AI", "fix this copy".

Why use Slopmonster on TypingMind?

Because you install it once and use it with any model. Slopmonster is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Slopmonster in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ItsssssJack/SlopMonster/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Slopmonster?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Slopmonster?

As many as you like. As long as a model supports skills, you can use Slopmonster with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Slopmonster AI skill free?

Yes. It is published on GitHub by ItsssssJack under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇