Agent skill

Unslop

by mshumer in mshumer/unslop

A skill your agent uses when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially…

MITAuto-check passedTesting & QA

Install Unslop

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

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

GitHub CLI
$ gh skill install mshumer/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).

Manual copy
$ git clone --depth 1 https://github.com/mshumer/unslop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/unslop .claude/skills/unslop && 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
unslop
GitHub stars
551
Token cost
~426 tokens
SKILL.md length
184 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially…

  • Works in 5 steps: Clone https://github.com/mshumer/unslop… → Enter the repo root and use a Python… → Decide whether the job is text or visual. → …
  • You need to run the unslop repo
  • SKILL.md covers Workflow, Output Review and Deliverable
  • Calls python3, pip and playwright

What it does

Unslop is an agent skill from mshumer/unslop. Use this skill when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially different from the baseline.

Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA. It works with Python and Playwright. The licence is MIT.

When your agent uses it

  • You need to run the unslop repo
  • Analyze a domain for repetitive AI defaults
  • Generate a reusable skill file
  • Verify that the output is specific and materially different from the baseline

Example prompts

  • “/unslop”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Clone https://github.com/mshumer/unslop if the repo is not already present.
  2. Enter the repo root and use a Python virtual environment.
  3. Decide whether the job is text or visual.
  4. Install Playwright only for visual runs
  5. Run the tool

What it can do on your machine

Read from SKILL.md and the folder at commit edcb623. 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

    Shell commands in SKILL.md call:

    • python3
    • pip
    • playwright

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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 loads about 426 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~426

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 mshumer/unslop at commit edcb623, republished under its MIT licence (© mshumer). 184 words, ~426 tokens.

Download SKILL.mdSave it as .claude/skills/unslop/SKILL.md (or your agent's skills folder).
name
unslop
description
Use this skill when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially different from the baseline.

unslop

Use this repo to generate a domain-specific profile that removes repetitive AI defaults.

Workflow

  1. Clone https://github.com/mshumer/unslop if the repo is not already present.
  2. Enter the repo root and use a Python virtual environment.
  3. Decide whether the job is text or visual. Text: writing, emails, essays, tutorials, copy, code explanations. Visual: websites, landing pages, HTML pages, UI mockups.
  4. Install Playwright only for visual runs: pip install playwright && playwright install chromium
  5. Run the tool: python3 unslop.py --domain "<domain>" python3 unslop.py --domain "<domain>" --type visual --count 20 --concurrency 3

Output Review

Check unslop-output/analysis.md and unslop-output/skill.md.

  • analysis.md must be concrete, counted, and specific.
  • skill.md should mostly say what to avoid, not prescribe one new stock style.
  • For visual runs, compare unslop-output/before-after/before.html and unslop-output/before-after/after.html.
  • The after result should feel meaningfully less generic than before.

If the analysis is thin or obviously missed repeated patterns, rerun or rewrite the analysis from inside unslop-output after reviewing the screenshots and sample files directly.

Deliverable

Return:

  • The generated skill.md
  • The main repeated patterns the analysis found
  • Any caveats about sample quality, missing screenshots, or weak comparison output

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

Files

Just SKILL.md in skills/unslop of mshumer/unslop.

Open the folder on GitHubat commit edcb623

Compare with similar skills

Unslop 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Unslop this skillmshumer/unslop551—~426Automated safety check: PassMIT
Web Application Testinganthropics/skills180k51 repos~966Automated safety check: PassApache-2.0
RStudio Selenium to Playwright Migrationrstudio/rstudio5.1k—~3.6kAutomated safety check: PassCustom licence
Cloud Agents Starterscalar/scalar16k—~1.4kAutomated safety check: PassMIT
Codex E2E Trace Validationliaohch3/claude-tap3.3k—~3kAutomated safety check: PassMIT
Brightdata Proxybrightdata/skills264—~5.1kAutomated safety check: PassMIT

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Categories

Questions about Unslop

What does Unslop do?

A skill your agent uses when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially…. Unslop is an agent skill from mshumer/unslop. Use this skill when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially different from the baseline.

When should I use Unslop?

Unslop fits situations like: you need to run the unslop repo; analyze a domain for repetitive AI defaults; generate a reusable skill file; verify that the output is specific and materially different from the baseline.

How do I install Unslop in Claude Code?

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

How do I install Unslop in Codex?

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

Can I use Unslop 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 mshumer/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 need to run?

Going by SKILL.md and its folder, Unslop needs the command-line tools its instructions call (python3, pip and playwright). Our summary lists: Python 3.

Does Unslop access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Unslop 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 Unslop use?

Unslop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Unslop use?

About 426 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Unslop?

Skills that share tags, products or a category with Unslop: Web Application Testing (anthropics/skills, 180k stars), RStudio Selenium to Playwright Migration (rstudio/rstudio, 5.1k stars), Cloud Agents Starter (scalar/scalar, 16k stars) and Codex E2E Trace Validation (liaohch3/claude-tap, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Unslop?

mshumer (a GitHub user) maintains it in mshumer/unslop, which has 551 GitHub stars. The repository was last updated on March 18, 2026.

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