Anti-Default reviews copy, docs, UI strings, and live pages for colonial defaults, gendered assumptions, ableist metaphors, and documented dogwhistles. It explains what it noticed and offers clearer alternatives.

No account. No AI required for matching. Open rules you can tune.

Try the web app · Add the Chrome extension · Star on GitHub

Add it in under a minute

npx anti-default .

That is the whole local setup. It prints findings and exits non-zero on clear hits. Ambiguous or quoted matches stay advisory.

To pin it in a team project:

npm install --save-dev anti-default

Want the complete project setup?

npx anti-default init

init adds an ignore file, a changed-files-only GitHub workflow, an inclusive-check package script, and a Cursor project skill. Existing files are never overwritten.

Scan the way you work

# Paths
npx anti-default ./src ./docs README.md

# CI formats
npx anti-default . --format json  -o report.json
npx anti-default . --format sarif -o results.sarif

# Batch URLs — no Review UI
npx anti-default --urls https://example.com https://example.com/about
npx anti-default --urls-file urls.txt --format json

# Only files changed in this branch
npx anti-default . --changed-from origin/main

# Keep existing findings quiet; report only new ones
npx anti-default baseline .

Ignore what doesn’t matter

Commit a .antidefaultignore so day-two noise doesn’t drown the team (example):

node_modules/
vendor/
*.min.js
rule:guys          # turn off one rule for this repo

GitHub Action

Keep inclusive language in the PR loop. This scans only changed files, fails on clear new findings, and leaves a checklist comment:

# .github/workflows/anti-default.yml
name: Anti-Default
on: [pull_request]
permissions:
  contents: read
  pull-requests: write
  security-events: write

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
      - uses: NomadBuilder/anti-default@v1
        with:
          changed-from: ${{ github.event.pull_request.base.sha }}
          format: json
          comment-on-pr: "true"

Prefer SARIF for Code Scanning? Set format: sarif and output-file: anti-default.sarif. Full inputs: action.yml.

Agent skill

npx anti-default init installs .cursor/skills/anti-default/SKILL.md in the current project. It teaches agents to run the scanner after changing public-facing language, fix only clear findings, and ask before changing quotations, proper names, community self-description, or contextual language.

The reusable source is in skills/anti-default/SKILL.md.

Use it as a library

The npm package has no runtime dependencies and exposes the same analyzer used by the CLI and web app:

import { analyzeText, LANGUAGE_RULES } from "anti-default";

const result = analyzeText("Welcome, you guys.");
console.log(result.findings);

Chrome extension

Same rules as the app — on the page you’re already looking at.

Add to Chrome →

Runs offline from a bundled rule list. No tracking. No AI calls.
Dev / unpacked: npm run extension:pack → Load unpacked → extension/ · details in extension/README.md

Web app — try, learn, tune

darkai.ca/anti-default

Review — paste, upload, or scan a URL; export Markdown, CSV, or a checklist
Swap — turn one phrase into clearer alternatives
Dogwhistles — learn what a phrase can signal and when context matters
Rules — tune the open rule catalog for your project

npm install && npm run dev   # localhost:3000

Why teams reach for it

Before publish — catch defaults in marketing, docs, and product copy
In the PR — Action + SARIF/JSON so machines and humans both get a signal
On the live page — extension for writers who never open a terminal
Without a lecture — suggestions are invitations; context always wins

Every suggestion cites the style guides and references behind it → /sources

Customize & self-host

Tune in the UI: /rules · edit code: src/lib/rules.ts
Practice corpus: npm run corpus
Static export: npm run build → out/
Subpath (DarkAI): STATIC_EXPORT=true BASE_PATH=/anti-default npm run build

Production lives at darkai.ca/anti-default and is also vendored in DarkAI.