React Doctor

SkillDev tools

Lets your agent scan React code for lint, accessibility, bundle size, and architecture issues before you commit.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the React Doctor skill

About this capability

Use when finishing a feature, fixing a bug, before committing React code, or when the user types `/doctor`, asks to scan, triage, or clean up React diagnostics. Covers lint, accessibility, bundle size, architecture. Includes a regression check and a full local-triage workflow that fetches the canoni

What this skill tells your AI

The instructions your AI receives, as published by millionco/react-doctor in skills/react-doctor/SKILL.md and read by ahel’s review.

Scans React codebases for security, performance, correctness, and architecture issues. Outputs a 0–100 health score.

After making React code changes:

Run npx react-doctor@latest --verbose --scope changed and check the score did not regress.

If the score dropped, fix the regressions before committing.

For general cleanup or code improvement:

Run npx react-doctor@latest --verbose (the default --scope full) to scan the full codebase. Fix issues by severity — errors first, then warnings.

For a focused UI design audit:

Run npx react-doctor@latest design --verbose. This selects only design-tagged UI composition, typography, interaction, accessibility, and motion rules, including focused rules that remain opt-in during a general health scan.

For runtime performance problems:

Run npx react-doctor@latest scan <url> --format json in an interactive terminal. React Doctor opens an isolated system Chrome profile, records a DevTools trace while the user reproduces the slow interaction, and flashes purple outlines with component names as React renders. It stops when they press Enter. Read the structured summary first, then inspect the returned local .json.gz trace for CPU, browser, and React component evidence.

If the user needs their authenticated browser state, use --cdp <remote-debugging-url>. This requires Chrome to already be running with remote debugging. Never ask for cookies or copy the user's browser profile. Treat the trace as sensitive local application data and never upload it without explicit permission.

/doctor — full local triage workflow

When the user types /doctor, says "run react doctor", or asks for a full triage / cleanup pass (not just a regression check), fetch the canonical local-triage playbook and follow every step in it:

curl --fail --silent --show-error \
  --header 'Cache-Control: no-cache' \
  https://www.react.doctor/prompts/react-doctor-agent.md

The playbook is the single source of truth — a scan → filter → triage → fix → validate loop that edits the working tree directly (never commits, never opens PRs). Updating the prompt at its source updates every agent on its next fetch — no skill reinstall needed.

Pair it with the matching per-rule prompts at https://www.react.doctor/prompts/rules/<plugin>/<rule>.md (fetched on demand inside the playbook) so each fix uses the canonical, reviewer-tested recipe.

Configuring or explaining rules

When the user wants to understand a rule, disagrees with one, or wants to disable / tune which rules run (not fix code), read references/explain.md and follow it. Start with npx react-doctor@latest rules explain <rule>, then apply the narrowest control via npx react-doctor@latest rules disable|set|category|ignore-tag …, which edits your doctor.config.* (or package.json#reactDoctor).

Command

npx react-doctor@latest --verbose --scope changed
FlagPurpose
.Scan current directory
--verboseShow affected files and line numbers per rule
--scope changedOnly report issues introduced vs the base branch (default: full)
--scope linesOnly report issues on the changed lines
--scoreOutput only the numeric score
designRun only the focused UI design diagnostics

Signals

GitHub stars
15k
Forks
477
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
react-doctor-millionco
Source
github.com/millionco/react-doctor