react-doctor

millionco/react-doctor · Agent Skill

Avvia React Doctor per rilevare regressioni nella sicurezza, nelle prestazioni, nella correttezza e nell'architettura, con controlli di qualità basati sui punteggi.

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Panoramica

AutoremillioncoOrganizzazione
Repositorymillionco/react-doctor ↗
Cartella dello skillreact-doctor
Stelle15.049
Fork491
File inclusi2
LicenzaMIT
Aggiornato26 ottobre 2026
LinkSorgente dello skill ↗ · Repository ↗

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Sicurezza
rischio medio · 2 punti richiedono attenzione
Compatibilità
solo istruzioni — funziona con la maggior parte degli agenti
Skill simili
62 skill simili trovati
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Installazione

Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.

Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.

Install the “react-doctor” skill from mozgi.io (https://mozgi.io/skills/millionco-react-doctor/) for me.

1. Download the archive: https://mozgi.io/skills/millionco-react-doctor/download
   If it fails, take the skill folder from the source: https://github.com/millionco/react-doctor/tree/main/skills/react-doctor
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “react-doctor” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/react-doctor/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

File dello skill

2 file Scarica ZIP

Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.

Contenuto di SKILL.md

Testo originale dell'autore · sola lettura

React Doctor

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.

Use --scope contextual --base origin/main when a team wants existing findings

in the code it is editing. Rules can select an element, function, file, or an

explicit set of related nodes. For exhaustive-deps, edits in the hook call or a

resolved local callback can surface a finding on an unchanged dependency array.

Rules without wider ownership keep changed-line filtering.

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

| Flag | Purpose |

| -------------------- | --------------------------------------------------------------------------------------- |

| . | Scan current directory |

| --verbose | Show affected files and line numbers per rule |

| --scope changed | Only report issues introduced vs the base branch (default: full) |

| --scope contextual | Report findings in modified functions, JSX elements, or files, as selected by each rule |

| --scope lines | Only report issues on the changed lines |

| --score | Output only the numeric score |

| design | Run only the focused UI design diagnostics |

Reuse a base scan

Save a complete --json scan, then pass --baseline base-report.json to report only new findings. This also works with --scope changed. Use the same version and rules for both scans. Findings are grouped by rule and file path, following Git renames. Only increases in each group's count are reported; groups without an increase skip location matching. Fingerprints, message similarity, and Git-adjusted line distance select the added findings. Formatting and edits that keep the same counts report no new findings. Saved reports must use the same textComponents, rawTextWrapperComponents, and respectInlineDisables settings. Regenerate the base report after changing these settings, or use a Git comparison. Older reports without fingerprints or sourceFilterConfigHash must be regenerated.

GitLab warning status

For GitLab CI, --warning-exit-code 123 returns 123 for non-blocking warnings. Pair it with allow_failure: { exit_codes: 123 }. Errors still return 1. Accepts integers from 2 to 255. --blocking warning still returns 1. --blocking none or --score skips this warning signal.

Domande frequenti

Che cosa fa lo skill react-doctor?

Avvia React Doctor per rilevare regressioni nella sicurezza, nelle prestazioni, nella correttezza e nell'architettura, con controlli di qualità basati sui punteggi.

Come si installa react-doctor?

Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.

Con quali modelli AI funziona react-doctor?

Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi react-doctor funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.

react-doctor è gratuito?

Lo skill è pubblicato apertamente da millionco con licenza MIT. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.

È sicuro installare gli skill?

Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.

In cosa differisce uno skill da un server MCP o da un plugin?

Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.

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