Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add louisbrulenaudet/monorepo-template --skill react-doctorgit clone --depth 1 https://github.com/louisbrulenaudet/monorepo-templateWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/louisbrulenaudet/monorepo-template/react-doctor)<a href="https://agentmods.dev/skills/louisbrulenaudet/monorepo-template/react-doctor"><img src="https://agentmods.dev/badge/skills/louisbrulenaudet/monorepo-template/react-doctor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/louisbrulenaudet/monorepo-template/react-doctor"><img src="https://agentmods.dev/badge/skills/louisbrulenaudet/monorepo-template/react-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00070 | $0.00848 |
| Opus 5.5 | $0.00028 | $0.00339 |
| Sonnet 5.5 | $0.00014 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
react-doctor scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --fail --silent --show-error \ This is a copy
86% identical to react-doctor — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 63 lines · 70 tokens per session scan A 10dbcad10c9c
react-doctor is a skill published in the GitHub repository louisbrulenaudet/monorepo-template (19 stars, last pushed today), licensed Apache-2.0. It adds 70 tokens to every session and 848 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to react-doctor, differing in 17 lines, and is treated as a copy.
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