OpenTag connects Slack with coding agents running on a computer controlled by the user, so channel mentions can queue work and return status, decisions, and evidence in the same thread. It is for engineering teams that want to run agents such as Claude Code, Codex, or Cursor against local checkouts through the Agent Client Protocol.
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 amplifthq/opentag --skill react-doctorgit clone --depth 1 https://github.com/amplifthq/opentagWrote 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/amplifthq/opentag/react-doctor)<a href="https://agentmods.dev/skills/amplifthq/opentag/react-doctor"><img src="https://agentmods.dev/badge/skills/amplifthq/opentag/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/amplifthq/opentag/react-doctor"><img src="https://agentmods.dev/badge/skills/amplifthq/opentag/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 | $0.00042 | $0.00281 |
| Opus 5.5 | $0.00017 | $0.00112 |
| Sonnet 5.5 | $0.00008 | $0.00056 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
react-doctor scanned grade A with 0 findings 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 2d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
React Doctor
Scans React codebases for security, performance, correctness, and architecture issues. Outputs a 0–100 health score.
Choose the scope
Use --diff for a changed-code diagnostic question. Omit it only when a full
React code-health audit is requested or needed to investigate that question.
Treat findings and the score as diagnostic leads, not proof of a defect or a commit gate. Verify a finding against actual behavior and the task's scope before fixing it. Address real regressions introduced by the change; keep unrelated findings out of the task. Do not rerun merely to raise the score.
Command
npx -y react-doctor@latest . --verbose --diff
| Flag | Purpose |
|---|---|
. |
Scan current directory |
--verbose |
Show affected files and line numbers per rule |
--diff |
Only scan changed files vs base branch |
--score |
Output only the numeric score |
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.
- 2d ago First seen · 33 lines · 42 tokens per session scan A 0771f92e4ace
react-doctor is a skill published in the GitHub repository amplifthq/opentag (0 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 281 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-15.
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