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 design-sparx/mantine-analytics-dashboard --skill react-performancegit clone --depth 1 https://github.com/design-sparx/mantine-analytics-dashboardWrote 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/design-sparx/mantine-analytics-dashboard/react-performance)<a href="https://agentmods.dev/skills/design-sparx/mantine-analytics-dashboard/react-performance"><img src="https://agentmods.dev/badge/skills/design-sparx/mantine-analytics-dashboard/react-performance/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/design-sparx/mantine-analytics-dashboard/react-performance"><img src="https://agentmods.dev/badge/skills/design-sparx/mantine-analytics-dashboard/react-performance.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 | $0.00011 | $0.00172 |
| Opus 5.5 | $0.00004 | $0.00069 |
| Sonnet 5.5 | $0.00002 | $0.00034 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
react-performance 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 7d 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 Performance
Performance rules for React 19 and Next.js 16.
When to Use
- Performance audits
- Bundle size optimization
- Rendering performance issues
- Before merging performance-sensitive changes
Core Guidelines
- Server Components are the default in Next.js App Router
- Use useMemo/useCallback only when profiling shows benefit
- Avoid useEffect for derived state — compute during render
- Prefer RSC fetch over client-side useEffect fetches
- Keep client component boundaries narrow
- Use next/dynamic for heavy client components
Checklist
- No unnecessary client-side fetching
- No prop drilling through multiple client boundaries
- Images use next/image with explicit sizes
- Heavy components are dynamically imported
- Bundle size reviewed for new dependencies
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.
- 7d ago First seen · 33 lines · 11 tokens per session scan A 527793c70ece
react-performance is a skill published in the GitHub repository design-sparx/mantine-analytics-dashboard (387 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 172 once invoked, about $0.0000 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 2026-09-24.
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