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 pproenca/dot-skills --skill react-optimisegit clone --depth 1 https://github.com/pproenca/dot-skillsWrote 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/pproenca/dot-skills/react-optimise)<a href="https://agentmods.dev/skills/pproenca/dot-skills/react-optimise"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/react-optimise/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/pproenca/dot-skills/react-optimise"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/react-optimise.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00105 | $0.02577 |
| Opus 5 | $0.00053 | $0.01288 |
| Sonnet 5 | $0.00021 | $0.00515 |
| Haiku 4.5 | $0.00011 | $0.00258 |
Grade A, and why
react-optimise 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Optimise Best Practices
Application-level performance optimization guide for React applications. Contains 43 rules across 8 categories, prioritized by impact from critical (React Compiler, bundle optimization) to incremental (memory management).
When to Apply
- Optimizing React application performance or bundle size
- Adopting or troubleshooting React Compiler v1.0
- Splitting bundles and configuring code splitting
- Improving Core Web Vitals (INP, LCP, CLS)
- Profiling render performance and identifying bottlenecks
- Fixing memory leaks in long-lived single-page applications
- Optimizing data fetching patterns and eliminating waterfalls
Rule Categories
| Category | Impact | Rules | Key Topics |
|---|---|---|---|
| React Compiler Mastery | CRITICAL | 6 | Compiler-friendly code, bailout detection, incremental adoption |
| Bundle & Loading | CRITICAL | 6 | Route splitting, barrel elimination, dynamic imports, prefetching |
| Rendering Optimization | HIGH | 6 | Virtualization, children pattern, debouncing, CSS containment |
| Data Fetching Performance | HIGH | 5 | Waterfall elimination, route preloading, SWR, deduplication |
| Core Web Vitals | MEDIUM-HIGH | 5 | INP yielding, LCP priority, CLS prevention, image optimization |
| State & Subscription Performance | MEDIUM-HIGH | 5 | Context splitting, selectors, atomic state, derived state |
| Profiling & Measurement | MEDIUM | 5 | DevTools profiling, flame charts, CI budgets, production builds |
| Memory Management | LOW-MEDIUM | 5 | Effect cleanup, async cancellation, closure leaks, heap analysis |
Quick Reference
Critical patterns — get these right first:
- Write compiler-friendly components to unlock automatic 2-10x optimization
- Split code at route boundaries to reduce initial bundle by 40-70%
- Eliminate barrel files to enable tree shaking
- Detect and fix silent compiler bailouts
Common mistakes — avoid these anti-patterns:
- Reading refs during render (breaks compiler optimization)
- Importing entire libraries when only using one function
- Not profiling before optimizing (targeting the wrong bottleneck)
- Missing effect cleanup (subscription memory leaks)
What ships with it
48 files 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.
- AGENTS.md 9.1 KB
- assets/templates/_template.md 631 B
- metadata.json 776 B
- README.md 4.4 KB
- references/_sections.md 2.1 KB
- references/bundle-analyze-budgets.md 1.9 KB
- references/bundle-barrel-elimination.md 1.6 KB
- references/bundle-dynamic-imports.md 2.1 KB
- references/bundle-prefetch-routes.md 2.6 KB
- references/bundle-route-splitting.md 2.4 KB
- references/bundle-tree-shake-deps.md 2.1 KB
- references/compiler-friendly-code.md 1.8 KB
- references/compiler-incremental-adoption.md 2.2 KB
- references/compiler-ref-access-patterns.md 2.5 KB
- references/compiler-remove-manual-memo.md 1.8 KB
- references/compiler-side-effect-rules.md 1.9 KB
- references/compiler-silent-bailouts.md 2.1 KB
- references/cwv-cls-prevention.md 1.9 KB
- references/cwv-image-optimization.md 2.0 KB
- references/cwv-inp-optimization.md 2.1 KB
- references/cwv-instrumentation.md 2.1 KB
- references/cwv-lcp-optimization.md 2.4 KB
- references/fetch-abort-stale.md 2.3 KB
- references/fetch-eliminate-waterfalls.md 2.6 KB
- references/fetch-request-deduplication.md 2.5 KB
- references/fetch-route-preloading.md 2.1 KB
- references/fetch-stale-while-revalidate.md 2.2 KB
- references/mem-async-cancellation.md 2.3 KB
- references/mem-closure-leaks.md 2.8 KB
- references/mem-effect-cleanup.md 2.0 KB
- references/mem-heap-snapshots.md 3.0 KB
- references/mem-heavy-resources.md 2.6 KB
- references/profile-before-optimize.md 2.8 KB
- references/profile-flame-charts.md 2.8 KB
- references/profile-performance-budgets.md 2.0 KB
- references/profile-production-builds.md 2.5 KB
- references/profile-react-devtools.md 2.4 KB
- references/render-avoid-inline-objects.md 2.3 KB
- references/render-children-pattern.md 1.7 KB
- references/render-css-containment.md 2.3 KB
- references/render-debounce-expensive.md 3.0 KB
- references/render-key-stability.md 1.7 KB
- references/render-virtualize-lists.md 2.4 KB
- references/sub-atomic-state.md 2.5 KB
- references/sub-context-splitting.md 2.7 KB
- references/sub-derived-state-perf.md 2.2 KB
- references/sub-selector-subscriptions.md 2.0 KB
- references/sub-server-client-separation.md 2.8 KB
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.
- 5d ago First seen · 114 lines · 105 tokens per session scan A f5765dd0a578
react-optimise is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 24d ago), licensed MIT. It adds 105 tokens to every session and 2,577 once invoked, about $0.0005 per session on Opus 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 2026-09-03.
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