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 Omar-Obando/qwen-orchestrator --skill mobile-performancegit clone --depth 1 https://github.com/Omar-Obando/qwen-orchestratorWrote 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/omar-obando/qwen-orchestrator/mobile-performance)<a href="https://agentmods.dev/skills/omar-obando/qwen-orchestrator/mobile-performance"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/mobile-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/omar-obando/qwen-orchestrator/mobile-performance"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/mobile-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 | $0.00017 | $0.03412 |
| Opus 5 | $0.00009 | $0.01706 |
| Sonnet 5 | $0.00003 | $0.00682 |
| Haiku 4.5 | $0.00002 | $0.00341 |
Grade A, and why
mobile-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 9d 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 — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mobile Performance Optimization
When to Use
- Optimizing mobile app startup time
- Reducing memory footprint and preventing leaks
- Improving scroll performance and frame rates
- Optimizing battery consumption
- Reducing app bundle size
- Implementing lazy loading for mobile resources
- Optimizing image loading and caching strategies
- Improving network request efficiency on mobile
- Reducing jank and stuttering in animations
- Optimizing database queries on mobile devices
- Implementing efficient state management
- Reducing cold/warm start times
- Optimizing rendering pipeline
- Implementing efficient list/virtualization patterns
- Reducing memory allocations in hot paths
- Optimizing JavaScript execution on mobile
- Implementing efficient caching strategies
- Reducing main thread blocking operations
- Optimizing image decoding and processing
- Implementing efficient animation systems
- Reducing layout thrashing
- Optimizing touch response times
- Implementing efficient background task handling
When NOT to Use
- Desktop web performance optimization (use
performanceskill instead) - Server-side rendering optimization (use
serverless-optimizationskill) - API endpoint performance (use
api-designskill) - Database server optimization (use
database-designskill) - Network infrastructure optimization
- CDN configuration and optimization
- Web worker optimization for desktop
- WebGL/WebGPU performance tuning
- Progressive Web App caching strategies
- Service worker optimization
- HTTP/2 or HTTP/3 configuration
- Server push optimization
- Critical CSS generation for web
- Font loading optimization for web
- Preload/prefetch hint optimization
Prerequisites
- Understanding of mobile app architecture (React Native, Flutter, or native)
- Knowledge of mobile device constraints (memory, CPU, battery)
- Familiarity with mobile profiling tools
- Understanding of mobile network conditions (3G, 4G, 5G, offline)
- Experience with mobile-specific performance metrics
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.
- 9d ago First seen · 493 lines · 17 tokens per session scan A 45272fe4583b
mobile-performance is a skill published in the GitHub repository Omar-Obando/qwen-orchestrator (49 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 3,412 once invoked, about $0.0001 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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