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 prasad-vennam/Awesome-Android-AI-Agent-Skills --skill android-performance-auditgit clone --depth 1 https://github.com/prasad-vennam/Awesome-Android-AI-Agent-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/prasad-vennam/awesome-android-ai-agent-skills/android-performance-audit)<a href="https://agentmods.dev/skills/prasad-vennam/awesome-android-ai-agent-skills/android-performance-audit"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-performance-audit/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/prasad-vennam/awesome-android-ai-agent-skills/android-performance-audit"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-performance-audit.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 | $0.00025 | $0.00675 |
| Opus 5 | $0.00013 | $0.00338 |
| Sonnet 5 | $0.00005 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
android-performance-audit 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 11d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Android Performance Auditing 🚀⏱️
Expert strategies for profiling and optimizing Android applications to ensure smooth, responsive, and efficient user experiences.
⚡ When to Use
- UI Lag: Fixing jank in lists or complex Compose layouts.
- Memory Issues: Debugging
OutOfMemoryErroror high memory growth. - App Startup: Reducing the time from icon tap to first usable frame.
- Battery Drain: Identifying excessive network calls or background work.
- Leak Detection: Investigating persistent objects after activity destruction.
🛠️ Main Tools
1. Android Studio Profiler
- CPU Profiler: Inspect call stacks and thread activity.
- Memory Profiler: Capture heap dumps and track allocations.
- Network Profiler: Analyze traffic and payload sizes.
- Energy Profiler: Monitor battery impact.
2. LeakCanary
- Rule: ALWAYS include LeakCanary in debug builds.
- Use it to detect memory leaks automatically during development.
🎥 Compose Optimization
- Recomposition Tracking: Use the "Layout Inspector" in Android Studio to count recompositions.
- Stability Rules: Use
@Stableor@Immutableon domain models to help the Compose compiler. - Lambda Stability: Avoid pass-through lambdas that capture unstable variables; use method references where possible.
- remember & derivedStateOf: Minimize expensive calculations within the composition loop.
🏁 App Startup Optimization
- Baseline Profiles: Use Baseline Profiles to pre-compile critical code paths (AOT) to improve startup by up to 30%.
- Lazy Initialization: Use
LazyorHiltentry points to avoid unnecessary object creation duringApplication.onCreate. - App Startup Library: Utilize
androidx.startupfor organized component initialization.
📦 Memory Management Checklist
- Context Leaks: Ensure no long-lived references to
Activitycontext (useApplicationContextif possible). - Bitmap Scaling: Never load full-resolution bitmaps into small
Imageviews. Use Coil withsize()transformations. - Flow/Coroutine Cleanup: Use
viewModelScopeto ensure background tasks are canceled with the UI.
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.
- 11d ago First seen · 67 lines · 25 tokens per session scan A 2cf09c889eb8
android-performance-audit is a skill published in the GitHub repository prasad-vennam/Awesome-Android-AI-Agent-Skills (9 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 675 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 2026-08-31.
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