android-performance-observability

A guide for measuring Android app performance and collecting signals such as startup time, rendering problems, memory use, logs, and crashes.

In plain words
What is it for?
Use it to investigate startup delays, dropped frames, memory issues, baseline profiles, macrobenchmarks, crashes, and other Android performance signals.
Why use it?
It turns vague reports of a slow or unstable app into measurable evidence and actionable traces.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/krutikjain/android-agent-skills/android-performance-observability
Clone the repo
git clone --depth 1 https://github.com/krutikJain/android-agent-skills

Made for: Cursor.

Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 80 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00025 $0.00080
Opus 5 $0.00013 $0.00040
Sonnet 5 $0.00005 $0.00016
Haiku 4.5 $0.00003 $0.00008

Measured 3d ago against content hash d8ce92c02602, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

android-performance-observability 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 3d 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.

.cursor/rules/android-performance-observability.mdc · 10 lines

What it actually says

android-performance-observability

Activate when the request is about android performance profiling, baseline profile or macrobenchmark, app startup issue android. Read skills/android-performance-observability/SKILL.md for the canonical workflow.

Changes

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.

  1. 3d ago First seen · 10 lines · 25 tokens per session scan A d8ce92c02602

Subscribe to this mod's changes

android-performance-observability is a cursor rule published in the GitHub repository krutikJain/android-agent-skills (14 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 80 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 2026-08-30.