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 almasumdev/awesome-mobile-performance-agent-skills --skill memory-profilinggit clone --depth 1 https://github.com/almasumdev/awesome-mobile-performance-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/almasumdev/awesome-mobile-performance-agent-skills/memory-profiling)<a href="https://agentmods.dev/skills/almasumdev/awesome-mobile-performance-agent-skills/memory-profiling"><img src="https://agentmods.dev/badge/skills/almasumdev/awesome-mobile-performance-agent-skills/memory-profiling.svg" alt="Measured on agentmods" 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 | $0.00043 | $0.01324 |
| Opus 5 | $0.00022 | $0.00662 |
| Sonnet 5 | $0.00009 | $0.00265 |
| Haiku 4.5 | $0.00004 | $0.00132 |
Grade A, and why
memory-profiling 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 6d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago First seen · 138 lines · 43 tokens per session scan A 527711596299
memory-profiling is a skill published in the GitHub repository almasumdev/awesome-mobile-performance-agent-skills (1 stars, last pushed 4mo ago), with no licence file. It adds 43 tokens to every session and 1,324 once invoked, about $0.0002 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 2026-09-01.
Other skills, from other repositories
crash-reporting-strategy
Crash reporting for mobile - symbolication, SLOs, tagging, triage workflow, and comparing Crashlytics, Sentry, Bugsnag, Firebase, and native (APM) reporters. Use when setting up or improving crash reporting.
crashlytics-setup
Set up Firebase Crashlytics correctly across Android (Kotlin), iOS (Swift), Flutter, and React Native with custom keys, user ids, and release tagging. Use when adding or auditing Crashlytics integration.
sentry-mobile
Set up Sentry on mobile with error reporting, performance tracing, and session replay. Includes the iOS/Android/Flutter/RN SDKs and the privacy and cost caveats of session replay on mobile.
log-levels-and-hygiene
Rules for choosing log levels, keeping signal/noise healthy, managing on-device log retention, and avoiding logger abuse on mobile. Use whenever adding or reviewing log statements.
ios-performance-audit
Expert guidance on auditing iOS runtime performance using Instruments (Time Profiler, Hangs, Allocations), SwiftUI view rebuild analysis, and common fix patterns. Use when the app feels slow or drops frames.
java-performance-audit
Expert guidance on auditing a Java Android app's runtime performance with Android Studio Profiler, StrictMode, Layout Inspector, and GPU overdraw. Use this when investigating jank, slow startup, ANRs, or memory leaks.