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 agentmods add skills/harperreed/dotfiles/native-app-performancenpx skills add harperreed/dotfiles --skill native-app-performancegit clone --depth 1 https://github.com/harperreed/dotfilesWhat 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 | $0.00058 | $0.00539 |
| Opus 5 | $0.00029 | $0.00269 |
| Sonnet 5 | $0.00012 | $0.00108 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
native-app-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 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 3d ago First seen · 64 lines · 58 tokens per session scan A 357b047c2cee
native-app-performance is a skill published in the GitHub repository harperreed/dotfiles (332 stars, last pushed 10d ago), with no licence file. It adds 58 tokens to every session and 539 once invoked, about $0.0003 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.
Other skills, from other repositories
wear-widget
Workflows, checklists, and scripts for reverse-engineering, analyzing, and extracting Wear OS and Android widgets (Glance, AppWidget, ProtoLayout Tiles). Covers manifest declarations, XML configurations, preview asset extraction, and AVD rendering. Use when analyzing APK widget features, extracting widget…
jetpack
Looks up AndroidX and Jetpack library facts that change between releases: current artifact versions (ALPHA, BETA, RC, STABLE, SNAPSHOT, build IDs), Maven coordinates for classes/packages, direct dependencies, and published source code. Use when looking up AndroidX/Jetpack library versions, finding Maven coordinates…
emumanager
Manages Android SDKs, system images, emulators, and Android Virtual Devices (AVDs). Provides workflows for bootstrapping the SDK, downloading images, and creating, starting, or stopping AVDs across mobile, Wear OS, TV, and Automotive form factors. Use when setting up Android SDK tools, launching or debugging…
android-testing
Workflows and ADB commands for testing Android and Wear OS applications. Covers system state simulation (Doze mode, battery levels, network failover, Bluetooth proxy), location and sensor spoofing, health permissions, UI automation guidelines, and Wear OS surfaces (tiles, complications, watch faces). Use when testing…
adb
Manipulates Android devices via ADB with emphasis on Wear OS and device automation. Provides scripts for screenshots with circular masking, screen recording, tile management, WearableService inspection, package operations, and device configuration. Use when automating Android devices, debugging Wear OS watches…
apk
Performs offline binary analysis, extraction, decoding, decompilation, and inspection of Android APKs and split-APK ZIP archives. Provides tools for reading manifests, extracting launcher icons, inspecting Wear OS tiles/complications, and decoding resources. Use when inspecting APK metadata, decompiling resources…