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-bluetooth-blegit 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-bluetooth-ble)<a href="https://agentmods.dev/skills/prasad-vennam/awesome-android-ai-agent-skills/android-bluetooth-ble"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-bluetooth-ble/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-bluetooth-ble"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-bluetooth-ble.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 | $0.00022 | $0.00345 |
| Opus 5 | $0.00011 | $0.00172 |
| Sonnet 5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
android-bluetooth-ble 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.
What it actually says
Android Bluetooth Low Energy (BLE) & Permissions 📡
Working with IoT devices, Gatt Servers, and BLE scanning requires precise lifecycle control and permission handling.
⚡ When to Use
- When connecting to hardware devices via Bluetooth.
🏗️ Core Rules / Pillars
1. The Android 12+ Permission Shift
- Pattern: Location permissions are NO LONGER explicitly required for BLE if you declare that you are not using BLE for location tracking.
- Implementation: Use
BLUETOOTH_CONNECTandBLUETOOTH_SCANpermissions in the manifest, and optionally setandroid:usesPermissionFlags="neverForLocation"onBLUETOOTH_SCAN.
2. Reactive BLE Wrappers
- Pattern: The native
BluetoothGattCallbackis entirely callback-based and prone to race conditions if used directly. - Implementation: You MUST wrap BLE reads, writes, and connection states in Kotlin
callbackFlow { }orMutableStateFlowto guarantee state correctness across coroutines.
🚧 Critical Anti-Hallucination Guards
- Trap: NEVER fire multiple BLE GATT operations at exactly the same time. The Android BLE stack will drop packets quietly. Always queue GATT operations sequentially!
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 · 34 lines · 22 tokens per session scan A f126646cb6c5
android-bluetooth-ble 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 22 tokens to every session and 345 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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