Agent skill

Diagnose Android Overheating

by sickn33 in sickn33/agentic-awesome-skills

A skill your agent uses when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates.

MITAuto-check passedMobile

Install Diagnose Android Overheating

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill diagnose-android-overheating -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills diagnose-android-overheating --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/diagnose-android-overheating .claude/skills/diagnose-android-overheating && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
diagnose-android-overheating
GitHub stars
47k
Used in
1 other repo
Token cost
~2.9k tokens
SKILL.md length
1,463 words
Files
3 (incl. references)
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates.

  • Works in 6 steps: Capture an Untouched Baseline → Choose the Evidence Branch → Reproduce with a Controlled Comparison → …
  • Diagnosing Android overheating
  • SKILL.md covers Overview, When to Use This Skill, Safety Stop and Diagnostic Contract, plus 8 more sections
  • Calls adb

What it does

Diagnose Android Overheating is an agent skill from sickn33/agentic-awesome-skills. Use when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/evidence-and-interpretation.md`).

It sits in Mobile, covering Mobile testing and debugging. It works with Android. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Diagnosing Android overheating
  • Thermal throttling
  • Abnormal battery drain with read-only ADB evidence and approval gates

Example prompts

  • “/diagnose-android-overheating”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Capture an Untouched Baseline
  2. Choose the Evidence Branch
  3. Reproduce with a Controlled Comparison
  4. Correlate, Do Not Guess
  5. Classify the Finding
  6. Gate Every Intervention

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • adb

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Diagnose Android Overheating loads about 2.9k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 1,463 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 1,463 words, ~2,924 tokens.

Download SKILL.mdSave it as .claude/skills/diagnose-android-overheating/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
diagnose-android-overheating
description
Use when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates.
category
debugging
risk
critical
source
self
source_type
self
date_added
2026-07-16
author
Antigravity Awesome Skills maintainers
tags
android, adb, overheating, thermal, battery, diagnostics
tools
claude, cursor, gemini, antigravity, codex

Diagnose Android Overheating

Overview

Find the most likely source of Android device heat by correlating thermal state, battery conditions, CPU activity, wakeups, radios, sensors, charging, and the user's timeline. Keep diagnosis read-only by default, distinguish evidence from inference, and propose only the smallest reversible intervention after the user approves it.

When to Use This Skill

  • Use when an Android phone is hot, warm while idle, thermally throttled, shutting down from heat, or draining its battery unusually fast.
  • Use when heat appears during charging, weak cellular signal, 5G use, navigation, camera use, gaming, media playback, tethering, or background activity.
  • Use when the user wants to identify an offending app, service, wakelock, sensor, modem condition, or charging condition through ADB.
  • Use when a previous Android optimization or debloat attempt may have left settings that changed power or thermal behavior.
  • Use for physical phones and tablets. For profiling the energy use of an app under development, use an app-performance skill instead.

Safety Stop

Stop software diagnosis when the device shows battery swelling, smoke, hissing, leaking, a sharp chemical odor, repeated thermal shutdowns, or heat severe enough that it cannot be handled safely. Tell the user to disconnect power if this can be done safely, power the device off, keep it away from flammable material, and seek manufacturer or qualified repair support. Do not suggest cooling the device in a refrigerator or freezer, puncturing it, continuing to charge it, or running stress tests.

Diagnostic Contract

Before collecting data:

  1. Confirm the user owns or is authorized to inspect the device.
  2. Ask what “hot” means: location on the handset, activity, charging state, network type, onset, duration, and whether the heat also occurs while idle.
  3. Record the device model, Android version, recent OS/app changes, charger and cable, ambient conditions, and visible thermal warnings.
  4. Explain that an attached USB cable can charge and warm the device. Use wireless ADB or short capture windows when possible, and compare with the cable disconnected.
  5. Select a specific device serial when more than one ADB target is present. Never assume the first listed device is the intended phone.

Workflow

1. Capture an Untouched Baseline

Do not reset Batterystats, force-stop apps, clear caches, change network modes, alter AppOps, enable battery saver, or change developer settings before preserving the initial state.

Start with read-only commands:

bash
adb devices -l
adb -s <serial> shell getprop ro.product.manufacturer
adb -s <serial> shell getprop ro.product.model
adb -s <serial> shell getprop ro.build.version.release
adb -s <serial> shell getprop ro.build.version.sdk
adb -s <serial> shell uptime
adb -s <serial> shell dumpsys battery
adb -s <serial> shell dumpsys thermalservice
adb -s <serial> shell dumpsys cpuinfo
adb -s <serial> shell top -n 1

If a service or option is unavailable, record that limitation. Do not turn missing output into a healthy verdict. Android and OEM builds expose different services, fields, permissions, and top syntax.

2. Choose the Evidence Branch

Read evidence-and-interpretation.md, then collect only the branches that match the symptom:

  • heat while idle: battery history, power state, alarms, jobs, sensors, location, and radios;
  • heat while charging: battery/USB state and a controlled unplugged comparison;
  • heat under one app: process CPU, package memory, jobs, wakelocks, network, camera, and location;
  • heat in weak signal or mobile data: telephony, connectivity, signal changes, and mobile-radio activity;
  • heat during camera, navigation, gaming, or playback: CPU/GPU-adjacent state, display, camera/media, sensors, location, and network activity;
  • heat after a setting change: capture current values and compare them with the known previous state before proposing rollback.

Do not collect a full bugreport unless narrow evidence is insufficient. Bugreports can contain account identifiers, app activity, network details, notifications, and other sensitive data.

3. Reproduce with a Controlled Comparison

Define one pass/fail comparison before changing anything. Examples:

  • idle with airplane mode versus idle on weak cellular signal;
  • same workload on Wi-Fi versus mobile data;
  • charging versus unplugged after the battery level is stable;
  • suspect app active versus closed by the user;
  • screen on at fixed brightness versus screen off;
  • before versus after the recent OS or app update, when a real reference exists.

Keep workload, duration, brightness, case, charger, ambient conditions, and starting battery level as constant as practical. Timestamp each observation. Avoid benchmarks or synthetic load unless the user explicitly asks and the device is not already thermally stressed.

4. Correlate, Do Not Guess

Require at least two independent signals before attributing the heat:

  • thermal severity or rising battery temperature plus sustained process CPU;
  • thermal change plus mobile-radio activity and poor signal;
  • heat while idle plus persistent partial wakelock, alarm, job, sensor, or location activity;
  • heat during charging plus charging state/current evidence and a cooler unplugged comparison;
  • thermal throttling plus a workload-specific subsystem such as camera, GPU-heavy rendering, navigation, tethering, or media processing.

A hot battery does not identify the cause. A high CPU snapshot does not prove sustained load. A wakelock name does not prove meaningful energy use without duration and timeline correlation. Batterystats estimates are device-dependent and may be absent or incomplete.

5. Classify the Finding

Use one primary class and list plausible contributors separately:

  • app or process CPU load;
  • modem/radio and weak-signal loop;
  • Wi-Fi, Bluetooth, tethering, or continuous transfer;
  • screen, camera, video, GPU, or media processing;
  • GPS, sensors, navigation, or location polling;
  • charging equipment, charging mode, or simultaneous charge-and-load;
  • OS/OEM service, post-update optimization, or configuration residue;
  • battery aging or hardware fault;
  • normal workload heat within the device's reported thermal state;
  • insufficient evidence.

State confidence as confirmed, strongly supported, possible, or unknown. Reserve confirmed for a controlled comparison or direct timeline evidence that changes with the suspected cause.

Show full SKILL.md (601 more words)Show less
6. Gate Every Intervention

Present the evidence and proposed experiment before changing the device.

  • Read-only inspection may proceed within the user's authorized device scope.
  • Interruptive actions, such as stopping an app or temporarily changing connectivity, require the user's awareness and must not disrupt calls, authentication, navigation, alarms, or accessibility services.
  • Persistent settings, network-mode changes, AppOps, package disabling, debloating, or developer-option changes require explicit approval, an exact pre-change value, a rollback command, and post-change verification.
  • Never disable thermal protection, spoof a thermal status, edit thermal thresholds, clear app data, reset the device, or remove packages as a generic overheating fix.
  • Do not treat animation scale, background-process limits, forced GPU rendering, cache trimming, or forced Doze as root-cause fixes.

Change one variable at a time. After the test, restore the old value unless the user explicitly chooses to keep the verified change.

Output Format

text
Symptom and context:
Safety status:
Evidence collected:
Controlled comparison:
Most likely cause:
Confidence:
Contributors or alternatives:
Proposed next test or smallest fix:
Approval required:
Rollback:
Remaining uncertainty:

Examples

Idle Heat on Mobile Data

Correlate thermal and battery trends with signal state, mobile-radio activity, process CPU, and wakeups. A weak signal alone is not enough; show that the heat or radio activity falls during a comparable Wi-Fi or airplane-mode window before calling the modem loop the cause.

Heat After Installing an App

Compare the package's sustained CPU, jobs, alarms, network, location, and wakelock time with the symptom window. Do not force-stop or restrict it until the baseline is saved and the user approves an interruption.

Heat While Charging

Record charger/cable context, battery state, temperature trend, plugged source, and simultaneous workload. Compare against a safe unplugged window. Do not infer battery failure from temperature alone.

Best Practices

  • Preserve raw output before filtering it; OEM labels and field layouts vary.
  • Prefer trends and before/after windows over single snapshots.
  • Separate surface warmth, battery temperature, and framework thermal severity.
  • Keep a record of every mutation and its original value.
  • Redact serials, phone numbers, SSIDs, account identifiers, notifications, and personal app activity before sharing logs.
  • Escalate persistent unexplained idle heat or abnormal charging heat to hardware support when software evidence is weak.

Limitations

  • ADB cannot prove battery internal resistance, physical damage, charger quality, or exact internal component temperature on every device.
  • Thermal sensor values and thresholds are OEM-specific; some devices hide sensors or report status incompletely.
  • Battery attribution is historical and model-dependent, not a laboratory power measurement.
  • USB-connected observation can alter charging, radio, and thermal behavior.
  • Root-only files and vendor services may be unavailable; do not bypass device security to obtain them.

Security & Safety Notes

  • Operate only on a device the user owns or is authorized to inspect.
  • Treat bugreports and raw system dumps as sensitive local artifacts.
  • Never upload logs, install diagnostic APKs, enable network ADB, or expose the ADB daemon without explicit informed approval.
  • Keep the workflow read-only until evidence supports a narrow experiment and the user approves it.

Common Pitfalls

  • Filtering thermalservice down to one word: Preserve the complete output; status, sensor type, throttling severity, and vendor omissions all matter.
  • Calling the top CPU process the cause from one sample: Sample across the heat window and correlate with thermal change.
  • Resetting Batterystats immediately: Save the pre-existing history first; reset only for an explicitly approved controlled capture.
  • Applying several “optimizations” together: Test one reversible hypothesis at a time and verify the symptom, not just the setting.
  • Treating missing OEM data as evidence of no problem: Report the blind spot and use an independent comparison or escalate.
  • @android-cli - Use for Android SDK, emulator, deployment, screenshots, and general device interaction.
  • @android-dev - Use when the root cause is in Android application source code and the user wants an implementation fix.
  • @mobile-developer - Use for broader mobile application development rather than handset-level diagnosis.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/diagnose-android-overheating of sickn33/agentic-awesome-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/evidence-and-interpretation.md

Open the folder on GitHubat commit 680176d

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Diagnose Android Overheating next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Diagnose Android Overheating compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Diagnose Android Overheating this skillsickn33/agentic-awesome-skills47k1 repos~2.9kAutomated safety check: PassMIT
Phone HarnessShawnPana/phone-harness3.2k—~4.3kAutomated safety check: PassMIT
Mobile QAtloncorp/tlon-apps107—~2.4kAutomated safety check: PassMIT
Androidyang1ming/android-harness176—~259Automated safety check: PassMIT
Debug Receiverstimusus/Shuttle2229—~1.9kAutomated safety check: PassApache-2.0
Debug Bridgegetknit/knit132—~2.2kAutomated safety check: PassGPL-3.0

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Works with

Categories

Questions about Diagnose Android Overheating

What does Diagnose Android Overheating do?

A skill your agent uses when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates. Diagnose Android Overheating is an agent skill from sickn33/agentic-awesome-skills. Use when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates.

When should I use Diagnose Android Overheating?

Diagnose Android Overheating fits situations like: diagnosing Android overheating; thermal throttling; abnormal battery drain with read-only ADB evidence and approval gates.

How do I install Diagnose Android Overheating in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill diagnose-android-overheating -a claude-code`. Or copy the skill folder (skills/diagnose-android-overheating in sickn33/agentic-awesome-skills) into .claude/skills/diagnose-android-overheating in your project. Claude Code loads it when a task matches its description.

How do I install Diagnose Android Overheating in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill diagnose-android-overheating -a codex`. Or copy the skill folder (skills/diagnose-android-overheating in sickn33/agentic-awesome-skills) into .agents/skills/diagnose-android-overheating in your project. Codex loads it when a task matches its description.

Can I use Diagnose Android Overheating in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill diagnose-android-overheating -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/diagnose-android-overheating, .gemini/skills/diagnose-android-overheating, .github/skills/diagnose-android-overheating and .opencode/skills/diagnose-android-overheating in your project.

What does Diagnose Android Overheating need to run?

Going by SKILL.md and its folder, Diagnose Android Overheating needs the command-line tools its instructions call (adb).

Does Diagnose Android Overheating access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Diagnose Android Overheating safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Diagnose Android Overheating use?

Diagnose Android Overheating is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Diagnose Android Overheating use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Diagnose Android Overheating?

Skills that share tags, products or a category with Diagnose Android Overheating: Phone Harness (ShawnPana/phone-harness, 3.2k stars), Mobile QA (tloncorp/tlon-apps, 107 stars), Android (yang1ming/android-harness, 176 stars) and Debug Receivers (timusus/Shuttle2, 229 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Diagnose Android Overheating?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.