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-lint-and-qualitygit 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-lint-and-quality)<a href="https://agentmods.dev/skills/prasad-vennam/awesome-android-ai-agent-skills/android-lint-and-quality"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-lint-and-quality/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-lint-and-quality"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/android-lint-and-quality.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 | $0.00027 | $0.00770 |
| Opus 5 | $0.00014 | $0.00385 |
| Sonnet 5 | $0.00005 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
android-lint-and-quality 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Android Code Quality & Linting 🧹🛡️
Professional strategies for enforcing team standards and preventing technical debt through automated static analysis.
⚡ When to Use
- Code Review Readiness: Automatically checking Pull Requests for common errors.
- Enforcing Style: Ensuring all developers follow the same Kotlin formatting.
- Complex Bug Prevention: Using custom Lint rules to catch project-specific issues.
- CI/CD Automation: Failing builds on logic or style violations.
- Gradual Refactoring: Deprecating legacy methods and encouraging migration.
🏗️ The 3 Layers of Analysis
1. Android Lint (Built-in)
- Rules: Catch memory leaks, missing accessibility labels, and incorrect resource usages.
- Customization: Use
lint-rulesmodule to write your own rules specific to your app architecture.
2. Detekt (Core Logic Static Analysis)
- Benefit: Checks for code smells (Long methods, deep nested loops, cognitive complexity).
- Gradle Task:
./gradlew detekt
3. KtLint (Formatting)
- Benefit: Focuses purely on coding style (Indentation, line length, spacing).
- Rule: Follow the Official Android Kotlin Style Guide.
- Gradle Task:
./gradlew ktlintCheck/./gradlew ktlintFormat
🚀 Quality Enforcement Checklist
- Fail Fast: Set
abortOnError = truein Gradle to ensure bad code never stays in the repo. - Custom Rules: For example: "No
Log.dallowed in production" or "All ViewModels must inherit fromBaseViewModel". - Baseline Files: Use
baseline.xmlto ignore existing issues in older code and only enforce rules on new changes.
🛠️ Configuration Example
// build.gradle.kts
lint {
isWarningsAsErrors = true
isAbortOnError = true
xmlReport = true
htmlReport = true
}
detekt {
buildUponDefaultConfig = true
allRules = false
config = files("$projectDir/config/detekt.yml")
}
📐 Team Policy Best Practices
- Pre-commit Hooks: Use
Git Hooksto run KtLint locally before pushing. - CI Report Annotation: Configure CI (e.g., GitHub Actions) to comment directly on PR lines with Lint/Detekt findings.
- Quality Gates: Maintain a score using tools like SonarQube or Codecov.
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.
- 13d ago First seen · 82 lines · 27 tokens per session scan A af45d3381884
android-lint-and-quality 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 27 tokens to every session and 770 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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