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SKILL verified MIT Self-run

Android

skill-felixgraeber-claude-android-audit-skill-android · by FelixGraeber

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Install

$ agentstack add skill-felixgraeber-claude-android-audit-skill-android

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-felixgraeber-claude-android-audit-skill-android)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Android Project Audit Skill

Quick Reference

| Command | Description | |---------|-------------| | /android audit [path] | Full multi-category audit using a shared evidence bundle | | /android architecture [path] | Architecture and module structure review | | /android performance [path] | Static performance preflight | | /android security [path] | OWASP-oriented security audit | | /android compat [path] | Android 15/16 compatibility preflight | | /android design [path] | Design system implementation audit | | /android accessibility [path] | Accessibility preflight from static evidence | | /android testing [path] | Testing strategy and risk coverage review | | /android build [path] | Build system and dependency hygiene review | | /android playstore [path] | Play preflight from source evidence |

Evidence Contract

The canonical static evidence contract is:

  • schemas/audit_context.schema.json
  • schemas/finding.schema.json

The canonical rule registry is:

  • rules/rules.json
  • rules/facts.json

Generated markdown references:

  • references/quality-gates.md
  • references/scoring-weights.md

Agents should consume audit-context.json instead of re-parsing the repo freehand.

Project Detection

Confirm an Android project by scanning for at least one of:

  1. **/build.gradle.kts or **/build.gradle
  2. **/settings.gradle.kts or **/settings.gradle
  3. **/src/main/AndroidManifest.xml

If none are present at [path], stop and report that no Android project was detected.

Project Classification

Classification is deterministic and happens before agent dispatch.

Ordered checks:

  1. sdk-library if there is no application module and at least one Android library module
  2. single-module vs multi-module from discovered modules
  3. compose-first vs xml-legacy vs hybrid from src/main sources only

The resulting project_type is stored in audit-context.json with:

  • repo_kind
  • app_shape
  • ui_stack

Orchestration Flow

Step 1: Scan Structure

Run:

python skills/android/scripts/scan_project.py [path] --json

Step 2: Extract Static Evidence

Run:

python skills/android/scripts/analyze_gradle.py [path] --json
python skills/android/scripts/analyze_manifest.py [path] --json
python skills/android/scripts/analyze_compose.py [path] --json
python skills/android/scripts/analyze_dependencies.py [path] --json
python skills/android/scripts/check_r8_config.py [path] --json

Step 3: Build Shared Audit Context

Run:

python skills/android/scripts/build_audit_context.py [path] --output generated/audit-context.json

Agents receive generated/audit-context.json as their primary input.

Step 4: Parallel Agent Interpretation

Dispatch relevant agents with:

  • project root
  • generated/audit-context.json
  • selected category

Agents must:

  • prefer evidence already present in audit-context.json
  • cite evidence keys and file paths
  • mark runtime-only or policy-only claims as lower confidence
  • avoid claiming deterministic findings from missing artifacts

Step 5: Deterministic Gate Evaluation

Apply the canonical gates and caps with:

python skills/android/scripts/score.py generated/audit-context.json

If category scores are available from agents, pass them into score.py. Otherwise, emit:

  • triggered gates
  • unresolved external-evidence gates
  • applied score caps
  • confidence
  • formula trace status

Do not emit a final 0-100 score when category evidence is missing.

Output Files

Preferred outputs:

  • generated/audit-context.json
  • ANDROID-AUDIT-REPORT.md
  • ANDROID-ACTION-PLAN.md

The report must distinguish:

  • Verified static findings
  • Preflight warnings
  • External evidence required

Trust Boundaries

These categories are currently static preflight unless richer artifacts are provided:

  • Performance: runtime metrics, macrobenchmarks, vitals, traces
  • Design system: screenshots, previews, design specs
  • Accessibility: runtime semantics, screenshots, assistive-tech testing
  • Play preflight: Play Console forms, policy declarations, listing assets

Freshness

Time-sensitive platform and policy facts live in rules/facts.json with:

  • last_verified
  • source_url
  • applies_from
  • confidence

Do not hardcode moving platform deadlines only in prose.

Reference Files

  • references/android-16-changes.md
  • references/owasp-mobile-2024.md
  • references/play-store-policies.md
  • references/compose-best-practices.md
  • references/material-design-3.md
  • references/quality-gates.md
  • references/scoring-weights.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.