play-policy-insights

play-policy-insights is a skill for Claude Code from ArisGuimera/MobiAI-Core. It costs 66 tokens per session (2,009 once invoked), scanned A, a copy of play-policy-insights, MIT.

An Android app compliance auditor that compares an app's code with its Google Play Store declarations. It checks data safety disclosures, demo login credentials, and restricted permissions.

In plain words
What is it for?
Use it to audit Android projects against selected Google Play policy areas and identify changes needed in code or store declarations.
Why use it?
It helps find undeclared data collection, risky app design, and missing disclosures before a Play Store review. It produces a compliance report based on those checks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the android plugin — 35 skills shipped together

Good fit Use it to audit Android projects against selected Google Play policy areas and identify changes needed in code or store declarations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arisguimera/mobiai-core/play-policy-insights
Install

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.

Any agent
npx skills add ArisGuimera/MobiAI-Core --skill play-policy-insights
Clone the repo
git clone --depth 1 https://github.com/ArisGuimera/MobiAI-Core

Made for: Claude Code.

Or install android, the plugin that ships this one along with the rest of its 35 skills.

Wrote 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.

agentmods badge for play-policy-insights

README.md
[![agentmods](https://agentmods.dev/badge/skills/arisguimera/mobiai-core/play-policy-insights/github.svg)](https://agentmods.dev/skills/arisguimera/mobiai-core/play-policy-insights)
Your own site
<a href="https://agentmods.dev/skills/arisguimera/mobiai-core/play-policy-insights"><img src="https://agentmods.dev/badge/skills/arisguimera/mobiai-core/play-policy-insights/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.

agentmods 80×15 button for play-policy-insights

Your own site · 80×15
<a href="https://agentmods.dev/skills/arisguimera/mobiai-core/play-policy-insights"><img src="https://agentmods.dev/badge/skills/arisguimera/mobiai-core/play-policy-insights.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,009 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.02009
Opus 5.5 $0.00026 $0.00804
Sonnet 5.5 $0.00013 $0.00402
Haiku 4.5 $0.00007 $0.00201

Measured yesterday against content hash cc7b9074b746, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

play-policy-insights 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 yesterday.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/generate_report.py, scripts/orchestrator.py, scripts/play_store_scraper.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to play-policy-insights — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/android/skills/google/play-policy-insights/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Play Policy Insights: data safety, login credentials, and restricted permissions

You must audit Android apps for three specific policy domains. You must check data safety, demo login credentials, and restricted permissions.

Path Resolution

  • repo_root: Absolute path to the directory containing this SKILL.md.
  • app_dir:: Absolute path to the directory containing app's code.
  • temp_dir: Absolute path to the scratch directory at the workspace root. It is located at .scratch/play_policy_insights_<uuid>. Containment Mandate: You must confine all file system writes, intermediate artifacts, and logs strictly to this directory. This ensures the skill remains portable and safe across diverse execution environments, including local harnesses and CI/CD pipelines, by avoiding reliance on system-level temporary paths or user home directories.

Critical mandates

  • Execution Mode Awareness Before starting Phase 2, evaluate if your execution environment provides a tool to spawn or delegate tasks to general-purpose sub-agents (e.g., tools often named invoke_agent, delegate_task, or spawn_worker, using generic agent profiles like 'generalist' or 'coding_agent').

  • If YES, you MUST use Mode A (Delegation).

  • If NO, use Mode B (Sequential Self-Execution). You must read the prompt files intended for the subagents, follow their instructions, and write the expected output files to disk.

  • Sub-agents orchestration:

    • If you use "Mode A (Delegation)", wait for "SUCCESS" confirmation from sub-agents to know when they are done.

    • Idempotency & Timeout Safeguard: If a sub-agent fails or times out, you MUST verify the presence and integrity of its target output file (e.g., <temp_dir>/worker_<goal_name>.json) before retrying. If the file exists and contains valid JSON, treat the execution as SUCCESS and proceed. Otherwise, retry up to three times.

Read the full file on GitHub · 170 lines

Changes

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.

  1. yesterday First seen · 170 lines · 66 tokens per session scan A cc7b9074b746

Subscribe to this mod's changes

play-policy-insights is a skill published in the GitHub repository ArisGuimera/MobiAI-Core (489 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 2,009 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to play-policy-insights, differing in 0 lines, and is treated as a copy.

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