Borrowing it
Nothing to install: this file belongs to arindamxd/camerax-android. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/arindamxd/camerax-android/master/.agents/skills/play-policy-insights/SKILL.mdgit clone --depth 1 https://github.com/arindamxd/camerax-androidWrote 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/arindamxd/camerax-android/play-policy-insights)<a href="https://agentmods.dev/skills/arindamxd/camerax-android/play-policy-insights"><img src="https://agentmods.dev/badge/skills/arindamxd/camerax-android/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.
<a href="https://agentmods.dev/skills/arindamxd/camerax-android/play-policy-insights"><img src="https://agentmods.dev/badge/skills/arindamxd/camerax-android/play-policy-insights.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 | $0.00066 | $0.02009 |
| Opus 5 | $0.00033 | $0.01005 |
| Sonnet 5 | $0.00013 | $0.00402 |
| Haiku 4.5 | $0.00007 | $0.00201 |
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 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.
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.
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, orspawn_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.
-
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- resources/common_mandates.md 6.0 KB
- resources/compliance_report_template.md 3.1 KB
- resources/critic.md 4.2 KB
- resources/goal_data_safety.md 10 KB
- resources/goal_permissions_and_apis.md 26 KB
- resources/goal_user_account.md 5.1 KB
- resources/policies.json 13 KB
- resources/scanner_config.json 24 KB
- scripts/generate_report.py 27 KB runs code
- scripts/orchestrator.py 40 KB runs code
- scripts/play_store_scraper.py 12 KB runs code
- scripts/scanner.py 8.7 KB runs code
- scripts/template_engine.py 7.0 KB runs code
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 · 170 lines · 66 tokens per session scan A cc7b9074b746
play-policy-insights is a skill published in the GitHub repository arindamxd/camerax-android (132 stars, last pushed 12d ago), licensed Apache-2.0. It adds 66 tokens to every session and 2,009 once invoked, about $0.0003 per session on Opus 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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