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 appeeky/google-play-console-cli --skill gps-usersgit clone --depth 1 https://github.com/appeeky/google-play-console-cliWrote 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/appeeky/google-play-console-cli/gps-users)<a href="https://agentmods.dev/skills/appeeky/google-play-console-cli/gps-users"><img src="https://agentmods.dev/badge/skills/appeeky/google-play-console-cli/gps-users/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/appeeky/google-play-console-cli/gps-users"><img src="https://agentmods.dev/badge/skills/appeeky/google-play-console-cli/gps-users.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 | $0.00034 | $0.00239 |
| Opus 5.5 | $0.00014 | $0.00096 |
| Sonnet 5.5 | $0.00007 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
gps-users 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 1mo 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.
What it actually says
Play Console users and grants
These flows are exposed primarily via the ops registry / MCP (not always as short CLI verbs).
gps ops users
gps call gps_list_users '{"developerId":"DEVELOPER_ID"}'
Common ops:
| Op | Purpose |
|---|---|
gps_list_users |
List users |
gps_create_user |
Invite / create user |
gps_patch_user |
Update user |
gps_delete_user |
Remove user |
gps_create_grant |
Grant app access |
gps_patch_grant |
Update grant |
gps_delete_grant |
Remove grant |
Agent rules
- Destructive user/grant changes need explicit user confirmation.
- You need the Play developer account id for list/create user calls.
- Prefer grants scoped to the target app package rather than broad account admin when the user only asked for app access.
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.
- 1mo ago First seen · 34 lines · 34 tokens per session scan A 6256197630e0
gps-users is a skill published in the GitHub repository appeeky/google-play-console-cli (40 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 239 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
android-expert
Expert in Android development with Jetpack Compose, Material Design, ViewModel, and modern Android architecture. Use when the user mentions mobile, Kotlin, Jetpack Compose, Material Design, or Google, or when the task involves Android Architecture, Android Components, Jetpack Libraries, or Activity/Fragment Lifecycle.
agent-platform-tuning
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use agent-platform-deploy), or managing serving endpoints (use agent-platform-endpoint-management).
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
application-design-center-design-deploy
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
gke-ai-troubleshooting-jobset-interruption
Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workload deployment, or…