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 ArisGuimera/MobiAI-Core --skill engage-sdk-integrationgit clone --depth 1 https://github.com/ArisGuimera/MobiAI-CoreWrote 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/arisguimera/mobiai-core/engage-sdk-integration)<a href="https://agentmods.dev/skills/arisguimera/mobiai-core/engage-sdk-integration"><img src="https://agentmods.dev/badge/skills/arisguimera/mobiai-core/engage-sdk-integration/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/arisguimera/mobiai-core/engage-sdk-integration"><img src="https://agentmods.dev/badge/skills/arisguimera/mobiai-core/engage-sdk-integration.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 | $0.00044 | $0.02173 |
| Opus 5.5 | $0.00018 | $0.00869 |
| Sonnet 5.5 | $0.00009 | $0.00435 |
| Haiku 4.5 | $0.00004 | $0.00217 |
Grade A, and why
engage-sdk-integration 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.
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
98% identical to engage-sdk-integration — 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill guides you through integrating the Play Engage SDK into an Android app. It ensures that the code follows the mandatory structure and uses the required Engage entities for each vertical.
Workflow
Follow these steps to assist the developer:
-
Identify vertical and cluster:
- Ask the developer which vertical their app belongs to based on references/schemas/.
- Check if the integration is for TV or mobile. If the integration is for TV, read the TV-specific sections in patterns.md as well.
- Use
{VERTICAL}.mdin the references/schemas/ directory to identify the corresponding Engage entities and theclientclass name. Theclientfield in the JSON provides the full class name. For example,com.google.android.engage.food.service.AppEngageFoodClient. - Note: Initializing the client class requires a
Contextparameter. For example,AppEngageFoodClient(context). - Always refer to common.md for common entities.
- Ask which cluster type they want to publish from the supported cluster types for that vertical.
- Find the method to call from
{VERTICAL}.mdin the references/schemas/ directory for the specified cluster. Each method will specify the request it expects. - Get the request structure from requests.md and clusters from clusters.md. Then suggest and use sources to fill the fields in the request structure correctly, along with the required entities and clusters.
-
Generate structured boilerplate code:
- Create a new directory for all Engage-related code. Name the directory to match the naming convention of the existing codebase.
- Generate the following classes using templates in patterns.md:
Constants: holds constant values such as attempt counts and publish types.ItemToEntityConverter: converts the app's local models to Engage's Entity models.ClusterRequestFactory: constructs the publish requests.EngageWorker: handles the actual publishing and publish errors using WorkManager.EngagePublisher: orchestrates periodic and one-time jobs.EngageBroadcastReceiver: listens for AppEngageService intents and starts a one-time publish job fromEngagePublisher. Important : Implement both static registration and dynamic registration patterns, including the companion objectregistermethod inside theEngageBroadcastReceiverclass.
-
Suggest entity mapping:
- Ask the developer to provide their local model schema (for example, a data class or a JSON snippet).
- If they haven't provided one, share entities from
{VERTICAL}.mdin the references/schemas/ directory as a guide. - Once the local model is identified, suggest a mapping to the corresponding Engage entity.
- Generate the conversion logic using the
ItemToEntityConverterpattern in patterns.md and add it to the generated{ENGAGE_CODE_DIR}/ItemToEntityConverter.
-
Suggest data source:
- Ask the developer to provide the source of actual data you'll publish.
- Once you identify the data source, use it to fetch the data in the app's local model schema.
- Use
{ENGAGE_CODE_DIR}/ItemToEntityConverterto convert this data to an Engage entity. - Use obtained Engage entity model data with
{ENGAGE_CODE_DIR}/ ClusterRequestFactoryto get cluster requests. - Call corresponding cluster publishing method obtained from
{VERTICAL}.mdin the references/schemas/ directory with the obtained request in previous step in{ENGAGE_CODE_DIR}/EngageWorker.
-
Gradle and manifest updates:
- Suggest updates to
build.gradleandAndroidManifest.xml. - For mobile apps, use patterns.md.
- For TV apps, use the TV-specific sections in patterns.md.
- Provide the necessary
implementationdependencies forbuild.gradleorbuild.gradle.ktsfrom patterns.md. - Provide the
<receiver>and<service>declarations forAndroidManifest.xml. - Note: Except for TV, there aren't any vertical-specific imports. For all other verticals,
com.google.android.engage:engage-core:1.6.0is sufficient.
- Suggest updates to
-
Debugging and verification:
What ships with it
28 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.
- references/android/guide/playcore/engage/faq.md 23 KB
- references/android/guide/playcore/engage/food.md 58 KB
- references/android/guide/playcore/engage/healthandfitness.md 62 KB
- references/android/guide/playcore/engage/listen.md 53 KB
- references/android/guide/playcore/engage/otherverticals.md 93 KB
- references/android/guide/playcore/engage/read.md 44 KB
- references/android/guide/playcore/engage/shopping.md 60 KB
- references/android/guide/playcore/engage/social.md 36 KB
- references/android/guide/playcore/engage/travel.md 102 KB
- references/android/guide/playcore/engage/tv/continue-watching/index.md 1.1 KB
- references/android/guide/playcore/engage/tv/entitlements.md 15 KB
- references/android/guide/playcore/engage/tv/getting-started.md 22 KB
- references/android/guide/playcore/engage/tv/recommendations.md 18 KB
- references/android/guide/playcore/engage/watch.md 59 KB
- references/clusters.md 5.9 KB
- references/common.md 18 KB
- references/patterns.md 21 KB
- references/requests.md 10 KB
- references/schemas/food.md 19 KB
- references/schemas/listen.md 30 KB
- references/schemas/other.md 8.0 KB
- references/schemas/read.md 15 KB
- references/schemas/shopping.md 13 KB
- references/schemas/social.md 8.5 KB
- references/schemas/travel.md 34 KB
- references/schemas/tv.md 47 KB
- references/schemas/watch.md 44 KB
- references/troubleshooting.md 3.6 KB
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.
- yesterday First seen · 128 lines · 44 tokens per session scan A 23f0af1b90be
engage-sdk-integration is a skill published in the GitHub repository ArisGuimera/MobiAI-Core (489 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 2,173 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to engage-sdk-integration, differing in 0 lines, and is treated as a copy.
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