Dev & Engineering ✓ Google · Official androidiosmobile-adsrewarded-adsgoogle-mobile-adsgma-sdk

Google Mobile Ads Rewarded Ads Guide

Guides Android and iOS apps through opt-in rewarded ad integration.

FollowSkills review · FSRS-2.0
Not recommended
47/ 100 5-point scale 2.4 / 5
Trust14 / 25 · 2.8/5

The skill requires confirmation of the platform, target file, and user opt-in for rewarded ads; it does not explain ad data flows, privacy/compliance handling, dependency versions, permission boundaries, reward-grant security, or rollback. No prompt injection, credential theft, covert exfiltration, or destructive default is evident.

Reliability7 / 20 · 1.8/5

Android and iOS cover the basic load, callback, display, and build-verification sequence, and Android flags callback threading. However, there are no complete reproducible examples, initialization prerequisites, lifecycle guidance, retry policy, duplicate-display handling, or robust abnormal-input feedback, and SDK versions are unspecified; static evidence supports only a modest score.

Adaptability8 / 15 · 2.7/5

The name and description clearly target Google Mobile Ads rewarded ads on Android or iOS and explicitly exclude rewarded interstitials. The workflow asks for clarification when the platform is unclear, but it does not define broader non-fit cases, project-environment requirements, Chinese-language support, or mainland-China reachability, limiting trigger precision and environment-fit evidence.

Convention8 / 15 · 2.7/5

The skill has a clear SKILL.md, separate Android and iOS reference files, version 1.0.0 metadata, a category, and a progressive workflow. Repository context supplies Apache-2.0 licensing, installation, issue reporting, and contribution paths. Points are deducted for no changelog, named maintenance responsibility, SDK compatibility matrix, FAQ, complete examples, or explicit update policy.

Effectiveness6 / 15 · 2.0/5

The core sequence covers loading, event callbacks, user choice, showing the ad, and build checks; Android API signatures and platform-specific cautions add practical value for basic integration. However, missing initialization context, test-ad configuration, complete code, reward consistency, and show-failure handling mean substantial project-specific rework remains.

Verifiability4 / 10 · 2.0/5

The files provide concrete Android API signatures, a threading assertion, build commands, and official-document fallback paths, giving limited auditability. This review is static only: there is no executed evidence, committed test suite, or corroboration across sources, and the referenced external documentation is not included; the static ceiling therefore applies.

Evidence confidence:Low Reviewed Jul 20, 2026 Reviewed revision 513a7a51e85f
The upstream repository has new commits since this review. The score still applies to the reviewed revision shown and may not cover the latest changes.
Before you use it
  • Before adoption, verify that the documented Android/iOS GMA SDK APIs still match the project's current SDK versions, and add initialization, test-ad units, lifecycle, idempotent reward, and failure/retry handling.
  • Separately assess ad-SDK data collection, consent, regional compliance, and mainland-China reachability; these areas are not covered by the skill.
  • Android requires moving all UI work from SDK callbacks to the main thread; this assertion was not execution-tested in this static review.
Review evidence [1][2][3][4][5][6]
See the full review method →

What does this skill do, and when should you use it?

This skill provides implementation, integration, and configuration guidance for Google Mobile Ads SDK rewarded ads in Android and iOS mobile applications. It first requires the platform and ad placement to be identified, then directs the client to the relevant platform guide. Its workflow covers loading the ad, registering event callbacks, adding an opt-in UI, showing the ad, and verifying the implementation. It explicitly excludes rewarded interstitial ads.

Identifies whether the project is Android or iOS; confirms the target file for ad placement; reads references/android-rewarded.md or references/ios-rewarded.md; and guides the user through loading the ad, registering ad event callbacks, adding an opt-in UI element, showing the ad, and verifying the implementation.

  1. An Android developer needs to add ads that users explicitly choose to watch for in-app rewards.
  2. An iOS developer needs platform-specific guidance for configuring Google Mobile Ads SDK rewarded ads.
  3. A team wants a checklist covering ad loading, callbacks, opt-in UI, display, and verification.
  4. A developer is unsure which target file should contain the rewarded ad implementation.

What are this skill's strengths and limitations?

Pros
  • Covers rewarded ad implementation for both Android and iOS.
  • Uses a clear five-step workflow.
  • Requires placement review and an explicit user opt-in before showing the ad.
Limitations
  • The supplied source does not include the Android or iOS reference-guide contents or code examples.
  • No test suite, automated verification script, or SDK version requirement is documented.
  • The scope excludes rewarded interstitial ads.

How do you install this skill?

Install the repository's skill collection with npx skills add google/skills. Select this skill during installation. The source does not document a separate command, client directory layout, or version-management procedure for installing only this skill.

How do you use this skill?

In a client where the skill is loaded, use a prompt such as: “Integrate Google Mobile Ads SDK rewarded ads into my Android app.” State whether the project is Android or iOS and identify the target file for the ad placement; the skill should ask when either detail is unclear. Do not use it for rewarded interstitial ads. The source does not include the contents of the platform reference guides, so their detailed implementation steps are undocumented here.

FAQ

Does this skill include the Google Mobile Ads SDK?
No. It provides implementation guidance. The source does not document SDK installation dependencies or pricing.
Can it handle rewarded interstitial ads?
No. The SKILL.md explicitly says not to use it for rewarded interstitial ads.
What information should I provide before using it?
Identify the project platform, Android or iOS, and the target file for ad placement. The skill should ask when either is unclear.
Will it automatically edit or verify my application?
The source describes guided verification but provides no evidence of automatic code changes, test execution, or external service calls.

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