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android-tester Skill

AI Agent SkillPythonOpen source

Execute Android UI workflows on a sandbox device, review results, and produce a structured execution report. Published by microsoft in Sico.

Decision snapshot

Is this a fit?

Best for

Testing, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is android-tester Skill?

Execute Android UI workflows on a sandbox device, review results, and produce a structured execution report. Published by microsoft in Sico. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
47/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Design and media
  • Testing use cases
  • Design and media use cases

Declared skill metadata

  • Source file: backend/internal/embeddata/skills/android-tester/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use android-tester Skill

  • Use it for testing.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/Sico
  • Skill file: backend/internal/embeddata/skills/android-tester/SKILL.md

What it does

Execute Android UI workflows on a sandbox device, review results, and produce a structured execution report.

Skill instructions

Android Tester Skill Execute an Android UI test case, review the results, and generate a structured execution report. When to use - Run end-to-end Android UI tests from natural language instructions - Verify app workflows on an Android emulator sandbox - Produce structured test execution reports Workflow 1. Environment preparation: install dependencies in the execution environment 2. Run test case(s): execute android-tester against the sandbox device for each test case 3. Review & execution report: review all results and produce a single regression testing delivery report 4. Summarize: give the user a short summary of the testing outcome and recommendation for release --- 1. Environment Preparation Prerequisites - An allocated Android sandbox (emulator device reachable via ADB) - python = 3.11 - uv Dependencies From the skill root directory ($SKILLROOT), run: sh uv sync sh scripts/install-adb.sh --- 2. Run Test Case Preconditions You MUST use --precondition whenever a test case has a p

Verified compatibility and discovery

Frequently asked questions

What is android-tester?

android-tester is a open-source AI agent skill with Copy skill directory. Execute Android UI workflows on a sandbox device, review results, and produce a structured execution report.

Who is android-tester best for?

android-tester is best for reusing agent instructions, scripts, and references, testing workflows, design and media workflows.

How do I install android-tester?

Install or run android-tester using Copy skill directory. Check android-tester for the latest setup command.

Is android-tester actively maintained?

android-tester may need a closer maintenance check before production use.

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Stars
81
Forks
8
Last commit
2 months ago
Last verified
Aug 30, 2026
Metadata fetched
Aug 30, 2026
Repository age
6 months
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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