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SKILL verified Apache-2.0 Self-run

Setup Espresso

skill-appium-skills-setup-espresso · by appium

Prepare and verify Appium Espresso by validating Node/Appium, Android SDK and Java prerequisites, driver installation, doctor output, and server smoke evidence. Use after the setup Skill selects Espresso. Do not use for an existing Espresso runtime failure after prerequisites pass; this repository does not provide that troubleshooting workflow.

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Install

$ agentstack add skill-appium-skills-setup-espresso

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-appium-skills-setup-espresso)

Reliability & compatibility

✓ Security review passed
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● 18d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Espresso Setup Workflow

Espresso setup routing and handoffs

Prepare only the Espresso route. Use driver-specific official guidance for an existing Espresso runtime failure after setup passes. Load FFmpeg or bundletool only when the user explicitly requested that capability.

Required inputs

Confirm Android as the target, global appium mode or explicitly requested local npx appium mode, host OS, device or emulator expectations, permissions, and optional dependency requests.

Workflow outline

  1. Load the global command profile by default or the local profile only when

explicitly requested.

  1. Load the Android profile, shared Appium setup basics, and Android emulator

setup Context.

  1. Load the Espresso decision, installation, doctor, and smoke references in

that order.

  1. Run node tools/appium/setup/scripts/check-espresso-env.mjs; pass

--appium-mode local only for local mode. Apply required fixes in technical dependency order and rerun the affected check after each fix.

  1. Run the Espresso doctor and server smoke checks. Load the matching example

only when it clarifies execution.

Espresso setup safety and approval constraints

  • Preserve the selected command mode and working Java, Android SDK, device,

emulator, and Espresso installations.

  • Ask before optional FFmpeg or bundletool setup, privileged commands, SDK

license changes, Espresso build changes, or emulator creation that changes local state.

Completion criteria

  • Android environment completion criteria pass.
  • Appium succeeds in the selected command mode.
  • The installed driver list includes espresso.
  • appium driver doctor espresso reports 0 required fixes needed; optional

warnings are non-blocking.

  • /status succeeds, server logs list espresso, and cleanup leaves no Appium

server process.

Evidence boundary

Report Appium and Espresso versions, helper requiredOk, Android prerequisite summary, doctor required/optional summary, /status, server driver evidence, cleanup, and explicitly requested optional capability results.

Self-Improvement Prompt

Before the final response, report any missing, ambiguous, outdated, or retry-causing Espresso setup instruction with its asset path and proposed wording. Leave unrelated assets unchanged.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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