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 almasumdev/awesome-java-android-agent-skills --skill espresso-javagit clone --depth 1 https://github.com/almasumdev/awesome-java-android-agent-skillsWrote 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/almasumdev/awesome-java-android-agent-skills/espresso-java)<a href="https://agentmods.dev/skills/almasumdev/awesome-java-android-agent-skills/espresso-java"><img src="https://agentmods.dev/badge/skills/almasumdev/awesome-java-android-agent-skills/espresso-java/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/almasumdev/awesome-java-android-agent-skills/espresso-java"><img src="https://agentmods.dev/badge/skills/almasumdev/awesome-java-android-agent-skills/espresso-java.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 | $0.00054 | $0.01586 |
| Opus 5.5 | $0.00022 | $0.00634 |
| Sonnet 5.5 | $0.00011 | $0.00317 |
| Haiku 4.5 | $0.00005 | $0.00159 |
Grade A, and why
espresso-java 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 205 lines · 54 tokens per session scan A f6996e030d41
espresso-java is a skill published in the GitHub repository almasumdev/awesome-java-android-agent-skills (1 stars, last pushed 6mo ago), with no licence file. It adds 54 tokens to every session and 1,586 once invoked, about $0.0002 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 2026-09-01.
Other skills, from other repositories
compose-ui-testing
Expert guidance on Jetpack Compose UI testing with createAndroidComposeRule, semantics matchers, synchronization, and screenshot tests with Paparazzi or Roborazzi. Use this for instrumented and screenshot UI tests.
ios-ui-testing
Expert guidance on XCUITest — accessibility identifiers, robust element queries, screenshot flows, test plans, and CI stability. Use when writing end-to-end UI tests.
device-farms
Expert guidance on running mobile tests on Firebase Test Lab, AWS Device Farm, BrowserStack App Automate, and Sauce Labs. Use when asked to set up device-farm coverage, design a device matrix, or compare vendors.
maestro-flows
Expert guidance on writing, running, and parallelizing Maestro YAML flows for cross-platform mobile E2E testing. Use when adding Maestro coverage, wiring Maestro to CI, or moving off Detox/Appium for smoke flows.
ui-testing-patterns
Compare and apply UI test tooling across mobile — Espresso, XCUITest, fluttertest / integrationtest, Detox, and Maestro. Use when deciding which UI test layer fits a feature and how to structure selectors, waits, and page objects.
flutter-integration-test
Essential scripts and patterns for Flutter integrationtest automation — end-to-end flows, semantic navigation, device farms, and CI. Use this when building or running on-device tests.