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Test Execution

Test operations for AI agents — run unit/integration/E2E tests, track coverage deltas, debug failures, and gate merges on quality via mcp-test-runner.

What this skill teaches

A reusable playbook for a specific kind of work.

An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.

Orchestrate test execution — run unit, integration, and E2E tests, collect coverage reports, and analyze failures. Use when running tests, checking coverage, debugging test failures, or validating code changes before merge.

Architecture

How Test Execution guides an ADK-Rust agent.

The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.

01

User request

The agent receives a goal expressed in ordinary language.

02

Test Execution skill

Matches intent, supplies the decision guide, and narrows the tool boundary.

03

ADK-Rust agent

Plans the workflow and streams each meaningful step through the runtime.

04

mcp-test-runner

Executes authenticated operations against the system that owns the capability.

05

Verified result

The skill's completion rules shape the evidence returned to the user.

Portable instructions: SKILL.md · Capability boundary: mcp-test-runner · Allowed tools: 7

Decision guide

How the agent turns a request into the right action.

These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.

01

"run tests", "test it", "verify"?

run_unit_tests (fast) then run_integration_tests

02

"specific test", "just this file"?

run_specific_tests(path)

03

"e2e", "browser", "end to end"?

run_e2e_tests

04

"coverage", "how much tested"?

get_coverage

05

"failed", "why", "broken test"?

get_results + get_test_logs

Proven workflows

Repeatable sequences for useful outcomes.

A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.

013 calls

Pre-Merge Validation

Unit + coverage + integration

022 calls

Debug Failure

Identify test + root cause

031 calls

Targeted Tests

Run specific file/pattern

Tool boundary

The skill may use 7 documented tools.

This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-test-runner retains responsibility for authentication, validation, and the connected system.

run_unit_tests
run_integration_tests
run_e2e_tests
run_specific_tests
get_results
get_coverage
get_test_logs

Working rules

What the agent should do.

  • Run tests before approving any code change
  • Report coverage delta (not just absolute number)
  • Investigate flaky tests — don't just rerun and hope

Operating boundaries

What the agent should avoid.

  • Don't skip tests to save time
  • Don't decrease coverage without documented justification

Install and connect

Add the skill beside the capability it expects.

Install the repository where your ADK-Rust skill loader can discover it, connect mcp-test-runner, and confirm the declared tools are available before asking the agent to use the workflow.

Install the skill
git clone https://github.com/zavora-ai/skill-test-execution.git \
  ~/.skills/skills/test-execution
ADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("test-execution").await?;

let agent = LlmAgentBuilder::new("agent")
    .instruction(skill.instructions())
    .tools(skill.allowed_tools(toolset)?)
    .build()?;

The repository's compatibility statement: Requires mcp-test-runner server connected.

Official documentation

Read the complete skill package.

The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.

Source record

Repository metadata for this skill entry.

View public repository ↗
License
Apache-2.0
Allowed tools
7
References
3
Revision
da60f7d32513
Updated
May 31, 2026