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/verification

Use before claiming any task is complete. Requires running actual verification commands and showing evidence — no "should work" claims without proof.

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openmetadata
15k24 skills
Install
$ npx -y skills add open-metadata/OpenMetadata --skill verification --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/verification

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use before claiming any task is complete. Requires running actual verification commands and showing evidence — no "should work" claims without proof.

SKILL.md

verification.SKILL.md
name: verification
description: Use before claiming any task is complete. Requires running actual verification commands and showing evidence — no "should work" claims without proof.
user-invocable: true

Verification Before Completion

No completion claims without fresh verification evidence.

Core Rule

**Never say "done", "should work", "looks correct", or "this fixes it" without running the verification commands and showing the output.**

Verification by Change Type

Schema Changes (`openmetadata-spec/`)

# 1. Regenerate models
make generate

# 2. Verify Java compilation
mvn test-compile -pl openmetadata-spec,openmetadata-service

# 3. Verify Python models
source env/bin/activate && cd ingestion
python -c "from metadata.generated.schema.entity.services.connections.<module> import <Model>; print('OK')"

# 4. If connection schema: verify UI schema resolution
cd openmetadata-ui/src/main/resources/ui && yarn parse-schema

Java Backend Changes

# 1. Format
mvn spotless:apply

# 2. Compile
mvn test-compile -pl <module>

# 3. Run relevant tests
mvn test -pl <module> -Dtest=<TestClass>

# 4. For API changes: run integration tests
mvn verify -pl openmetadata-integration-tests -Dtest=<IntegrationTestClass>

Python Ingestion Changes

source env/bin/activate && cd ingestion

# 1. Format (apply) then lint check (verify)
make py_format
make py_format_check

# 2. Type check
make static-checks

# 3. Run unit tests
python -m pytest tests/unit/<relevant_test>.py -v

# 4. For connector changes: run connector-specific tests
python -m pytest tests/unit/topology/<service_type>/ -v

Frontend Changes

cd openmetadata-ui/src/main/resources/ui

# 1. Lint
yarn lint

# 2. Type check
npx tsc --noEmit

# 3. Run unit tests
yarn test <path/to/changed/component>

# 4. For significant UI changes: run Playwright tests
yarn playwright:run --grep "<relevant test>"

Evidence Format

When reporting completion, include:

## Verification Results

### Commands Run
1. `mvn spotless:apply` — completed, no formatting changes needed
2. `mvn test -pl openmetadata-service -Dtest=MyTest` — 5/5 tests passed
3. `yarn lint` — no errors

### Test Output
[paste relevant test output showing PASS]

What Counts as Evidence

  • Test runner output showing PASS
  • Build output showing SUCCESS
  • Lint/format output showing no errors
  • API response showing expected data
  • Screenshot or description of UI rendering correctly

What Does NOT Count as Evidence

  • "I reviewed the code and it looks correct"
  • "This follows the same pattern as X, so it should work"
  • "The logic is straightforward"
  • "I've made similar changes before"
  • No output at all — just claiming it's done
Read more
Ships withopenmetadata

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

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Repo: open-metadata/OpenMetadata

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