OpenMetadata is an open platform that organizes information about data, including its meaning, ownership, quality, history, and relationships. It provides governed context for data users, AI assistants, and agents that need to discover and understand trustworthy data.
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 open-metadata/OpenMetadata --skill systematic-debugginggit clone --depth 1 https://github.com/open-metadata/OpenMetadataWrote 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/open-metadata/openmetadata/systematic-debugging)<a href="https://agentmods.dev/skills/open-metadata/openmetadata/systematic-debugging"><img src="https://agentmods.dev/badge/skills/open-metadata/openmetadata/systematic-debugging/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/open-metadata/openmetadata/systematic-debugging"><img src="https://agentmods.dev/badge/skills/open-metadata/openmetadata/systematic-debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.01025 |
| Opus 5.5 | $0.00015 | $0.00410 |
| Sonnet 5.5 | $0.00007 | $0.00205 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
systematic-debugging 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systematic Debugging for OpenMetadata
Structured 4-phase debugging process. Stops you from guessing and forces root cause identification.
When to Use
- Test failures with unclear cause
- Build errors after dependency or schema changes
- Runtime exceptions in backend, frontend, or ingestion
- Issues that persist after 2+ fix attempts
Phase 1: Gather Evidence
Do not change any code yet. Only observe and collect data.
- Read the full error — not just the last line. Stack traces, build logs, test output.
- Reproduce reliably:
# Java mvn test -pl <module> -Dtest=FailingTest#failingMethod # Python source env/bin/activate && cd ingestion python -m pytest tests/unit/path/to/test.py::test_name -v # TypeScript cd openmetadata-ui/src/main/resources/ui yarn test path/to/test.spec.ts # E2E yarn playwright:run --grep "test name" - Check what changed recently:
git log --oneline -20 git diff HEAD~5 -- <relevant-directory> - Document findings: Write down the exact error, when it started, and what you've observed.
Phase 2: Form Hypotheses
Based on the evidence, list 2-3 possible causes ranked by likelihood:
1. [Most likely] Schema change in X broke generated model Y
Evidence: error mentions field Z, git log shows schema modified 3 commits ago
2. [Possible] Dependency version mismatch after recent upgrade
Evidence: ClassNotFoundException for new API
3. [Unlikely] Test environment state pollution
Evidence: test passes in isolation but fails in suite
Do not jump to fixing yet. Verify the top hypothesis first.
Phase 3: Verify Root Cause
Test your top hypothesis with the smallest possible experiment:
- Read the suspected code — don't guess what it does
- Add targeted logging or use a debugger if needed
- Check one hypothesis at a time — don't make multiple changes simultaneously
Common OpenMetadata Root Causes
| Symptom | Likely Cause | Verification |
|---|---|---|
ImportError in Python |
Models not regenerated after schema change | make generate then retry |
TypeScript compile error on generated types |
Schema changed, types not rebuilt | yarn parse-schema then retry |
Java NullPointerException in entity |
Missing field in Flyway migration | Check bootstrap/sql/migrations/ |
| Test passes alone, fails in suite | Shared state mutation between tests | Run with --forked (Java) or -x (pytest) |
404 Not Found on API endpoint |
Missing @Path annotation or route config |
Check resource class registration |
| UI component renders blank | Missing i18n key | Check locale/languages/en-us.json |
Connection refused in integration test |
Docker service not running | docker compose -f docker/development/docker-compose.yml ps |
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 · 103 lines · 37 tokens per session scan A a8759f5a3d97
systematic-debugging is a skill published in the GitHub repository open-metadata/OpenMetadata (15,500 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 1,025 once invoked, about $0.0001 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 2026-08-30.
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