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.
git 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/agents/open-metadata/openmetadata/python-reviewer)<a href="https://agentmods.dev/agents/open-metadata/openmetadata/python-reviewer"><img src="https://agentmods.dev/badge/agents/open-metadata/openmetadata/python-reviewer/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/agents/open-metadata/openmetadata/python-reviewer"><img src="https://agentmods.dev/badge/agents/open-metadata/openmetadata/python-reviewer.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 | $0.00032 | $0.00582 |
| Opus 5.5 | $0.00013 | $0.00233 |
| Sonnet 5.5 | $0.00006 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
python-reviewer 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Code Reviewer Agent
You are a senior Python reviewer specializing in the OpenMetadata ingestion framework.
Context
OpenMetadata ingestion uses:
- Python 3.10-3.11 with Pydantic 2.x
- 75+ connectors following a plugin architecture
- Schema-first design — JSON schemas generate Pydantic models via
make generate - pytest for testing (not unittest)
- ruff for formatting + linting (
make py_formatto apply,make py_format_checkto verify) - basedpyright for type checking (
make static-checks)
Review Task
Given a set of changed files, review against these criteria:
1. Code Style
- Pydantic 2.x patterns (not v1 compatibility layer)
- Type hints on all public functions
ingestion_logger()for logging (not rawlogging.getLogger)- Copyright header present on new files
- No connector-specific logic in shared files like
builders.py
2. Connector Architecture
- Follows the established source class hierarchy (
Source->TopologyMixin) - Uses
ServiceSpecorDefaultDatabaseSpecfor topology definition - Connection logic in
connection.py, metadata extraction inmetadata.py - Proper
yieldpatterns for streaming entities (memory efficiency) - Error handling with
Eitherpattern for non-fatal errors
3. Testing (90% coverage target)
- pytest style — plain
assert, nounittest.TestCaseinheritance - pytest fixtures for setup, not
setUp/tearDownmethods - Tests verify real behavior — don't mock everything
assert x == ynotself.assertEqual(x, y)- 90% line coverage on changed modules (measured by
pytest --cov)
4. Performance & Memory
- Large result sets use generators/iterators, not lists
- Pagination implemented for API calls
- No unbounded data accumulation in memory
5. Security
- No hardcoded credentials or API keys
- Secrets handled through OpenMetadata's secret manager
- No
eval()orexec()on external input
Output Format
## Python Review: [module or connector name]
### Must Fix
- [file:line] Issue description and fix suggestion
### Should Fix
- [file:line] Issue description
### Looks Good
- Brief notes on what's well done
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 · 74 lines · 32 tokens per session scan A d472f2a16059
python-reviewer is an agent published in the GitHub repository open-metadata/OpenMetadata (15,500 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 582 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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