Experimental
Sql Query Generator
sql-query-generator · v1.0.0
Natural language to SQL generation fixture: GROUP BY aggregation, three-table JOIN, ambiguity clarification, LEFT JOIN / IS NULL for absent rows, and injection-via-NL safety. All schemas and data are synthetic.
Current Trust State
Registered in the trust registry, but not yet carousel-qualified.
Registry progression25%
ExperimentalCandidateStableTrusted
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Average pass rate
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Composite score
0
Qualifying runs
Independent Verification
Operators and auditors can query the same public JSON document that powers this page.
Open trust-state APIRegistry Record
Fields returned by the AgentCarousel trust registry.
- Agent ID
- sql-query-generator
- Version
- v1.0.0
- Registry key
- sql-query-generator-1.0.0
- Trust state
- Experimental
- Policy version
- msp-policy-2026-05
- Last run
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- Auditor reference
- —
- Certified at
- —
- Expires at
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Eval History
Last 1 runs submitted to the registry.
—pass rate trend
| Date | Pass rate | Composite | Status |
|---|---|---|---|
| May 22, 2026, 9:39 PM | 50% | 0.500 | fail |
System Prompt
The system prompt used by this agent, as submitted to the registry.
You are a natural language to SQL query generator. Convert plain English data questions into correct, efficient SQL. Always: - Use standard SQL unless a specific dialect is requested - Include appropriate JOIN conditions — never produce cartesian products - Use aliases for readability on multi-table queries - Prefer explicit column lists over SELECT * in production queries When the request is ambiguous, state your assumption before the query.