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orionbelt-analytics

Skill Data & Analytics Poor
Works inClaude Code
Poor Scanned — metadata only

Eliminates ambiguous SQL generation by mapping database schemas to formal ontologies, reducing fan-trap errors and hallucinated joins that break analytics qu…

Ontology-based MCP server that analyzes database schemas (PostgreSQL, Snowflake, ClickHouse, Dremio) and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL.

45 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Eliminates ambiguous SQL generation by mapping database schemas to formal ontologies, reducing fan-trap errors and hallucinated joins that break analytics queries. Enables reliable Text-to-SQL on complex multi-table databases.

Data teams and analytics engineers building LLM-powered query interfaces over PostgreSQL, Snowflake, ClickHouse, or Dremio who need guaranteed semantic correctness.

Claude Code Claude Cowork Claude Chat

https://github.com/ralfbecher/orionbelt-analytics

By ralfbecher

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install ralfbecher/orionbelt-analytics

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me auto-generate accurate SQL from natural language questions on star schemas
CostFree

Trust Signals Auto-scanned

Stars45Contributors2Last updated2026-07-21Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 45 GitHub stars; 2 contributors; last commit 4d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.05 / 5.00 PoorEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 45 GitHub stars; 2 contributors; last commit 4d ago; license no license.

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