github Go analyzed aa2ec6e

adrianolaselva/dataql

github

SQL queries on CSV, JSON, Parquet, Excel files. Query S3, databases, URLs. Built for LLM integration with MCP server and Claude Code skills.

maintainer
adrianolaselva
licence
MIT
first seen
2026-06-26
last seen
2026-06-26
releases · 30d
0
short id
risk 7/100 · heuristic grade
A minimal inferred analyzer v33 (current)
  • tool safety inferred + 12
  • trust mitigators mixed − 5

inferred mixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

grade last moved 1w ago · see ecosystem CVEs →

risk trajectory 2 movements
  • B · 19 A · 7
  • A · 0 B · 19
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. high dangerous code

    committed secret: committed .env

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit aa2ec6e · analyzer v33 · 5d ago

skills & prompt files 30

danger signals1

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:adrianolaselva/dataql/badge.svg)](https://mcpobservatory.com/servers/github:adrianolaselva/dataql/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of adrianolaselva.