altimate-code: Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses

by AltimateAI · Agent Tool · ★ 817

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: MCP Database Tools

How to install altimate-code

npm install -g altimate-code

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentagentic-data-engineeringaianalytics-engineeringbigqueryclidata-engineeringdatabricksdbtfinops

Quick Facts

Stars817
Forks128
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score71/100
Open Issues311
Last Updated2026-11-06
Created2026-02-27
Platformscli, node
Est. Tokens~17k

About altimate-code

The open-source data engineering harness. The intelligence layer for data engineering AI — 100+ deterministic tools for SQL analysis, column-level lineage, dbt, FinOps, and warehouse connectivity across every major cloud platform. Run standalone in your terminal, embed underneath Claude Code or Codex, or integrate into CI pipelines and orchestration DAGs. Precision data tooling for any LLM.

Compatible Skills

These tools work well together with altimate-code for enhanced workflows:

  • bonnard-cli — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • orionbelt-semantic-layer — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (59%)
  • WrenAI — semantic(0.17)+complementary+rare_topics+same_lang+shared_platform (54%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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