datachain: The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

by datachain-ai · Codex Skill · ★ 2.8k

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

How to install datachain

pip install datachain

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

Security audit verdict: SAFE · quality 62/100

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.

ai-agentsclaude-codecodexdata-context-layerdata-processingharness-engineeringknowledge-basemlopsmultimodalpydantic

Quick Facts

Stars2,830
Forks178
LanguagePython
CategoryCodex Skill
LicenseApache-2.0
Quality Score62/100
Open Issues147
Last Updated2026-11-05
Created2024-06-25
Platformsclaude-code, codex, python
Est. Tokens~16k

About datachain

DataChain - Data Context Layer for Object Storage DataChain is a data context layer for object storage. It gives AI agents and pipelines a typed, versioned, queryable view of your files - what exists, what schema it has, what's already been computed - without copying data or loading it into memory.

Compatible Skills

These tools work well together with datachain for enhanced workflows:

  • nexent — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • dlt — semantic(0.47)+complementary+same_lang+similar_pop+shared_platform (62%)
  • hive — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • DataDesigner — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (60%)
  • datagouv-mcp — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)

datachain alternative? Top 6 similar tools

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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:

View on GitHub → Browse Codex Skill tools