scitex-python: A Python toolkit — AI for Science

by scitex-ai · MCP Server · ★ 86

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

Security audit verdict: SAFE · quality 68/100

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.

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.

academic-writingai-for-sciencebibtexdata-visualizationlatexliterature-reviewmachine-learningmatplotlibmcpmcp-server

Quick Facts

Stars86
Forks20
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score68/100
Open Issues4
Last Updated2026-11-05
Created2025-06-13
Platformsmcp, python
Est. Tokens~23k

About scitex-python

SciTeX (scitex) Python Library for Science. For AI and Human Researchers Docs · Quick Start · API · pip install scitex[all]

Compatible Skills

These tools work well together with scitex-python for enhanced workflows:

  • scitex-python — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • Auto-Research-Skills — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (73%)
  • FigMirror — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • af-deep-research — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)

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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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