Scientific Agent Skills

by K-Dense-AI• 56k•• Scanned•Claim this listing•Request removal
Database Managementagent skillsai scientistbioinformaticschemoinformaticsclaude

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

Scientific Agent Skills is an open-source agent skill by K-Dense-AI, written mainly in Python, with 55,606 GitHub stars and the MIT license. Its code was last updated Oct 26, 2026.

Scan summary: scanned Nov 5, 2026 at commit a25cf9e. Seen able to connect to the internet. Scan policy

Scanned
Full scan at a25cf9e · Nov 5, 2026
Scanned Builds
Static code scanwarn
Secrets scanpass
Dependency audit6 known vulnerabilitiesfail
Manifestnonewarn
Buildpass
Boot & handshaken/a
Network egresswarn
Reproducible (×3)n/a

Findings (8)

  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • medium
    Install contacted hosts other than package registries
    releases.astral.sh
  • low
    Possible example credential in docs/tests: curl-auth-header
    5 matches in this file
    skills/database-lookup/references/noaa.md:47
  • low
    Possible example credential in docs/tests: generic-api-key
    tests/dnanexus-integration/test_scripts.py:407
  • low
    Possible example credential in docs/tests: generic-api-key
    tests/autoskill/test_redact.py:97
  • low
    Possible example credential in docs/tests: private-key
    tests/autoskill/test_redact.py:78
  • low
    idna@3.9.0: 2 known vulnerabilities
    PYSEC-2026-215, PYSEC-2026-215
    skills/opentrons-integration/requirements-flex.txt
  • low
    No manifest declaring network access and environment variables (agent.json)

Network activity

During install
files.pythonhosted.orgpypi.orgreleases.astral.sh
While running
Not run — the code wasn't started in this scan

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