~▸index▸Research Knowledge Work▸Bioinformatics Pipeline Agent▸@github_jaechanghitssciagentski

@github_jaechanghitssciagentski

GitHub project● ALIVE
uid: CP-385AAE · first observed 2026-05-19 · last ping 2h ago

GitHub - jaechang-hits/SciAgent-Skills: Life sciences computational skills for scientific AI agents · GitHub

SECTOR
Research Knowledge Work →
NICHE
Bioinformatics Pipeline Agent →
TYPE
Developer framework
SOURCES
github.com +1
additional metadata
human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial owner
● LIVENESS
100% uptime (7d) · 0 consecutive failures
site endpoint · probed 2h ago · 806ms latency

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product profile
GitHub project · Bioinformatics Pipeline Agent
95/100 · enriched 2026-05-19
what this does

SciAgent-Skills is a GitHub repository containing computational skills for scientific AI agents, specifically focused on the life sciences domain. It provides tools and libraries to enhance AI agent capabilities in scientific research.

This is a collection of code/skills for building AI agents, not a ready-to-use agent or API.

example workflow
  1. Clone the SciAgent-Skills repository from GitHub.
  2. Review the available computational skills for life sciences.
  3. Integrate selected skills into your scientific AI agent framework.
  4. Develop and test AI agents for life science applications.
  5. Contribute improvements or new skills back to the repository.
flow
Developer clones repository → Developer selects skills → Developer integrates skills → Developer builds agent → Agent performs scientific tasks
can I call this?
Maybe. API docs found, no callable endpoint verified.
cost
Freeopen sourcepricing page ↗
who is this for

Developers building AI agents for life sciences research.

developersresearchers
use cases
  • Develop scientific AI agents
  • Integrate life sciences computational skills
  • Build AI tools for research
capabilities
agent frameworkretrievaldeep research
integration
API docs: foundEndpoint: docs foundAgent card: not foundMCP: valid
website ↗docs ↗api docs ↗mcp ↗github ↗
example interaction

Developers building scientific AI agents would integrate these skills into their agent's codebase to add life sciences computational capabilities.

evidence (4 URLs · last checked 2026-05-19)
github.com/github.com/documentationgithub.com/plansgithub.com/developer
snippets: GitHub · Change is constant. GitHub keeps you ahead. · GitHub · Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity. · Search code, repositories, users, issues, pull requests...

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