K-Dense-AI/scientific-agent-skills

Evolved Hermes into an autonomous 'AI Scientist'.🧪🧬 Integrated @k_dense_ai 's Scientific Agent Skills: 134+ primitives across 17 domains. 🛠️⚡️ Skip the docs & just do the science. Hermes PR: github.com/NousResearch/herm… cc @NousResearch @Teknium @TimothyKassis

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Your AI agent does what its skills tell it to. That's powerful and risky. We've started publishing security scan results for every skill in scientific-agent-skills using @CiscoSecure AI Defense Skill Scanner. We'll address findings as they surface. Open source means open accountability. Full report here: github.com/K-Dense-AI/scient…

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We just released an updated skill for Parallel Web Systems ( @p0 ) as part of our Scientific Agent Skills ecosystem. Now your agent scientist can use the Parallel CLI to perform search, deep search, webpage extraction and data enrichment. Also available in K-Dense BYOK and K-Dense Web. Check it out! github.com/K-Dense-AI/scient…

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You can now install Scientific Agent Skills with the GitHub CLI. More info here: github.blog/changelog/2026-0…

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If you want to let AI agents touch patient data, proprietary molecules, or pre-publication datasets, the runtime matters as much as the model. Breakdown of pairing @nvidia OpenShell's policy-governed sandbox with 133 open Scientific Agent Skills, with worked examples. k-dense.ai/blog/sandboxed-ai…

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Work on our Scientific Agent Skills never stops. Turn your Cursor, Claude Code, Codex, Claude CoWork into a full AI co-scientist running on your own computer. Free and open source. If you don't want to deal with setup use our hosted more powerful platform K-Dense Web!

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Our office hour is happening in 10 min. Join if you have question so Scientific Agent Skills, K-Dense BYOK, K-Dense Enterprise or K-Dense Web. luma.com/n6dgdqi6

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Nueva actualización de Ateneo-KB, inspirada en parte por ideas del repo `scientific-agent-skills` de @KDenseAI. Thanks @k_dense_ai Ahora la ingesta raw preserva original + procedencia, `MarkItDown` pasa a ser el default para PDF y añadí `search trails` reproducibles antes de curar una fuente. Lo importante no es la automatización: gana el investigador. Menos fricción para localizar y convertir; más control humano para decidir qué cuenta como evidencia, qué queda como lectura y qué sigue abierto. Gracias por compartir ese trabajo. github.com/pablomartinezmake…

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scientific-agent-skills is basically a library of ready-made procedural skills for scientific AI agents. Not “knowledge” in the abstract, but packaged ways to actually do work: step-by-step task routines the agent can follow inside real scientific workflows. The repo currently includes 133 ready-to-use skills, is built around the open Agent Skills standard, and is meant to work with agents like Cursor, Claude Code, and Codex. The important part is the abstraction layer. Instead of telling an LLM “analyze this dataset” and hoping it improvises well, you give it a skill that already encodes which libraries to use, what sequence of steps to follow, and what kind of output to return. That is why this kind of project matters: it turns an agent from a generic text model into something closer to a reproducible scientific operator. And the coverage is broad enough to be genuinely useful: genomics, drug discovery, molecular dynamics, clinical research, medical imaging, geospatial science, time-series forecasting, scientific writing, and access to 78+ scientific databases through unified lookup tooling. Each skill comes with a SKILL.md, examples, use cases, and integration guidance. In practice, this is exactly the layer that sits between “LLM can write code” and “agent can reliably do science.” github.com/K-Dense-AI/scient… #AI #AIAgents #ScientificAI #OpenSource #Bioinformatics #DrugDiscovery #MachineLearning #LLM #ResearchTools #ClaudeCode

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