YggK-Dense-AI/claude-scientific-skills
↗ GitHubA set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
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Safety Rating A
The repository is a legitimate open-source scientific skills collection maintained by K-Dense Inc. It contains no hardcoded secrets, malicious code patterns, or suspicious dependencies visible from the metadata and README. Notably, the project proactively addresses security concerns by warning users about the risks of agent skills executing arbitrary code, recommending selective installation, and integrating with a dedicated skill security scanner (Cisco AI Defense). The README is transparent about the project's nature, commercial relationship to K-Dense Web, and community contribution provenance. No prompt injection attempts or adversarial content targeting AI analysts were detected.
ℹAI-assisted review, not a professional security audit.
AI Analysis
Claude Scientific Skills is a collection of 136 ready-to-use Agent Skills designed to transform AI coding agents (Claude Code, Cursor, Codex, Gemini CLI) into scientific research assistants. The skills cover domains including bioinformatics, genomics, cheminformatics, drug discovery, proteomics, clinical research, medical imaging, materials science, astronomy, engineering simulation, geospatial analysis, laboratory automation, and scientific communication. Each skill consists of a structured SKILL.md file with curated documentation, code examples, and integration guides for 70+ optimized Python packages and 100+ scientific databases. The project follows the open Agent Skills standard and is maintained by K-Dense Inc., which also offers a hosted platform (K-Dense Web) built on top of these skills.
Use Cases
- Building AI-assisted drug discovery pipelines combining ChEMBL querying, RDKit molecular analysis, and DiffDock virtual screening
- Performing single-cell RNA-seq analysis using Scanpy integrated with public databases like Cellxgene Census
- Interpreting clinical variants by annotating VCF files against ClinVar, COSMIC, and pharmacogenomics databases
- Conducting multi-omics biomarker discovery integrating RNA-seq, proteomics, and metabolomics data
- Automating laboratory workflows using Opentrons liquid handling protocols
- Generating publication-quality scientific figures, reports, slides, and posters
- Analyzing astronomical data, performing quantum computing simulations, and symbolic mathematics
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Security Findings (1)
No prompt injection attempts detected. The README explicitly warns users about potential security risks of agent skills and recommends running Cisco AI Defense Skill Scanner before installing community-contributed skills, demonstrating security awareness rather than malicious intent.
Project Connections
zeroleaks
→ZeroLeaks can be used to test AI agent systems built with Claude Scientific Skills for prompt injection and system prompt extraction vulnerabilities, directly addressing the security concerns the skills repository itself raises about agent skill execution.
free-code
→Both projects target AI coding agent enhancement — free-code modifies the Claude Code CLI while Claude Scientific Skills provides domain-specific skill libraries that Claude Code and similar agents can consume.