One Forge, All Skills: A curated skill collection for academic writing and research. 点开即用，按需配置的一站式学术研究skills平台。

A framework for discovering, compiling, and validating reusable skills for scientific agents.

A verifier-gated research platform for skill transfer in scientific agents for systems biology.

Trustworthy biomedical tool-using agent with task-conditioned planning, execution-grounded verification, and traceable repair.

AI-for-Science portfolio & research-intelligence workspace — scientific agents, RAG, evaluation, on a 14-yr Argonne battery-materials record · sciencesloop.com

Auditable SciForge × BioGym de novo protein-design run: RFdiffusion → ProteinMPNN → Boltz-2

🧬 AI Genomics Research Platform Bioinformatics system powered by AI to detect genetic diseases from a patient’s DNA using: LLMs, Graph Database, Scientific agents, Bioinformatics pipelines

Evidence and permission for autonomous labs: expert QC gates, workcell orchestration, provenance, recovery, and honest hardware boundaries.

🔬 Autonomous Bayesian scientific agent — MCMC analysis, uncertainty quantification, and permanent decentralized archiving. The reproducibility layer for DeSci.

Evidence-grounded scientific agents with replayable evaluation and human review — the public integration + evaluation layer for AI-for-science workflows.

Open Earth remote-sensing MCP server that lets AI agents discover geospatial data and run tools for STAC, Sentinel-2, nightlights, water mapping, spectral indices, and SAR metadata.

Process traces for evaluating AI scientist workflows | ICML 2026 AI4Science Dataset Competition | 432 trajectories from GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro

Auditable MCP tools for PyLabRobot: run and sample context, typed provenance, simulation by default, and explicit hardware permission.

Scientific-agent trace validation and reward-data prototype for AI-for-science workflows.

Evidence-first scientific agents across virtual screening, molecule design, protein ensembles, and tool governance.