WILLOSCAR/research-units-pipeline-skills
A file-first research execution system that uses AI models as semantic judgment providers within structured pipeline workflows.
Not currently ranked — collecting fresh signals.
star history
This project provides a multi-layer harness for converting open-ended research goals into protocolized execution with durable artifacts and evaluable evidence surfaces. It structures research as units with declared inputs/outputs, acceptance criteria, and guardrails. The system combines a workflow protocol layer, execution ledger, evidence loop for run validation, and a capability surface with reusable AI-driven skills. It is designed to make AI-assisted research auditable, resumable, and improvable through visible contracts and structured intermediate artifacts.
Frequently asked
- What is WILLOSCAR/research-units-pipeline-skills?
- A file-first research execution system that uses AI models as semantic judgment providers within structured pipeline workflows.
- Is research-units-pipeline-skills open source?
- Yes — WILLOSCAR/research-units-pipeline-skills is an open-source project tracked on heatdrop.
- What language is research-units-pipeline-skills written in?
- WILLOSCAR/research-units-pipeline-skills is primarily written in Python.
- How popular is research-units-pipeline-skills?
- WILLOSCAR/research-units-pipeline-skills has 477 stars on GitHub.
- Where can I find research-units-pipeline-skills?
- WILLOSCAR/research-units-pipeline-skills is on GitHub at https://github.com/WILLOSCAR/research-units-pipeline-skills.