WILLOSCAR/research-units-pipeline-skills
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
What it solves
Research Harness provides infrastructure to make agent-assisted research inspectable, resumable, and honest. It solves the problem of "black box" research agents that produce a final answer (like a PDF) but leave no trail of evidence, making it difficult to verify which sources support specific claims or to resume work after a failure.
How it works
The system turns a research goal into a file-first, recoverable "Run." It organizes research into focused Skills and explicit Workflows. The process follows a linear progression: Goal $\rightarrow$ Run $\rightarrow$ Evidence $\rightarrow$ Artifact.
Key mechanisms include:
- Pinned Contracts: The system snapshots the pipeline and hashes its components to ensure a Run cannot silently continue if the underlying rules or skills change.
- Evidence-Backed Completion: Success is not just a "DONE" status; it requires agreement between attempts, required outputs, artifact hashes, and workflow checks.
- Bounded Diagnosis: When a contract fails, the system distinguishes between observable defects and the specific repair surface, allowing for targeted improvements rather than rewriting the entire process.
- Human Checkpoints: Users can approve specific artifacts (like an outline or protocol) which are bound to hashes, meaning any change to the approved item revokes the authorization.
Who it’s for
Researchers and developers using AI agents to conduct literature reviews, synthesize studies, or write reports who need a rigorous, verifiable trail of evidence and the ability to recover from failures.
Highlights
- Diverse Workflow Templates: Includes pre-defined workflows for research briefs, paper reviews, evidence reviews, and LaTeX/PDF survey generation.
- File-First Architecture: Maintains a workspace containing the goal, unit state, decisions, and a full provenance trail in a
.harnessfolder. - Strict Integrity Checks: Implements execution integrity and contract acceptance layers to ensure deliverables meet observable workflow checks.
- Automated Diagnosis: Includes tools to diagnose failures and point them back to the smallest repair surface.
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