pi-research-workbench

Audit supplied research data for identity, provenance, schema, missingness, duplicates, impossible values, temporal and unit consistency, leakage, and transformation traceability. Use before analysis to determine data readiness without claiming to detect fabrication.

Build a traceable evidence foundation for research claims from user-provided sources and retrieval tools that are actually available. Use for literature grounding, source identity checks, claim-evidence mapping, evidence gaps, and creation of the canonical evidence-ledger.json sidecar.

Stress-test a manuscript by mapping supplied evidence to scientific concerns, consequences, and revision locations. Use for structured scientific critique, aspect-coverage audits, unresolved-concern tracking, and fatal-major-minor prioritization without impersonating an editor or reproducing peer-review corpora.

Create an editable evidence-bounded manuscript draft from supplied research material and the journal pack selected by the Pi extension. Use for journal-shaped section planning and drafting while preserving missing evidence as explicit placeholders and keeping current author-instruction checks unresolved.

Triage a manuscript and supplied submission files for package completeness, declarations, claim-to-evidence traceability, and prioritized blockers. Use before pre-review or packaging when a manuscript, excerpt, file inventory, evidence ledger, or journal requirements are available.

Run an evidence-first pre-submission review across design, data, methods, statistics, results, claims, reproducibility, ethics, and journal-pack rules. Use after manuscript preflight to create a prioritized revision board without predicting editorial acceptance.

Convert an editor decision and reviewer comments into a complete traceable revision ledger, evidence-bounded response draft, and verified manuscript change log. Use for major or minor revision, point-by-point responses, resubmission planning, and revision coverage audits.

Convert a qualified research brief and evidence ledger into a testable study-design contract with an explicit estimand, measurement plan, bias analysis, analysis plan, falsifiers, and governance gates. Use after topic qualification and before data analysis or manuscript drafting.

Assemble and validate a local submission package against supplied evidence and the journal pack selected by the Pi extension. Use after pre-review and revision closure to create a traceable file manifest, declaration audit, rule checks, and a human-upload gate without submitting externally.

Explore one to three evidence-bounded research directions, apply non-compensable qualification gates, and build a scientific story only for a direction that can continue or pivot credibly. Use for topic selection, question refinement, feasibility triage, gap mapping, falsifier design, and early go-pivot-stop decisions.