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SkillsMP has collected 10 skills from ProfSynapse/Epistemic-Humility-Research. Open a skill to review its source and details.
Showing 10 of 10 collected skills.
Lifecycle tooling for the experiments-first repo layout, with one self-contained directory per evidence-producing experiment, signed amendment, machine-readable manifest, pinned instrument, and generated index. Use to scaffold, sign, inspect, resolve,…
Operational runbook for the Epistemic-Humility Locked Matrix Experiment Runner - expands the PROTOCOL v0.3 (LOCKED) run matrix (3-seed headline + LR/beta sensitivity panel at 4B, 3-seed confirm at 8B, 2 bridge replication cells) into per-cell tuner…
Task-backlog lifecycle tooling for the Epistemic-Humility-Research repo - one markdown file per task under backlog/{tasks,drafts,completed}, a bin/task CLI (new/list/show/claim/release/review/done/validate), a generated TODO.md table, and a pre-commit commit…
Package a terminal experiment's data exhaust (aggregate stats and, where license-permitted, row-level generation text) into reproducible Hugging Face datasets, with a license gate, containment lint, and a thin uploader. Use when an experiment under…
Ingest a research paper (or a batch) into the library's atomic knowledge graph the Agents-K1 way. Use when you are handed a paper (URL, arXiv id, or a note already in library/) and you want it folded in as typed concept atoms, mechanisms, lineage edges, and a…
Create, validate, normalize, export, and analyze typed Obsidian knowledge graph metadata in the Professor Synapse vault, including `kg` node metadata, `relationships` edge objects, `related` link projections, ontology-governed edge types, legacy relationship…
Execute the downstream wrap-up after a signed experiment produces its terminal numbers and the LEAD has adjudicated the verdict - write the AMENDMENT Outcome, run bin/exp resolve, update the cross-experiment registries (family-layer-map for atlas cells,…
Author, organize, and launch tuner-backed mechanistic-interpretation cells (activation reading and writing) for the Epistemic-Humility project. Use when designing a new steering / extraction / probe-fit / gate-scoring cell, deciding where its config,…
Standardize the per-model layer-mapping extraction (full-depth hidden-state capture, workspace-dimension profile, three-axis held-out read panel) so any new model, family, or size entering the Epistemic-Humility program gets a fast, cheap, uniform layer atlas…
Run, plan, validate, or aggregate Epistemic-Humility local mechanistic-interpretability sweeps, including hidden-state candidate inventories, causal-pilot sweep planning, explicit non-GPU/GPU gates, base-original skip handling, and offline result aggregation.…