skills/autoresearch/SKILL.md
Bounded research experiment loop that tries hypotheses, measures benchmark evidence, keeps what works, and records what fails. Use when the user asks to optimize a research metric, run an experiment loop, improve model/retrieval/evaluation performance iteratively, or benchmark a research hypothesis.
npx skillsauth add getcompanion-ai/feynman autoresearchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Run the /autoresearch workflow. The slash command expands the full workflow instructions in the active session; do not try to read a relative prompt-template path from the installed skill directory.
Optional tools used when visible: init_experiment, run_experiment, log_experiment. Without those tools, run the benchmark through the available shell/tooling and record benchmark result, evidence, and decision in the session files.
Session files: autoresearch.md, autoresearch.sh, autoresearch.jsonl
development
Call a configured Feynman model endpoint and interpret its response. Use when a task needs inference from a registered endpoint, remote model API, local model service, or custom connector-backed predictor.
data-ai
Design or screen protein sequences for solubility-aware constraints with SolubleMPNN-style workflows. Use when a task asks for soluble protein design, expression-friendly variants, or solubility risk filtering.
data-ai
Create or revise Feynman skills. Use when a research workflow needs a reusable on-demand capability, skill metadata, trigger wording, references, scripts, or skill validation.
tools
Inspect the active Feynman workbench session, artifacts, execution log, settings, and provenance. Use when the task asks what happened in this session, which files were written, what tools ran, or what remains unverified.