Automate iterative keep/discard experiment loops over a configured repository.
npx skills add https://github.com/jimezsa/opencolab --skill autoresearch-jimezsa
Please help me install this Agent Skill. Skill: autoresearch Source: https://github.com/jimezsa/opencolab/tree/main/projects/SKILLS/autoresearch Command: npx skills add https://github.com/jimezsa/opencolab --skill autoresearch-jimezsa
Iterative keep/discard experiment loops over a single, explicitly configured repository, enabling disciplined, human-in-the-loop experimentation without manual drift.
Configure the repo_path, editable_file_path, run_command, and metric_rule, then run a single bounded autoresearch loop to evaluate results.
High-intent search queries and answers about installing and using this skill.
You can automate iterative experiment loops by configuring a repository path, a single editable file, a run command, and a metric rule to execute bounded cycles and record outcomes.
Managing keep or discard decisions is handled by running one experiment at a time over disposable branches, enforcing repo confinement, and recording structured outcomes to inform next steps.
No, you cannot run multiple experiments simultaneously; the automation enforces running one experiment at a time and restricts edits to a single configured editable file.
Providing a results file is necessary for recording outcomes; the automation evaluates the configured metric rule and writes the experiment results to the specified file when provided.
Limitations include strict repo confinement, restriction to a single editable file, running only one experiment at a time, and requiring disposable branches for controlled bounded cycles.
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