Agent Skills
› Companion-Inc/feynman
› autoresearch
autoresearch
GitHub自动化研究实验循环，用于假设验证、基准测试及迭代优化模型或检索性能。通过运行实验、记录证据与决策，筛选有效方案并归档失败案例，适用于提升研究指标的场景。
Trigger Scenarios
优化研究指标
运行实验循环
迭代改进模型/检索/评估性能
基准测试研究假设
Install
npx skills add Companion-Inc/feynman --skill autoresearch -g -y
SKILL.md
Frontmatter
{
"name": "autoresearch",
"description": "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."
}
Autoresearch
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
Version History
- 54d08a3 Current 2026-07-25 07:14
