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autoresearch

Name: autoresearch
Author: thomas-security

作者 Thomas · GitHub ↗ · v1.0.2 · MIT-0

cross-platform ⚠ suspicious

3034

总下载

当前安装

版本数

在 OpenClaw 中安装

/install autoresearch

功能描述

Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments — optimizing hyperparameters, searching for better configurat...

安全使用建议

Use only in a clean disposable branch or worktree. Before running, set explicit writable files, allowed commands, maximum experiment count, total runtime, resource limits, and whether spawned sessions are allowed. Back up or commit local work first, and avoid automatic `git reset --hard` unless you accept possible loss of uncommitted changes.

能力评估

ℹ Purpose & Capability

The requested write/edit/exec/git capabilities fit the stated purpose of iterative experiments, metrics, and rollbacks, but they are high-impact repository mutation powers.

⚠ Instruction Scope

Setup asks the user to define target files, metrics, commands, and constraints, but the run phase says to continue indefinitely and not ask permission to continue; trigger phrases such as "optimize" and "find the best config" are broad for this level of autonomy.

✓ Install Mechanism

The artifact contains markdown instruction files only, with no executable installer, bundled scripts, or install-time behavior.

⚠ Credentials

Running user-configured commands and modifying target files are purpose-aligned, but automatic `git reset --hard HEAD~1` can discard unrelated uncommitted work if the repository is not clean or isolated.

⚠ Persistence & Privilege

There is no install-time persistence or privilege escalation, but the skill permits spawned sessions and explicitly instructs an indefinite autonomous loop, creating resource-use and background-activity risk.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install autoresearch
安装完成后，直接呼叫该 Skill 的名称或使用 /autoresearch 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.2

No changes detected in this version.

v1.0.1

- Initial release of autoresearch skill for autonomous experiment protocols. - Added interactive setup to define experiment scope, metric, files, run commands, and constraints. - Supports systematic experiment loops: hypothesis, single change, run, measure, and record. - Uses git for change tracking and results.tsv for experiment logging. - Enforces disciplined one-variable-at-a-time changes and efficient rollback on failure. - Includes built-in logic for committing, discarding, or reverting changes based on metric improvement.

v1.0.0

- Initial release of the "autoresearch" skill. - Protects against prompt injection, data exfiltration, and malicious commands using MoltGuard. - Easy installation with 500 free security detections per day. - Includes status, configuration, claim, dashboard, and update commands. - Supports onboarding for individuals and enterprise users. - Detailed documentation for installation, testing, updating, and removal.

元数据

Slug autoresearch

版本 1.0.2

许可证 MIT-0

累计安装 42

当前安装数 42

历史版本数 3

常见问题

autoresearch 是什么？

Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments — optimizing hyperparameters, searching for better configurat... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 3034 次。

如何安装 autoresearch？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install autoresearch」即可一键安装，无需额外配置。

autoresearch 是免费的吗？

是的，autoresearch 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

autoresearch 支持哪些平台？

autoresearch 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 autoresearch？

由 Thomas（@thomas-security）开发并维护，当前版本 v1.0.2。