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OpenAuto - Autonomous Agent
作者
danavfrost
· GitHub ↗
· v1.0.7
· MIT-0
130
总下载
1
收藏
0
当前安装
8
版本数
在 OpenClaw 中安装
/install openauto
功能描述
Proactive, self-improving agent architecture with hardened security. WAL Protocol, Working Buffer, Compaction Recovery, Autonomous Crons, and battle-tested p...
安全使用建议
This skill appears to be what it says: a proactive agent framework that stores and manages local workspace files and includes a benign security-audit script. Before installing: (1) don't place secrets (API keys, passwords) in USER.md, memory files, or other workspace files the agent will read; keep secrets in a properly permissioned .credentials/ directory and verify .gitignore. (2) Review assets/AGENTS.md, TOOLS.md and the security-audit.sh script yourself and only run the audit when you trust the environment (it will read ~/.openclaw/openclaw.json if present). (3) Remember the documented guardrails are advisory — the agent's compliance depends on the model; test in isolation and avoid storing highly sensitive data in the workspace until you're confident in behavior.
能力评估
Purpose & Capability
The name/description (proactive, self-improving agent) matches what the skill does: it reads/writes agent identity, user context, memory, onboarding, tools, and heartbeat files and provides guidance for proactive behavior. No unrelated binaries or external credentials are requested.
Instruction Scope
SKILL.md explicitly lists the workspace files the agent will read/write and limits automatic startup reads to SOUL.md, USER.md, and today's daily notes. That scope aligns with a proactive agent, but the guardrails are advisory (the doc notes they are not technically enforced), so correct behavior depends on the model following instructions. The skill also documents that .credentials/ and ~/.openclaw/openclaw.json are read only on request (e.g., when running the audit script).
Install Mechanism
No install spec is present; the skill is instruction-first with a small included audit script. No downloads or external installers are used, which is the lowest-risk install profile.
Credentials
The skill declares no required environment variables or primary credential. Files it reads/writes are workspace-local and documented. The only non-workspace path referenced (~/.openclaw/openclaw.json) is accessed only when running security-audit.sh, which is consistent with its stated auditing purpose.
Persistence & Privilege
The skill is not force-installed (always: false). It does not request persistent platform privileges or attempt to modify other skills or system-wide settings. Autonomous invocation is allowed by default but not combined with other concerning privileges.
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 openauto - 安装完成后，直接呼叫该 Skill 的名称或使用
/openauto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
v1.0.7
## OpenAuto 1.0.7 Changelog
- Improved filesystem and credential access documentation for clarity and security transparency.
- Clarified that `.credentials/` and `openclaw.json` are never read automatically at startup—access is only on explicit user request.
- Added emphasis on which files are read during automatic startup.
- Updated references to OpenAuto v1.0.7 throughout the documentation.
- No functional changes to code or behavior; documentation and trust model improvements only.
v1.0.6
- Updated filesystem access documentation: added `.credentials/` directory as the expected location for credentials, clarifying that it is user-managed and not written to by the skill.
- Expanded notes on trust and skill metadata: explained that the OpenClaw metadata spec does not support declaring filesystem paths, using a table as a disclosure substitute.
- No functional code or logic changes in this release; documentation only.
- Lowered version to 1.0.6 to reflect alignment with OpenClaw conventions.
v1.0.5
- Corrected documentation.
v1.0.4
openauto v1.1.0
- Added a clear trust model to the documentation, clarifying advisory (not enforced) nature of agent safety rules regarding file access and secret handling.
- Updated documentation to include guidance about not storing credentials or highly sensitive data in workspace files accessible to the agent.
- No functional changes to code or file access; documentation improvements only.
- Added support for OpenMem memory management.
v1.0.3
Documentation updated to reflect operations.
v1.0.2
Changed loader wording.
v1.0.1
Corrected the anti-injection instructions to be more clear without using injection phrases.
v1.0.0
openauto v1.0.0 — Initial release featuring a security-hardened, self-improving agent architecture.
- Forked from proactive-agent v3.1.0 with a thorough security audit: removed unsafe principles, fixed config paths, scrubbed fabricated statistics, and introduced privacy guardrails for Working Buffer.
- Implements WAL Protocol for robust correction/decision logging.
- Adds Working Buffer and Compaction Recovery features for improved persistence across memory flushes and context truncation.
- Introduces Autonomous Crons, reverse prompting, and enhanced agent self-improvement systems.
- Comprehensive documentation included for architecture, protocols, quick start, and security features.
元数据
常见问题
OpenAuto - Autonomous Agent 是什么？
Proactive, self-improving agent architecture with hardened security. WAL Protocol, Working Buffer, Compaction Recovery, Autonomous Crons, and battle-tested p... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 130 次。
如何安装 OpenAuto - Autonomous Agent？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openauto」即可一键安装，无需额外配置。
OpenAuto - Autonomous Agent 是免费的吗？
是的，OpenAuto - Autonomous Agent 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
OpenAuto - Autonomous Agent 支持哪些平台？
OpenAuto - Autonomous Agent 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 OpenAuto - Autonomous Agent？
由 danavfrost（@danavfrost）开发并维护，当前版本 v1.0.7。
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