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Subagent Sheepdog
作者
Mike-Alford
· GitHub ↗
· v1.0.1
· MIT-0
145
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1
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当前安装
2
版本数
在 OpenClaw 中安装
/install subagent-sheepdog
功能描述
Launch verification and watchdog discipline for delegated, backgrounded, browser-driven, and long-running tasks. Prevents false "running" claims, clarifies f...
安全使用建议
This is a policy/style skill (no code, no installs, no secrets) that defines how an agent should verify launches and report state; it is internally coherent and low-risk by itself. Before enabling it, consider: (1) whether your agent runtime and other installed skills actually implement the verification checks the guidance assumes (spawn/process/browser checks), (2) whether other skills that perform process spawning or network calls are trusted (this guidance only changes reporting/decision logic, not what external actions are taken), and (3) auditing/logging so you can verify the agent follows these rules in practice. If you plan to combine this with capabilities that can launch processes or connect to the network, review those skills' permissions and logs as well.
功能分析
Type: OpenClaw Skill
Name: subagent-sheepdog
Version: 1.0.1
The skill bundle 'subagent-sheepdog' consists of behavioral instructions (SKILL.md) designed to improve the reliability and transparency of an AI agent when handling delegated or background tasks. It defines a rigorous state machine and verification process to prevent false progress reports, with no evidence of malicious code, data exfiltration, or harmful prompt injection.
能力评估
Purpose & Capability
The name and description promise launch verification and watchdog discipline for delegated/long-running tasks; the SKILL.md contains only procedural guidance and state models consistent with that purpose. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
Instructions are limited to behavioral rules, state transitions, heartbeat semantics, retry policy, and recommended messaging. They do not instruct reading system files, accessing credentials, contacting external endpoints, or performing unexpected I/O.
Install Mechanism
This is instruction-only with no install spec and no code files, so nothing will be downloaded or written to disk by the skill itself.
Credentials
The skill requires no environment variables, credentials, or config paths. The guidance does not reference secrets or unrelated services, so requested privileges are proportionate.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request permanent presence or permission to modify other skills or system-wide settings.
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 subagent-sheepdog - 安装完成后,直接呼叫该 Skill 的名称或使用
/subagent-sheepdog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
v1.0.1
Rename listing from Subagent Watchdog to Subagent Sheepdog; no functional changes.
v1.0.0
Initial release: launch verification, failed_to_start vs failed_after_work_started, browser startup checks, ghost-delegation detection, and heartbeat-as-watchdog guidance.
元数据
常见问题
Subagent Sheepdog 是什么?
Launch verification and watchdog discipline for delegated, backgrounded, browser-driven, and long-running tasks. Prevents false "running" claims, clarifies f... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 145 次。
如何安装 Subagent Sheepdog?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install subagent-sheepdog」即可一键安装,无需额外配置。
Subagent Sheepdog 是免费的吗?
是的,Subagent Sheepdog 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Subagent Sheepdog 支持哪些平台?
Subagent Sheepdog 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 Subagent Sheepdog?
由 Mike-Alford(@mike-alford)开发并维护,当前版本 v1.0.1。
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