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在 OpenClaw 中安装
/install openclaw-coe
功能描述
OpenClaw 原生执行链(Chain of Execution, CoE)技能。让 OpenClaw 在处理复杂任务时,实时分步输出执行过程:拆解问题 → 选择 skill → 调用 skill → 调用模型 → 等待响应 → 拿到结果 → 最终汇总,完全贴合 OpenClaw 实际运行流程,让用户清楚看到每...
安全使用建议
This skill is a simple, local tracer that prints step-by-step status to stdout and requires no credentials or network access — it appears to do exactly what it says. Before enabling or letting other skills call it, be aware it will echo any text you pass into it: do not pass secrets, credentials, or sensitive data into tracker.step/result/done if you don't want that content surfaced in logs/UI. Also note that other skills must be able to import the module (filesystem/packaging), but that is a normal development consideration rather than a security problem.
功能分析
Type: OpenClaw Skill
Name: openclaw-coe
Version: 1.0.0
The openclaw-coe skill is a transparency utility designed to provide real-time progress updates (Chain of Execution) to the user. The implementation in cot_tracker.py and main.py is limited to simple logging and status reporting via standard output, with no evidence of data exfiltration, unauthorized execution, or malicious prompt injection. The skill's behavior is entirely consistent with its stated purpose of improving user visibility into the agent's task-solving process.
能力评估
Purpose & Capability
Name/description claim a Chain-of-Execution tracker that emits step-by-step output. Included Python code (cot_tracker.py and a small main.py) implements exactly that behavior (printing steps, start/wait/result/done). No unrelated binaries, env vars, or network calls are requested.
Instruction Scope
SKILL.md stays within scope: it documents how to enable/disable the tracker, automatic/manual triggers, and how other skills can import and call CoETracker. The tracker prints whatever strings are passed to it (to stdout and flushed). That means any data other skills pass into tracker.step/result etc. will be echoed to the user/UI — a potential privacy consideration but not a functional incoherence.
Install Mechanism
No install spec; code is instruction-only with small local Python files. There is no remote download, package install, or extraction that would introduce supply-chain risk.
Credentials
The skill declares no required environment variables, no credentials, and the code does not access env vars or config paths. The requested scope of access is minimal and matches the stated purpose.
Persistence & Privilege
always is false and the skill does not modify other skills or system configuration. It exposes an API for other skills to import the tracker, which is appropriate for a tracing helper.
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 openclaw-coe - 安装完成后,直接呼叫该 Skill 的名称或使用
/openclaw-coe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
v1.0.0
OpenClaw 原生执行链(Chain of Execution, CoE)技能首次发布。实时分步输出执行过程,贴合 OpenClaw 原生架构,让用户清楚看到每一步在做什么。
- 实时分步输出 OpenClaw 执行全过程,让用户清楚看到每一步操作。
- 自动识别与“分步执行”“过程”等关键词,智能启用。
- 支持手动开启与关闭执行链输出。
- 提供 API,便于其他技能集成分步过程显示。
- 输出仅限流程文本,无额外算力消耗;不影响原有执行逻辑与兼容性。
元数据
常见问题
OpenClaw Chain of Execution (CoE) 是什么?
OpenClaw 原生执行链(Chain of Execution, CoE)技能。让 OpenClaw 在处理复杂任务时,实时分步输出执行过程:拆解问题 → 选择 skill → 调用 skill → 调用模型 → 等待响应 → 拿到结果 → 最终汇总,完全贴合 OpenClaw 实际运行流程,让用户清楚看到每... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 156 次。
如何安装 OpenClaw Chain of Execution (CoE)?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-coe」即可一键安装,无需额外配置。
OpenClaw Chain of Execution (CoE) 是免费的吗?
是的,OpenClaw Chain of Execution (CoE) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
OpenClaw Chain of Execution (CoE) 支持哪些平台?
OpenClaw Chain of Execution (CoE) 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 OpenClaw Chain of Execution (CoE)?
由 liuyh17(@liuyh17)开发并维护,当前版本 v1.0.0。
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