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toolflow-openclaw-operatortoolflow OpenClaw operator 开发

Agent Skill

toolflow-openclaw-operator 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,160

周安装

90

GitHub Stars

公开资料未说明

下载量

720
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:toolflow-openclaw-operator(toolflow OpenClaw operator 开发)
来源仓库:https://github.com/mcg-tries-to-code/toolflow-openclaw-operator
安装命令:
openclaw skills install toolflow-openclaw-operator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install toolflow-openclaw-operator

简介

通过 OpenClaw 集成,可以将作业作为持久、逐步式 ToolFlow 工作流程运行,并具有批准、恢复和进度跟踪功能。

SKILL.md

ToolFlow OpenClaw Operator

Use this skill when work should be run as a ToolFlow job rather than improvised inside a single agent turn.

What this skill is

This is the OpenClaw-facing operator wrapper for ToolFlow.

It is meant to complement the ToolFlow runtime and plugin surfaces by teaching the agent when a job should be expressed as a bounded workflow with durable state, approvals, recovery, and progress visibility.

Quick install

This package now ships with a bundled local ToolFlow plugin/runtime payload.

After installing the skill from ClawHub, run from the installed skill folder:

./scripts/install-toolflow-openclaw.sh
./scripts/verify-toolflow-openclaw.sh

The installer links the bundled ToolFlow plugin into OpenClaw locally, using the payload included with this skill package.

Canonical runtime repository:

  • <https://github.com/mcg-tries-to-code/ToolFlow>

When to use ToolFlow

Prefer ToolFlow when the job benefits from one or more of the following:

  • a durable run id
  • an explicit step graph
  • dry-run classification before execution
  • exact approval boundaries for elevated work
  • receipts, manifests, and recovery
  • user-visible progress updates during longer execution

Typical examples:

  • multi-step diagnostics
  • bounded automation runs
  • workflows that may pause for approval and resume later
  • jobs where recovery after interruption matters
  • longer builds where the user should receive progress updates

Do not bother when the work is a trivial one-off read or edit.

Operator loop

  1. Frame the work as a narrow, typed workflow.
  2. Dry-run it when feasible.
  3. Submit the workflow through ToolFlow.
  4. Inspect manifest state rather than guessing from conversation.
  5. If a step requires approval, approve the exact step and resume.
  6. If interrupted, recover before replay.

Required habits

  • Prefer safe typed lanes before elevated lanes.
  • Keep workflows small, explicit, and reviewable.
  • Treat the ToolFlow ledger as canonical truth.
  • Do not silently widen workflow scope during execution.
  • Keep long-running work observable rather than silent.

Important packaging note

This skill now bundles the local ToolFlow plugin/runtime payload needed for OpenClaw installation.

It still pairs best with:

  • the ToolFlow authoring layer when workflow construction help is needed
  • the canonical ToolFlow repository for source, updates, and documentation

Canonical source repository:

  • <https://github.com/mcg-tries-to-code/ToolFlow>

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.47%
按下载量换算687

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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