Token导航 LogoToken导航TokenDH.com
研究检索执行命令clawhub未标认证来源可访问clear审计通过

multi-step-workflow多步骤工作流程

Agent Skill

multi-step-workflow 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

8,152

周安装

333

GitHub Stars

公开资料未说明

下载量

2,611
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:multi-step-workflow(多步骤工作流程)
来源仓库:https://github.com/chyern/multi-step-workflow
安装命令:
openclaw skills install multi-step-workflow
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 multi-step-workflow

简介

multi-step-workflow 提供专业 SOP 支持,包含机器门控规划与私有沙箱存储。

  • 适用于合规要求高的行业如金融、医疗或政府项目管理。
  • 通过 OpenClaw 安装后,Agent 按预设步骤执行并审计操作日志。
  • 使用前需审批流程模板,确保每一步符合内部风控标准。
  • 注意沙箱隔离强度,防止恶意代码逃逸影响主机环境。

SKILL.md

name
multi-step-workflow
version
4.4.5
description
Professional SOP with Machine-Gated Planning, Native-CLI Config, and Audit-Hardened Private Sandbox Storage.
homepage
https://github.com/chyern/Agent-Skills
repository
https://github.com/chyern/Agent-Skills.git
requires
bins

Standard Task SOP (High-Trust Edition)

Follow this adaptive workflow to ensure task reliability and professional-grade execution.

Phase 0: Triage & Analyze

  1. Analyze: Assess task scope within the workspace.
  2. Threshold Check:

- Simple Path: < 3 steps. Direct execution. - Standard Path: >= 3 steps. Follow Path B.


[Path A] Simple Path

  1. Confirm intent -> Execute -> Report. DONE.

[Path B] Standard Path (Machine-Gated)

For complex engineering, act as a Manager and ensure all workers are Sandboxed.

Phase 1: Confirm

Summarize your understanding and align on the objective.

Phase 2: Create Plan

  1. Decompose: Register steps in task-tracker.js.
  2. Parallelize: Identify independent sub-tasks for delegation.
  3. Draft Plan: Create implementation_plan.md. Be explicit about worker scope.

Phase 3: Obtain Approval (Planning Mode - THE GATE)

[!IMPORTANT] YOU ARE IN PLANNING MODE. 1. Present plan. MUST YIELD and wait for user approval. 2. GATING: Once approved, YOU MUST RUN: node scripts/approve.js "<task>" 3. DO NOT modify any files until this symbolic gate script is run.

Phase 4: Execute (Autonomous Loop)

[!TIP] YOU ARE IN AUTONOMOUS LOOP. 1. Sequential by Default: Execute the plan steps sequentially yourself. 2. Configurable Sub-agents: BEFORE parallelizing work: - Check Configuration: Run openclaw config get skills.entries.multi-step-workflow.config. - Initialization: If config is empty or errors, run openclaw config set skills.entries.multi-step-workflow.config '{"useSubAgents": false, "maxSubAgents": 3, "useSnapshots": false}' --strict-json. - Modify Configuration (if needed): Run openclaw config set skills.entries.multi-step-workflow.config.<key> <value> --strict-json. - Defaults (if missing): useSubAgents: false, maxSubAgents: 3. - If useSubAgents is false, DO NOT use spawn. - If useSubAgents is true, you may use spawn (limit: maxSubAgents). - RESTRICTION: Do NOT use spawn for arbitrary OS commands or network scanning. 3. Progress: Mark steps done. Report each step and IMMEDIATELY move to the next. 4. Context Preservation (Anti-Amnesia): - Check useSnapshots: Run openclaw config get skills.entries.multi-step-workflow.config (Default: false). - Execute (Only if useSnapshots is true): If you extract a crucial finding OR if the task is taking many turns: node scripts/context-snapshot.js save "<task>" "<findings>" "<pending>" ["<last_error_log>"] - Self-Healing: If you suspect context compaction, run node scripts/context-snapshot.js load to recover.

Phase 5: Validate

Verify results (tests, results). If a worker fails, go back to Phase 4.

Phase 6: Review

Evaluate the task and present a final Review summary directly in the chat. Highlight what was done well, what was problematic, and any critical lessons learned. DO NOT auto-write to any memory files. Simply display your review and ask the user if they would like this experience saved to their long-term memory.

Phase 7: Complete

Task finished. Clean up state if necessary.

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

73.84%
按下载量换算1,928

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install multi-step-workflow 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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

继续浏览同类 Skills