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Agent Skill · 开发

draft-agent-loop(草案 Agent 循环)

draft-agent-loop 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。

draft-agent-loop 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 5,435。

总安装 6,320周安装 266GitHub Stars 1下载 2,213核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.6.0

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:draft-agent-loop(草案 Agent 循环)
来源仓库:https://github.com/toliuweijing/draft-agent-loop
安装命令:
openclaw skills install draft-agent-loop
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 draft-agent-loop

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

草案 Agent 循环用于补充开发相关能力,支持人机交互监督。适合对代理任务进行结构化审批与生命周期管理。可用于计划批准、阶段验收与风险控制场景。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。安装前建议确认是否会触发本地进程或文件写入。

draft-agent-loop 属于开发类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install draft-agent-loop;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

draft-agent-loop 怎么安装?

在终端执行 openclaw skills install draft-agent-loop。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

draft-agent-loop 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

draft-agent-loop 需要什么权限?

权限级别是需要联网。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。

draft-agent-loop 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

draft-agent-loop 用的人多吗?

公开数据是累计安装 6,320 次,近一周安装 266 次,下载 2,213 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

draft-agent-loop 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
draft-agent-loop

草案 Agent 循环 · 本页

6,3201需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
draft-agent-loop
version
1.6.0
description
>
metadata
clawdis
emoji
🔄
dependencies
type
other
url
https://clawhub.ai/toliuweijing/draft-cli
requires
bins
install
kind
node
package
@innosage/draft-cli
bins
label
Install draft-cli (npm)
envVars
required
false
description
The invite code used to publish Draft pages safely. Defaults to innosage during the free beta publish flow.

Draft Agent Loop Skill (HITRL)

Use this skill to implement a rigorous human-agent collaboration loop. This is the "Human-in-the-Right-Loop" (HITRL) method, designed to eliminate "blind box" agent outcomes by forcing plan approval and result verification.

Scope: This skill orchestrates remote agent workflows using the draft CLI. All persistence is through Draft pages (via the canonical draft-cli dependency). It does not write to local disk or agent memory.

Trigger Guidance

Trigger this skill when:

  • "Work on this task and check with me before and after."
  • "I want to review your plan first before you do anything."
  • "Use HITRL / use draft-agent-loop for this."
  • "Apply structured oversight to this task."
  • New task received where the user's intent is high-stakes or complex enough to warrant human gates.
  • A new iteration is requested after a Phase 3 sign-off.

Do NOT trigger this skill when:

  • The user asks to do a task directly with no mention of approval or review gates.
  • The user only asks about raw Draft commands or page automation without approval gates (use draft-cli).
  • The user wants a local-file authoring workflow (authorship in local markdown).

Core Rules

  • Source of Truth: The "Task Journal" Draft page. All plans, logs, and results live there.
  • Environment: Always use headless page mode through draft ... --runtime v2.
  • Runtime dependency: Follow the startup and page-operation rules from draft-cli.
  • Handoff Mode: Blocking. STOP and wait for human approval/sign-off in the chat before proceeding to the next phase.
  • No Sensitive Data in Logs: Do NOT include credentials, secrets, tokens, or PII in execution log entries or plan documents. Limit evidence to status indicators and non-sensitive file names.

Phase 0: Setup & Connection

Before doing anything, establish a stable Draft connection:

# 1. Start the daemon in headless runtime v2
draft start-server

# 2. Confirm the session is READY before proceeding
draft status --json

If draft status does not show a healthy v2 headless session, follow the draft-cli recovery pattern:

  • DAEMON_OFFLINE → re-run draft start-server
  • wrong runtime selected → stop and correct runtime before writing
  • Only proceed once draft status --json shows a healthy headless v2 session

Phase 1: Plan (Proposal & Approval)

Before executing any code or changes:

  1. Create Journal: Create a new Draft page titled <Task Name> - Task Journal.
    draft page create "<Task Name> - Task Journal" --json
  1. Submit Plan: Author a detailed Task Journal using the mandatory template. Append it to the Journal.
    cat << 'EOF' | draft page append <id> --json
    # 📋 Task: [Title]

    ## Context
    [Detailed background and motivation]

    ## Problem / Goal
    [Specific issue being solved or feature being added]

    ## Acceptance Criteria (Outcome-Focused)
    - [ ] [Criterion 1]
    - [ ] [Criterion 2]

    ## Implementation Notes
    [Current state analysis, relevant files, suggested approach, technical considerations]

    ## Test Coverage
    [Test strategy, scenarios to test, existing tests to reference]
    EOF
  1. Confirm Before Publishing: Before publishing, explicitly confirm with the user: "I am about to publish the Task Journal for external review. Please confirm."
  2. Handoff: On confirmation, publish the page and ask for approval.
    draft page publish <id> --invite-code "${GLOBAL_INVITE_CODE:-innosage}" --json

Handoff Phrase: "I have initialized the Task Journal with the plan and requirements: [URL]. Please review the context and acceptance criteria. Once you are ready for me to proceed, please reply with APPROVED or LGTM here in the chat."

  1. Wait: STOP. Do not proceed until the user explicitly tells you to continue in the chat. Note: Do not rely on Draft page comments for approval on remote/public pages.

Phase 2: Execute (Action & Logging)

Once approved:

  1. Verify Approval: Confirm the user has provided approval in the chat.
  2. Execute: Perform the tasks outlined in the plan.
  3. Log Evidence: For every significant action, append a concise, non-sensitive log entry to the Journal under a # 📜 Execution Log section. Do NOT include raw command output, file contents, or credentials.
    cat << 'EOF' | draft page append <id> --json
    ### [Timestamp] Action: [Description]
    - **Status**: Success/Failure
    - **Evidence**: [e.g., "Modified src/components/Button.tsx — added reveal prop"]
    EOF

Phase 3: Verify (Result & Sign-off)

Once the execution is complete:

  1. Submit Results: Append a # ✅ Final Results summary to the Journal. Include links to artifacts (e.g., PR URL, Draft page URL). Do not include raw file dumps.
  2. Confirm Before Publishing: Explicitly confirm with the user before re-publishing.
  3. Handoff: On confirmation, re-publish the page.
    draft page publish <id> --invite-code "${GLOBAL_INVITE_CODE:-innosage}" --json

Handoff Phrase: "I have completed the task. Please verify the results in the Task Journal: [URL]. If satisfied, reply with DONE or ✅ here in the chat."

  1. Wait: STOP. If the user provides sign-off (DONE / ✅), proceed to Phase 4. If feedback is received, enter the Iteration Loop.

Phase 4: Archive (Draft Page Only)

After sign-off, append a final summary to the existing Task Journal page. This keeps all persistence within Draft — no local filesystem writes.

cat << 'EOF' | draft page append <id> --json
# 🗂 Task Complete — Summary
- **Outcome**: [Brief description of what was achieved]
- **Key Decisions**: [Any notable trade-offs or design choices]
- **Artifacts**: [Links to PR, relevant files, or external references]
EOF
The Draft page itself (with its page ID and URL) is the durable record. No additional writes to TASK_LOG.md, knowledge/, or other filesystem locations are required or expected.

Iteration Loop

If the user provides feedback or requests changes after Phase 3:

  1. Acknowledge: Acknowledge the feedback in the chat.
  2. Start New Iteration: Enter Phase 1 again to propose how you will address the feedback.
  3. Append to Same Page: Do NOT create a new page. Append the new plan to the existing Task Journal under a new heading: # 📋 Iteration [N]: Addressing Feedback.
  4. Template: Use the mandatory Phase 1 template for each new iteration to maintain context and traceability.

Non-Goals

  • Do NOT use browser-backed v1 or --mode workspace.
  • Do NOT skip the plan approval gate.
  • Do NOT execute multiple un-logged steps.
  • Do NOT write to local agent filesystem (no TASK_LOG.md, no knowledge/ writes).
  • Do NOT include credentials, PII, or sensitive command outputs in Draft page content.

平台分布

OpenClaw

79.75%
按下载量换算1,765

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。目前只有一个公开来源,建议同时核对源仓库。

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