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Agent Skill · 开发

proactive-claw(主动爪)

proactive-claw 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。

proactive-claw 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;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 1,036。

总安装 43,018周安装 1,829GitHub Stars 3下载 15,071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
1.2.41

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:proactive-claw(主动爪)
来源仓库:https://github.com/googlarz/proactive-claw
安装命令:
openclaw skills install proactive-claw
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 proactive-claw

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。

🦞 OpenClaw 最强大的主动引擎。您的私人助理可以向您学习并帮助您提高工作效率。

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 proactive-claw;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

    它需要执行命令,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

proactive-claw 怎么安装?

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

proactive-claw 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。

proactive-claw 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install proactive-claw 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。

proactive-claw 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。

proactive-claw 用的人多吗?

公开数据是累计安装 43,018 次,近一周安装 1,829 次,下载 15,071 次,GitHub 3 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。

proactive-claw 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
proactive-claw

主动爪 · 本页

43,0183执行命令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
Proactive Claw
description
>
version
1.2.41
metadata
openclaw
requires
bins
[python3]
config
[credentials.json, config.json]
install
label
Run scripts/setup.sh --doctor, install required deps manually, then run scripts/setup.sh

🦞 Proactive Claw

Proactive Claw is a proactive execution engine that collaborates with you and learns from you.

It helps you be more productive by making smart suggestions at the right moment — and (by default) only applying what you approve.

Everything can run locally.


Safety in one glance ✅

✅ Asks before applying changes (default) ✅ Writes only what you approve (no surprise calendar edits) ✅ Local-first core bundle (no external integration helpers) ✅ Everything can run locally (small/local scoring model recommended) ✅ Local state folder is transparent and deletable


Why people install it (what you feel in week 1)

  • You show up prepared more often.
  • Your calendar becomes more realistic (buffers appear where they matter).
  • Deep work blocks stop getting shredded by “just one quick meeting.”
  • Follow-ups stop slipping.
  • Proactive Claw learns your style quickly:

prep durations, preferred times, what you reject, what you always accept.

In short: it becomes your personal assistant.


Graph A — the simple loop (how it works at a glance)

+--------------------------+        +--------------------------+
| Calendar                 |        | Chat                     |
| Google Calendar/Nextcloud|        | (your control loop)      |
+------------+-------------+        +------------+-------------+
             |  events <-> suggestions           | prompts <-> decisions
             |                                   |
             +-------------------+---------------+
                                 |
                                 v
                  +--------------------------------------+
                  |            Proactive Claw             |
                  |  - notices what's coming              |
                  |  - prioritizes what matters           |
                  |  - suggests prep / buffers / followup |
                  |  - learns from your feedback          |
                  |  - applies only what you approve      |
                  +--------------------------------------+

Key idea: Proactive Claw is proactive, but you remain the decision-maker (by default).


Quick start (2 minutes)

1) Run readiness checks:

bash scripts/setup.sh --doctor

2) If dependencies are missing, print one install command:

bash scripts/setup.sh --print-install-cmd google
# or: bash scripts/setup.sh --print-install-cmd nextcloud

3) Bootstrap calendar connection:

bash scripts/setup.sh

4) Run a safe preview:

bash scripts/quickstart.sh

5) Approve a suggestion in chat, then run once:

python3 scripts/daemon.py

Modes (choose your vibe)

  • Suggest (default): asks before applying changes (max_autonomy_level=confirm)
  • Background (manual): run local daemon yourself (python3 scripts/daemon.py --loop)
  • Autonomous (advanced): explicit opt-in only (not recommended until you’ve used it for a while)

Presets (easy setup)

You don’t need to tune dozens of settings. Pick a preset.

Presets are just a starting point. Proactive Claw adjusts to you with every interaction (approvals, edits, rejections), and quickly becomes personal.

A) Calm mode (minimal interruptions)

Choose this if you want only high-value suggestions.

  • fewer prompts
  • only important events get prep/buffers

B) Builder mode (deep work protected)

Choose this if you code/build and need long focus blocks.

  • defends 2–3h deep work windows
  • suggests moving meetings that fragment focus
  • stronger buffers + recovery time

C) Meetings-heavy week

Choose this when your schedule is packed.

  • adds buffers + reset breaks
  • prevents back-to-back collapse
  • proposes follow-ups so action doesn’t slip

(If you want, these presets can be expressed as a small copy/paste block in config.json.)


Chat scoring model (built-in; small/local recommended)

Proactive Claw includes a chat scoring model to rank signals (importance, urgency, disruption risk) so it knows:

  • what matters,
  • when to ask you,
  • and when to stay quiet.

Recommendation: use a small model, ideally local (fast, cheap, private). Your planning model can be bigger; scoring should stay small and fast.


Scenarios (mini transcripts)

1) Presentation tomorrow → prep + buffer

You: Tomorrow I’m presenting the roadmap to the board. Claw (score = 0.92): High impact. You usually prep ~70 minutes for presentations. Claw: Want me to reserve 08:40–09:50 for prep + a 10-min buffer before the 10:00 meeting?

2) Deep work protection (developer mode)

Claw (score = 0.78): This meeting would split your deep work block (09:30–12:00). Claw: Prefer to move it to 13:00, or keep it and add a 20-min recovery buffer after?

3) Back-to-back day → buffers + reset

Claw (score = 0.81): Tomorrow is back-to-back from 10:00–14:00. Claw: Add 10-min buffers between meetings + a 25-min reset break around midday?

4) Follow-up that tends to slip

You: I promised I’ll send the summary. Claw (score = 0.66): Time-sensitive. Claw: Want a 20-min follow-up block right after the meeting (or at 17:10)?

5) It becomes personal fast (recurring pattern)

Claw (score = 0.71): I’ve noticed a pattern for “Client Review” meetings:

  • you prefer 30-min prep the same day
  • 10-min buffer before
  • no meetings after 18:00

Claw: Want me to propose this pattern whenever a new “Client Review” appears (still asking you to approve)?


Graph B — technical architecture (backend = Google OR Nextcloud)

TECHNICAL ARCHITECTURE (backend = Google OR Nextcloud)

             +----------------------------------------------+
             |        Calendar backend (choose ONE)         |
             |  +-----------------------+  OR  +----------+ |
             |  | Google (OAuth/API)    |      | Nextcloud| |
             |  +-----------------------+      | (CalDAV) | |
             |                                 +----------+ |
             +-----------------------+----------------------+
                                     ^
        events / changes (propose+apply, Actions only)       |
                                     |
                                     v
+----------------------+      +------------------------------------------+      +----------------------+
|  OpenClaw Chat UI    | <--> |           Proactive Claw Core            | <--> |  Local state         |
| prompts <-> decisions|      | 1) Ingest: events + chat signals         |      | config/token/SQLite  |
| feedback loop        |      | 2) Score: urgency/importance (local rec) |      | logs (optional)      |
+----------------------+      | 3) Plan : prep + buffers + follow-ups    |      +----------------------+
                              | 4) Approve (default): ask/confirm in chat|
                              | 5) Apply : write approved changes        |
                              | 6) Learn : from your approvals/edits     |
                              +------------------------------------------+
                                     ^
                                     |
                           Optional (explicit opt-in)
                                     |
                                     v
                              +----------------------+
                              | Optional daemon      |
                              | periodic scan/suggest|
                              +----------------------+

Setup

0) Requirements

  • python3 available on your machine
  • Google backend: credentials.json (OAuth client)

OR

  • Nextcloud backend: CalDAV URL + app password (or token)

1) Validate dependencies + bootstrap config

bash scripts/setup.sh --doctor
bash scripts/setup.sh --print-install-cmd google
# install dependencies manually
bash scripts/setup.sh

2) Choose your calendar backend

Option A — Google Calendar (OAuth)

You provide:

  • credentials.json (OAuth client)

Proactive Claw creates:

  • token.json after OAuth

Option B — Nextcloud (CalDAV)

You provide:

  • CalDAV base URL
  • app password

3) Configure behavior

Interactive wizard:

python3 scripts/config_wizard.py

Safe defaults:

python3 scripts/config_wizard.py --defaults

4) Core boundaries (this package)

  • Includes: scripts/daemon.py for manual local runs.
  • Excludes from published bundle: cross-skill connectors, team awareness, daemon installers, optional remote OAuth bootstrap, voice bridge, and llm rater.
  • No background installer is shipped in this package.

FAQ

Will this mess up my calendar?

By default: no. Proactive Claw suggests changes in chat and applies only what you approve (max_autonomy_level = confirm).

Where does it store data?

Locally under: ~/.openclaw/workspace/skills/proactive-claw/

Does everything run locally?

Yes — it can. The scoring model is recommended to be small/local. The calendar backend still connects to your chosen provider because that’s where your calendar lives.

Can I use it without Google?

Yes — use Nextcloud (CalDAV).

Does core include daemon installer helpers?

No. Core includes scripts/daemon.py for manual runs. No launchd/systemd installer is published in this package.

What does “learning” mean here?

It learns your preferences from your approvals/edits over time: prep durations, preferred times, buffer sizes, meeting types that matter, and deep work rules.

What is the chat scoring model?

A lightweight model that assigns numeric scores (e.g., 0.66, 0.92) to decide what matters and when to prompt you. Recommended: small/local model.


Troubleshooting (by symptom)

  • “Too many prompts” → use Calm mode; reject a few times; it will adapt
  • “Not proactive enough” → run python3 scripts/daemon.py --loop for continuous local scanning
  • “Prep blocks are wrong length” → edit them twice; it will converge
  • “OAuth issues” → re-run setup; revoke token and re-auth if needed

Uninstall

1) Delete: ~/.openclaw/workspace/skills/proactive-claw/ 2) Revoke Google OAuth access if you used Google: myaccount.google.com/permissions


Glossary

  • Prep block: time reserved before an event to prepare
  • Buffer: short gap that prevents schedule collisions
  • Deep work: uninterrupted focus block
  • Daemon: background loop process (python3 scripts/daemon.py --loop)
  • Score: 0–1 number indicating importance/urgency

To improve this 100×, here’s what would help:

1) Your config key list (or config.example.json) so I can turn presets into copy/paste blocks safely. 2) Whether you want scores displayed as 0.92 or 92/100 (both numeric; one is friendlier). 3) If you want an “Advanced” section for autonomous mode or prefer to keep it out of the main doc.

平台分布

OpenClaw

87.67%
按下载量换算13,213

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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 proactive-claw 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。目前只有一个公开来源,建议同时核对源仓库。

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