技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.0.1
统计：⭐ 3 · 4.1k · 22 current installs · 22 all-time installs
⭐ 3
安装量（当前） 22
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：arisylafeta/clawlist
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's files and runtime instructions are coherent with its stated purpose (planning, executing, tracking long-running and infinite tasks) but there are minor omissions and operational risks you should understand before enabling it.
目的
Name/description match the actual instructions: the skill orchestrates brainstorming → plan → execute → verify and manages long-running/infinite tasks. However, the SKILL.md repeatedly refers to persistent agent memory files (e.g., memory/tasks/ongoing-tasks.md, memory/plans/...) and to platform features (heartbeat, sessions_spawn) while the skill metadata declares no required config paths or platform permissions. That omission is an inconsist…
说明范围
Instructions tell the agent to read project state (files, docs, commits), write and update persistent memory files, spawn subagents, and let a heartbeat process read ongoing-tasks.md to execute due tasks. All of that is in-scope for a task-orchestration skill, but it does mean the agent will access and persist project data and may act repeatedly over time—so check whether you want those filesystem/memory operations and any automated dispatchin…
安装机制
Instruction-only skill with no install spec or code files to run. Lowest-risk install surface—nothing is downloaded or written by an installer.
证书
The skill requests no environment variables or external credentials, which is proportional to its stated purpose. Note: it implicitly relies on the agent's persistent memory and platform features (heartbeat, session spawning) but does not request additional secrets.
持久
The skill is not force-included (always:false) but is designed for long-running and infinite tasks and instructs the agent to update persistent memory and rely on a heartbeat to execute tasks. Autonomous invocation is allowed (disable-model-invocation:false) — typical for skills, but because this one is intended to schedule/drive repeated actions and spawn subagents, it raises operational risk if you don't want ongoing automated behavior.
综合结论
This skill appears to do what it says: orchestrate multi-step and long-running workflows. Before installing, consider: 1) The skill reads and writes agent memory files (memory/tasks/ongoing-tasks.md, memory/plans/...), but the metadata doesn't declare those config paths — confirm your platform's memory policy and whether you consent to those persistent writes. 2) It expects to spawn subagents and rely on a heartbeat to run recurring tasks; if …
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「clawlist」。简介：MUST use for any multi-step project, long-running task, or infinite monitoring …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/arisylafeta/clawlist/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: clawlist
description: "MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations."
---
# Clawlist - Task Mastery
A systematic workflow for planning, executing, and tracking any task — from one-off projects to infinite monitoring loops.
## When to Use This Skill
**ALWAYS use clawlist when:**
- Starting any new project or initiative
- Setting up long-running monitoring
- Breaking down complex goals
- You need to track progress across sessions
- Managing infinite tasks (research, monitoring, engagement)
## Long-Running & Infinite Task Examples
### Example: Moltbook Engagement (Infinite)
- **Type:** Infinite loop
- **Schedule:** Every 30 minutes
- **Goal:** Engage with community, build presence
- **Checkpoints:** Check feed, check DMs, create content
### Example: GitHub Monitoring (Long-Running)
- **Type:** Continuous
- **Schedule:** Every 4 hours
- **Goal:** Monitor repos, triage issues, implement
- **Checkpoints:** Inbox zero, PR review, implementation
## The Clawlist Workflow
Uses standalone skills in sequence:
1. **brainstorming** → Clarify intent, explore approaches
2. **write-plan** → Create detailed plan with checkpoints
3. **doing-tasks** → Execute with skill discipline
4. **verify-task** → Confirm completion
For parallel work, insert **dispatch-multiple-agents** between write-plan and doing-tasks.
## Ongoing Tasks File
**Location:** `memory/tasks/ongoing-tasks.md`
Tracks all long-running and infinite tasks. Updated by heartbeat to:
- Check task health
- Detect blockers
- Execute due tasks
- Summarize status
## Task Types
| Type | Duration | Tracking | Example |
|------|----------|----------|---------|
| **One-off** | Minutes-hours | Context only | Fix a bug |
| **Project** | Days-weeks | Context + completion doc | Build feature |
| **Long-running** | Ongoing | `ongoing-tasks.md` | GitHub monitoring |
| **Infinite** | Forever | `ongoing-tasks.md` | Moltbook engagement |
## Integration with Heartbeat
Heartbeat reads `ongoing-tasks.md` every check to:
- Execute due infinite tasks
- Detect and report blockers
- Update health status (🟢🟡🔴)
- Ping user if intervention needed
## Quick Reference
```
New Task
↓
brainstorming → write-plan → doing-tasks → verify-task
↓
dispatch-multiple-agents (if parallel)
↓
update ongoing-tasks.md (if long-running)
```
## Sub-Skills
- **brainstorming** - Phase 1: Clarify
- **write-plan** - Phase 2: Plan
- **doing-tasks** - Phase 3: Execute
- **dispatch-multiple-agents** - Parallel execution
- **verify-task** - Phase 4: Verify