← Back to Skills Marketplace
tealun

Tasker

by tealun · GitHub ↗ · v1.1.1 · MIT-0
cross-platform ✓ Security Clean
221
Downloads
1
Stars
1
Active Installs
3
Versions
Install in OpenClaw
/install tasker
Description
Use for task execution, debugging, implementation, analysis, review, planning, workflow execution, and user dissatisfaction handling in agent interactions. 任...
Usage Guidance
This skill is coherent: it describes a workflow controller that requires actual tool calls to perform side effects and verification. Because it mandates executing platform tools (shell, read/write, etc.) when those are available, only install it if you trust the agent runtime and its tool permissions. Confirm what concrete executor APIs/permissions (shell access, file write/read, network) the platform will allow the skill to use, test the skill in a low-privilege environment first, and verify logging/auditing so you can see any actions it takes. If provenance of the skill (owner, homepage, source) matters to you, ask the publisher for more information before enabling it in a high-privilege context.
Capability Analysis
Type: OpenClaw Skill Name: tasker Version: 1.1.1 The 'tasker' skill is a meta-prompting framework designed to enhance the reliability and transparency of AI agent workflows. It enforces strict operational constraints, such as 'Zero-Tool Zero-Progress' and 'Post-Tool Verification,' which require the agent to provide verifiable artifacts (e.g., command output or file reads) before claiming task completion. The skill includes a risk-based sizing mechanism (S/M/L) that mandates higher levels of validation for sensitive operations like database or production environment changes, and it provides structured protocols for handling user dissatisfaction. No malicious logic, data exfiltration, or unauthorized execution patterns were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name/description (general task execution, debugging, planning, review) match the SKILL.md instructions. The skill requests no environment variables, binaries, or config paths and has no install steps, which is proportionate for an instruction-only workflow controller.
Instruction Scope
The SKILL.md explicitly requires and enforces the use of executive tool calls (WriteFile, Shell, ReadFile, etc.) for any external side effects and mandates artifacts and verification. That behavior is coherent for a task executor but means the agent will attempt real side effects when platform tools are available — the file does not instruct reading unrelated system secrets or arbitrary external endpoints.
Install Mechanism
No install spec and no code files — instruction-only. There is nothing downloaded or written to disk by the skill itself.
Credentials
The skill declares no required env vars, credentials, or config paths. The runtime instructions do not request extra secrets or unrelated credentials.
Persistence & Privilege
always is false, user-invocable is true, and model invocation is enabled (platform default). The skill does not request permanent presence or claim to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tasker
  3. After installation, invoke the skill by name or use /tasker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.1
Version 1.1.1 — Introduces strict execution safeguards to enforce real tool usage and verifiable changes for task steps. - Added "Execution Guarantees" section: mandates that all executive steps require real tool calls, verifiable artifacts, and post-action verification. - Agents are now prohibited from outputting completion statements before tool actions are confirmed and results returned. - Every executive sub-step must produce a checkable artifact; otherwise, it remains in a `[pending]` state. - Tool-Call Audit is now required in the verification phase to explicitly map all execution tools to deliverables. - Clarifies that if an external change can't be made due to missing tools, execution is blocked and clarified to the user.
v1.1.0
**Tasker v1.1.0 - Risk-Intent Workflow** What's new: - **Signal weights** : Time-based → Intent-based sizing ("view production logs" = high risk) - **Dynamic clarify** : Only ask for missing fields - **Understanding check** : M/L-level reverse confirmation before execute - **External validation** : L-level requires human/tool verification, no self-check - **Auto-close** : No response = accepted, non-blocking Breaking: Fast-path removed. All levels require confirmation.
v1.0.0
Initial release of Tasker. Adds a general task execution skill with lightweight task handshake, AI-first sizing, concise output rules, review mode, and optional PUA integration.
Metadata
Slug tasker
Version 1.1.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 3
Frequently Asked Questions

What is Tasker?

Use for task execution, debugging, implementation, analysis, review, planning, workflow execution, and user dissatisfaction handling in agent interactions. 任... It is an AI Agent Skill for Claude Code / OpenClaw, with 221 downloads so far.

How do I install Tasker?

Run "/install tasker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Tasker free?

Yes, Tasker is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Tasker support?

Tasker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Tasker?

It is built and maintained by tealun (@tealun); the current version is v1.1.1.

💬 Comments