← Back to Skills Marketplace
policy-to-checklist
by
vx：17605205782
· GitHub ↗
· v1.0.0
· MIT-0
294
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install policy-to-checklist
Description
把征稿启事、通知、比赛规则、制度文件、招标要求等转成可执行检查清单与时间线。
Usage Guidance
This skill is internally consistent, but it reads your macOS clipboard and prints its raw contents. Before running it: (1) ensure you're on macOS (requires pbpaste); (2) verify clipboard contents do not contain passwords, tokens, or other secrets; (3) review scripts/read_clipboard.mjs (it is short and just calls pbpaste); (4) if you prefer safer operation, paste the text into the agent's prompt manually or modify the script to prompt for confirmation, redact sensitive fields, or read from a file. The skill itself does not transmit data externally, but the agent may include clipboard contents in model messages—treat that as a potential data exposure vector.
Capability Analysis
Type: OpenClaw Skill
Name: policy-to-checklist
Version: 1.0.0
The skill is designed to convert clipboard content (such as policy documents or notices) into structured checklists. It uses a simple Node.js script (read_clipboard.mjs) to execute the standard macOS 'pbpaste' utility and output the text for the AI agent to process. The code is transparent, lacks obfuscation, and its behavior aligns perfectly with the stated purpose in SKILL.md and README.md.
Capability Assessment
Purpose & Capability
The skill's stated goal is to convert notices/rules into checklists. The only required binaries are node and pbpaste, which are appropriate for reading the macOS clipboard and processing text. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md explicitly tells the agent to run scripts/read_clipboard.mjs. That script runs pbpaste (via child_process.execSync) and prints the raw clipboard contents between markers. This is coherent with the stated purpose, but reading the system clipboard can expose sensitive data — the script does not filter, redact, or prompt before printing clipboard contents.
Install Mechanism
There is no install spec and only a small included JS script; no external downloads, package installs, or archive extraction are performed.
Credentials
No environment variables, credentials, or config paths are requested. The requirement set is minimal and proportionate to the task (reading clipboard + processing text).
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges, nor does it modify other skills or system-wide configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install policy-to-checklist - After installation, invoke the skill by name or use
/policy-to-checklist - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of policy-to-checklist
- Converts complex policy documents (e.g., calls for papers, contest rules, application guidelines, bid requirements) into actionable checklists and timelines.
- Supports extracting requirements and deadlines from notifications and instructions.
- Activated by user requests to organize or extract key points from such documents.
- Clipboard content automatically processed into clear, step-by-step lists.
Metadata
Frequently Asked Questions
What is policy-to-checklist?
把征稿启事、通知、比赛规则、制度文件、招标要求等转成可执行检查清单与时间线。 It is an AI Agent Skill for Claude Code / OpenClaw, with 294 downloads so far.
How do I install policy-to-checklist?
Run "/install policy-to-checklist" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is policy-to-checklist free?
Yes, policy-to-checklist is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does policy-to-checklist support?
policy-to-checklist is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created policy-to-checklist?
It is built and maintained by vx：17605205782 (@52yuanchangxing); the current version is v1.0.0.
More Skills