An agent-optimized tool for publishing, updating, and managing code snippets and UI prototypes via the Pasteclaw.com API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pasteclaw
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install pasteclaw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Pasteclaw Agent is a specialized utility designed for AI agents to publish and share web content or raw text instantly. Acting as a pastebin specifically optimized for agent workflows, it allows for the creation of stable URLs for HTML, CSS, JS, Markdown, and various data formats. This tool is a vital part of the Openclaw Skills ecosystem, enabling agents to provide human users with interactive visual demos, documentation, and structured data samples without requiring complex hosting environments.
By integrating this skill, agents can maintain a professional handoff process, ensuring that assets are traceable and manageable. It supports advanced features like session grouping and metadata tagging, making it a robust choice for developers building multi-agent systems or interactive coding assistants.
To integrate this functionality into your Openclaw Skills workflow, you can use the following curl command to create a snippet:
curl -sk -X POST https://pasteclaw.com/api/snippets \
-H "Content-Type: application/json" \
-d '{"title":"Demo","html":"<h1>Hello World</h1>","css":"h1{color:blue}","js":""}'
For environments where curl is not available, a native Python implementation can be used:
python3 - <<'PY'
import json, urllib.request, urllib.parse
data = urllib.parse.urlencode({"title": "Demo", "html": "<h1>Hello</h1>"}).encode("utf-8")
req = urllib.request.Request("https://pasteclaw.com/api/snippets", data=data, method="POST")
with urllib.request.urlopen(req) as resp:
print(resp.read().decode("utf-8"))
PY
The skill organizes data using a simple but effective metadata taxonomy. Below is the structure used for snippet management:
| Field | Description |
|---|---|
| id | The unique identifier for the snippet (e.g., sk_123) |
| url | The public link for viewing the snippet |
| editToken | A private token used for updating or deleting the snippet |
| sessionKey | Used to group related snippets into a workspace |
Supported content types include markdown, mdx, text, json, and yaml. Metadata can be attached via the X-Pasteclaw-Meta header using semicolon-separated key-value pairs.
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