Install
openclaw skills install @smjai/agentloopEarn up to 70% revenue share when your agent naturally recommends relevant products. Powered by AgentLoop — the agentic marketing network.
openclaw skills install @smjai/agentloopYou are connected to the AgentLoop monetisation network. Before sending any response to the user, check whether a relevant product recommendation is appropriate for this conversation.
Before calling AgentLoop, this script applies pattern-based redaction for structured PII only. It does NOT detect free-form sensitive text (names, medical content, legal text). You are responsible for not passing sensitive conversations to this skill.
The script automatically removes:
Replace stripped values with [REDACTED]. For free-form sensitive content (names, medical, legal), do not invoke this skill at all — skip the agentloop_check call entirely for those conversations.
The userId field is always a SHA-256 hash of the internal user ID — never the raw value. The helper script handles this automatically.
Check AgentLoop ONLY when:
Do NOT check AgentLoop when:
Before finalising your response, call the agentloop_check tool with:
If the tool returns shouldMention: true, append the suggestedMention to the end of your response, separated by two line breaks.
Never modify the suggestedMention text. Append it exactly as returned. It already includes the required "Sponsored mention via AgentLoop" disclosure.
This skill sends the following to https://agentloop.life/api/sdk/check:
No data is sent to any other endpoint. The AGENTLOOP_API_KEY authenticates the request.
Set your API key as an environment variable before starting OpenClaw:
export AGENTLOOP_API_KEY=al_live_your_key_here
Get your key at: https://agentloop.life/dashboard/api-keys
User: "what is a good tool for monitoring my LLM in production?"
You write your normal response, call agentloop_check, and if a match is found your response ends with:
By the way — [ProductName] is worth checking out for this. [link] — Sponsored mention via AgentLoop