What the Spend Request Agent does
With OpenClaw, this agent meets you in the chat app you already live in. It normalizes incoming spend requests and runs your policy and evidence checks: request, amount, policy check, evidence, approver and status. Approvals become one review, not a reconstruction.
Unrecorded approvals are next year's audit problem. This assistant structures each request as it arrives, checks it against your written policy, lists missing evidence, and drafts the response - with the decision trail saved per request. Hallway asks become a queue you can actually clear.
Where the Included files go in OpenClaw
Drop the Included files into your OpenClaw workspace and point it at skill.md, then run the setup prompt over your usual chat channel. OpenClaw keeps its workspace persistent, so the agent's rules survive between asks, and its approval style matches the agents' stop-at-human-gates design.
What a run looks like on OpenClaw
A run looks like this: you message OpenClaw on your usual channel with this run's inputs, and it works through spend-approvals from the workspace skill. The output - it normalizes incoming spend requests and runs your policy and evidence checks: request, amount, policy check, evidence, approver and status - comes back in chat for your approval.
Setup, step by step
- Drop
skill.md,setup-prompt.txtandusage-prompt.txtinto your OpenClaw workspace and point it at the skill file. - Run the setup prompt over your usual chat channel (WhatsApp, iMessage, Slack, Telegram, Discord).
- The agent runs
spend-approvalson fictional sample data first - approve that test before real work. - OpenClaw keeps its workspace persistent and its approval style matches the agent's stop-at-human-gates design: each real run is one message with this run's inputs.
Honest limits on OpenClaw
OpenClaw is self-hosted open-source software: you are responsible for your own install, keys and updates. Read its security docs before connecting real accounts.
Questions people ask
Does the Spend Request Agent work on OpenClaw?
Yes - the agent is three plain-text files, and on OpenClaw they live in your OpenClaw workspace. The four setup steps below are the whole job: Drop skill.md, setup-prompt.txt and usage-prompt.txt into your OpenClaw workspace and point it at the skill file. Then run the setup prompt over your usual chat channel (whatsapp, imessage, slack, telegram, discord).
What does the Spend Request Agent produce on OpenClaw?
It normalizes incoming spend requests and runs your policy and evidence checks: request, amount, policy check, evidence, approver and status. OpenClaw delivers it in your chat channel; you approve before anything is used. Every run waits for your approval before anything is sent, spent, published or scheduled.
Is this affiliated with OpenClaw?
No. AI Agent Skills is an independent store. We are not affiliated with, endorsed by, or sponsored by OpenClaw or its makers. Platform names belong to their owners; capabilities change, so check OpenClaw's current documentation.
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AI Agent Skills is an independent store, not affiliated with OpenClaw or its makers. Platform names belong to their owners.