Guide agents through Interent pay-per-use AI workflows from planning to result retrieval.
npx skills add https://github.com/youvandra/Interent --skill agent-guide-youvandra
Please help me install this Agent Skill. Skill: agent-guide Source: https://github.com/youvandra/Interent/tree/main/src/app Command: npx skills add https://github.com/youvandra/Interent --skill agent-guide-youvandra
This Skill helps agents understand how to use Interent’s pay-to-run marketplace so they can reliably plan a workflow, select expected outputs, and retrieve results after checkout or test-pay.
Use the Interent agent guide by calling the /skill.md endpoint so the agent can follow the required workflow, pricing, and output-selection steps.
High-intent search queries and answers about installing and using this skill.
To plan a pay-per-use AI workflow, you convert a natural-language goal into a recommended toolchain, select expected outputs, complete the Locus Checkout payment flow, and retrieve the final job results. The agent guide provides the operational instructions for this entire process.
Locus Checkout processes USDC payments for running AI workflows through a single checkout interface. It enables deterministic execution of wrapped APIs by bundling multi-step toolchain tasks into one transparent payment transaction before result retrieval.
Yes, you can run demos using the test-pay behavior within Interent’s marketplace interface. This allows agents to simulate the workflow execution and checkout flow without requiring actual USDC payment for the expected outputs.
After completing Locus Checkout, you wait for workflow completion and then fetch the final result along with step details when applicable. The agent guide instructs how to poll status and retrieve job outputs from the executed toolchain.
The best way to convert a natural language request into a toolchain is using the Interent agent guide to parse your goal, select expected outputs like extracted text or JSON, and map the steps to wrapped APIs with transparent USDC pricing.
Limitations include dependency on Interent’s wrapped APIs for execution and the need to process payments via Locus Checkout using USDC. You must also follow the skill.md endpoint instructions to ensure proper workflow planning and result retrieval.
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