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Paid model calls with a budget cap v1.0.0

Use this resource to make paid calls to external models within a fixed budget

New

  • 408 downloads
  • 239 likes
  • 234 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install paid-model-calls-budget

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent checks the authorized budget before each paid call, runs the request through the BlockRun provider and reports spending at the end. You control the wallet, the cap and the requested capabilities before any money is spent.

Mostly picked by

Updated November 2, 2026

Card for the “Paid model calls with a budget cap” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: budget check before and after each call
  • SKILL.md: price table, wallet handling and SDK examples

Good fit for

  • You want to generate an image or query data through a paid provider
  • You need to track and cap AI call spending

Not for

    Tags

    • budget
    • payment
    • models
    • provider
    • spending

    About

    You say

    “Generate an image with BlockRun, within the $1 limit I authorized.”

    Card for the “Paid model calls with a budget cap” skill

    Skill published by sickn33 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to make paid calls to external models within a fixed budget
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/blockrun
    Licence
    MIT

    Notice

    « blockrun » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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