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Weekly AI cost and model review v1.0.0

Use this resource to review each week the costs and fit of the AI models used by each feature

New

  • 399 downloads
  • 187 likes
  • 167 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-model-cost-review-weekly

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 sets the analysis window, pulls spend by tag from the gateway report and compares candidate models. It flags drift and proposes per-use adjustments, or concludes that no change is justified.

Mostly picked by

Updated November 2, 2026

Card for the “Weekly AI cost and model review” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: report fields and analysis steps
  • SKILL.md: candidate comparison and drift reporting

Good fit for

  • Your AI model bill went up for no clear reason
  • You want to check each week that a model is still the right choice

Not for

    Tags

    • costs
    • ai models
    • gateway
    • tracking

    About

    You say

    “Review last week's costs and tell me which uses would gain from switching models.”

    Card for the “Weekly AI cost and model review” skill

    Skill published by evloghq 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 review each week the costs and fit of the AI models used by each feature
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.4 KB

    Origin and licence

    Listed unmodified

    Author
    evloghq
    Source
    github.com/evloghq/evlog/tree/785279e1c52c7486b51e642a8e2bf2091d38b764/apps/evi/agent/skills/cost-watchdog
    Licence
    MIT

    Notice

    « cost-watchdog » (evloghq, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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