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Spend findings from AI agent logs v1.0.0

Use this resource to find where your AI agent sessions overspend

New

  • 510 downloads
  • 110 likes
  • 137 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-agent-spend-optimization

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 reads your Claude Code and Codex logs and flags waste: low cache reuse, one-hour cache writes that did not pay back, sub-agents on a top-tier model, bloated sessions. Each finding comes with its evidence and a what-if saving; you then decide what to change.

Mostly picked by

Updated November 2, 2026

Card for the “Spend findings from AI agent logs” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: analysis command and rules for presenting findings
  • SKILL.md: levers ranked from largest to smallest

Good fit for

  • Your Claude Code or Codex bill rose sharply
  • You want to know which lever to pull first

Not for

    Tags

    • cost
    • tokens
    • optimisation
    • AI agents

    About

    You say

    “Analyse my logs from the last seven days and tell me where most of the money goes.”

    Card for the “Spend findings from AI agent logs” skill

    Skill published by ruvnet 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 find where your AI agent sessions overspend
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.2 KB

    Origin and licence

    Listed unmodified

    Author
    ruvnet
    Source
    github.com/ruvnet/ruflo/tree/89b0cd02dd99ea1f63437fde6c05992ec53cc22b/plugins/ruflo-cost-tracker/skills/cost-advise
    Licence
    MIT

    Notice

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

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