Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    agent cost governor

    1

    Instruments code with prompt caching, model downgrades, budget guards, and cost logging to reduce LLM spend.

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    agent cost governor

    agent cost governor

    Example session with this skill installed

    Add prompt caching to the system prompt and document context in this transcription agent. Also, implement a budget guard that alerts at $5 and halts at $50.

    • Read your context and instructions
    • Compiled the agent cost governor

    I have instrumented the transcription_call with cache_control breakpoints. The system prompt and the static reference document now include headers for caching. I also added a BudgetGovernor class to your loop that logs alerts every $1 above $5 and raises a LimitExceeded error at $50.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Reduce RAG costs by wiring prompt caching into static context blocks.Prevent runaway agent loops with multi-stage budget guards and alerting.Identify and implement safe model downgrades for repetitive formatting tasks.Track real-time spend per call without exposing sensitive prompt data.

    About this skill

    The problem

    LLM bills scale faster than utility, but manual instrumentation for cost control is error-prone. Developers often waste money on redundant prompt tokens or risk application stability with poorly implemented budget halts.

    What it does

    • Generates prompt caching cache_control wiring at static content breakpoints.
    • Implements model-tier downgrade proposals for low-complexity tasks like classification or extraction.
    • Produces budget guards for agent loops with flag-and-continue alerting and backstop ceilings.
    • Instruments cost-per-call logging that captures token usage without leaking prompt content.

    Why this beats prompting it yourself

    This skill prevents "fixer" hallucinations like placing cache breakpoints below a model's minimum token threshold, which silently fails. It enforces a strict safety protocol for budget guards, ensuring you don't trade production availability for cost savings by accident.

    Use cases

    • Add Anthropic prompt caching to a high-volume RAG pipeline.
    • Downgrade specific extraction tasks from Sonnet to Haiku based on task complexity.
    • Wire a budget governor into a long-running autonomous agent loop.
    • Implement granular cost-per-call logging across a multi-model stack.

    Known limitations

    Does not perform initial cost audits or ROI estimation. Not for managing financial transaction risk or credential safety in money-moving agents.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Recently published to Agensi

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    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

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