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    Weekly FinOps Token Budget — Multi-Model Cost Tracker

    1

    Automated weekly token ledger tracking task attribution, multi-model splits (Flash vs Pro), and local vs cloud compute.

    $25

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    Weekly FinOps Token Budget — Multi-Model Cost Tracker

    Weekly FinOps Token Budget — Multi-Model Cost Tracker

    Example session with this skill installed

    Generate a weekly FinOps token report for Week 42. Break down tokens by task, model used, server vs local Mac compute split, and memory pressure.

    • Read your context and instructions
    • Compiled the weekly finops token

    Weekly FinOps Token & Compute Report (Week 42)

    • Period: 2026-10-18 to 2026-10-25
    • Total Recorded Tasks: 38 tasks
    • Weekly Token Volume: 190,800 tokens (19.1% of 1,000,000 budget ceiling)
    • Estimated Spend: ~$0.28 USD
    Model ArchitectureTasks RunInput/Output TokensEstimated CostShare
    Gemini 3.8 Flash32 tasks142,000 tok.$0.0274.4%
    Claude Sonnet 3.76 tasks48,800 tok.$0.2625.6%
    TOTAL SPRINT ROLLUP38 tasks190,800 tok.$0.28100%

    Compute Infrastructure Split:

    • ☁️ Cloud API Server: 36s (42% compute latency)
    • 💻 Local Workstation (AST, I/O, Git, FFmpeg): 50s (58% compute duration)

    Next Steps:

    Sprint burn rate is optimal (19.1%). Archive ledger snapshot to cloud backup if needed.

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

    About this skill

    Weekly FinOps Token Budget — Multi-Model Cost Tracker

    Automated weekly token ledger tracking task attribution, multi-model splits (Flash vs Pro), and local vs cloud compute across 7-day rolling sprints.

    ⚡ Key Features & Engineering Guardrails:

    • Deterministic Task Attribution: Logs every completed LLM task turn with exact token volume, active model tier, and compute duration in sub-millisecond local RAM.
    • Multi-Model Cost Economics: Automatically calculates blended USD API spend per model (Gemini Flash, Claude Sonnet, GPT-4o, DeepSeek) using real-time pricing formulas.
    • Cloud vs Local Compute Split: Pinpoints engineering bottlenecks by isolating cloud API inference latency from local workstation I/O, Git operations, and asset builds.
    • Sprint Budget Ceiling & Tripwires (--budget): Configurable weekly token ceilings with a 75% early warning threshold and a 100% hard ceiling to prevent runaway reasoning loops.
    • 100% Air-Gapped & Zero Telemetry: Local JSON database stored in user directory. Zero external analytics or cloud leakage.

    📦 What's Included in the ZIP:

    • scripts/token_tracker.py — Production zero-dependency CLI tracker & cost attribution engine
    • references/finops_token_management.md — Enterprise specification for model tiering and token economics
    • SKILL.md — Lean Core integration rules (< 40 lines) for coding agents
    • Automated weekly sprint rotation and Markdown report generators

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Requires

    python3
    macOS
    Linux
    Windows

    Listed1 day ago

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