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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Agent Loop Cost Rescue

    1

    Find which loop, tool, or retry pattern is burning tokens, with measured numbers only and modelled savings kept separate from billed cost.

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    Agent Loop Cost Rescue

    Agent Loop Cost Rescue

    Example session with this skill installed

    Tool results 15,000 tokens including three identical search calls.

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

    Verbatim script output on the shipped sample:

    tool_results tokens=15000 share=93.8%
planning tokens=1000 share=6.2%
total_tokens=16000
REPEAT x3 tool=search args=query-x

    Reading: tool results own 93.8 percent of sampled tokens, and one identical search call repeats three times. No saving is claimed from this sample; the full worked example in SKILL.md shows a measured before and after on the same task set, with price assumptions stated.

    the full worked example in SKILL.md

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

    About this skill

    Agent Loop Cost Rescue is a step-by-step workflow for agentic loop token and run cost analysis. It ranks causes by measured impact before any fix is attempted, so effort goes to the largest contributor first. It includes diagnostic trees, thresholds to state in advance, decision tables, templates, checklists, and a scoring rubric, plus a runnable script that performs the core ranking or measurement on real input. The worked example in the skill shows the method end to end on a realistic case, including what remains unresolved after the first fix.

    Results depend on the quality and coverage of the input data; missing logs, missing timings, or a biased sample will limit conclusions. Thresholds in the skill are defaults and must be adjusted to the system at hand. The script performs the core measurement only; judgement about causes, guards, and rollout remains with the user.
    Money figures are modelled from measured tokens and a stated price assumption unless billed cost is available; a modelled figure must never be quoted as a billed saving, and the skill voids any reduction that lowers success rate.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scan passed 7 days ago

    Permissions

    Terminal / Shell
    Listed7 days ago
    Updated6 days ago

    What's inside

    Frequently Asked Questions

    No. It diagnoses, ranks, and guides a fix, and its script measures the inputs. Applying a fix stays a deliberate change with a rollback note.

    The inputs listed in the skill: a baseline window, a sample of the failing cases, and whatever timing, log, or label data the workflow ranks. If an input is missing, the skill says to create it first rather than guess.

    It forces ranking by total measured impact, one change at a time, and re-measurement on the same sample shape, with guard metrics checked. A generic checklist rarely requires any of those.