2

    token-budget-guard

    by Mr Shippers

    Avoid context bloat and high costs with a 3-line verdict on expensive AI operations before you run them.

    Updated May 2026
    Security scanned
    One-time purchase

    $5

    · or 25 credits

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Prevent expensive repo dumps that would hit context limits
    • Determine if a large log file should be summarized by a sub-agent
    • Includes example output and usage patterns
    • Instant install
    • One-time purchase

    See it in action

    A real example of what this skill takes in and produces.

    Sample output

    VERDICT: SUBAGENT EST: ~28k tokens WHY: Build logs are verbose; a sub-agent should extract only the specific stack traces.

    About This Skill

    What it does

    Token Budget Guard is a high-performance utility designed to save developers from unintentional "context burn." It acts as a pre-execution gatekeeper that analyzes planned operations—like repo ingestions, documentation fetches, or large log reads—and provides an immediate 3-line verdict on the most cost-effective way to proceed.

    Why use this skill

    Large Language Models (LLMs) often lack the self-awareness to tell you when a command will bloat your context or waste expensive tokens. This skill bridges that gap by providing a standardized estimation framework. Instead of blindly running a grep or reading a 5,000-line log file, your agent will pause to evaluate if the data should be processed in the current session, offloaded to a cheap sub-agent, or skipped entirely.

    Problem it solves

    • Prevents "context bloat" which degrades model reasoning performance.
    • Saves money by flagging operations that would ingest hundreds of thousands of unnecessary tokens.
    • Helps you decide when to use expensive models (like Opus) vs. specialized sub-tasks.

    Output format

    The output is strictly limited to three lines (Verdict, Estimate, and Reason), ensuring it never interrupts your development flow or adds more noise to the conversation.

    Use Cases

    • Prevent expensive repo dumps that would hit context limits
    • Determine if a large log file should be summarized by a sub-agent
    • Estimate token usage for web documentation fetches before downloading
    • Decide when to keep data inline for repeated reference vs. discarding it

    Reviews

    No reviews yet - be the first to share your experience.

    Only users who have downloaded or purchased this skill can leave a review.

    Security Scanned

    Passed automated security review

    Permissions

    No special permissions declared or detected

    Creator

    mr shippers.

    Frequently Asked Questions

    More Premium Skills

    $5