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    1. Home
    2. Tools
    3. claude-token-efficient
    claude-token-efficient icon

    claude-token-efficient

    Prompt Engineering

    A single CLAUDE.md file you drop into your project root to reduce Claude's output verbosity and cut token usage on output-heavy workflows.

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    At a Glance

    Pricing
    Open Source

    Completely free to use, modify, and distribute under the MIT License.

    Engagement

    Available On

    Windows
    API
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Prompt EngineeringAI Coding AssistantsPrompt Management

    Alternatives

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    Developer
    Drona GangarapuDrona Gangarapu builds open-source developer tools focused o…

    Listed Apr 2026

    About claude-token-efficient

    claude-token-efficient is a single-file configuration tool that reduces Claude's default verbosity by dropping a CLAUDE.md file into your project root. Claude Code reads it automatically, eliminating sycophantic preambles, unsolicited suggestions, and over-engineered responses. Benchmarks show up to 63% reduction in output word count with no signal loss, making it especially useful for automation pipelines and repeated structured tasks.

    • Zero-setup drop-in: Copy CLAUDE.md to your project root via curl or git clone — no code changes, no configuration required.
    • Eliminates sycophancy: Removes "Sure!", "Great question!", and closing fluff that adds tokens without value.
    • Targeted edits over rewrites: Instructs Claude to prefer minimal, surgical code changes rather than rewriting entire files.
    • Multiple profiles: Choose from CLAUDE.coding.md, CLAUDE.agents.md, CLAUDE.analysis.md, and CLAUDE.benchmark.md for different workflows.
    • Versioned config sets: Three optimization strategies (v5 multi-file structured, v6 one-shot execution, v8 ultra-lean) let you tune cost vs. capability.
    • Composable rules: Works with Claude's global (~/.claude/CLAUDE.md), project-level, and subdirectory-level file hierarchy so rules stay close to where they apply.
    • Override-friendly: User instructions always win — ask for verbose output any time and the file won't fight you.
    • Model-agnostic rules: Written as plain instructions; should work on any model that reads context, though benchmarks were run on Claude.
    • Community-driven: Open to PRs and issue submissions; new fix rules are versioned and credited to contributors.
    • Honest trade-offs documented: README explicitly states when the file costs more than it saves (low-volume, single-query, or fresh-session workflows).
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    Pricing

    OPEN SOURCE

    Open Source (MIT)

    Completely free to use, modify, and distribute under the MIT License.

    • Single CLAUDE.md drop-in file
    • Multiple task-specific profiles
    • Versioned configuration sets (v5, v6, v8)
    • Community-contributed rules
    • Benchmark results included

    Capabilities

    Key Features

    • Single CLAUDE.md file, no code changes required
    • Eliminates sycophantic preambles and closing fluff
    • Reduces output verbosity by up to 63% in benchmarks
    • Multiple task-specific profiles (coding, agents, analysis, benchmark)
    • Versioned configuration sets (v5, v6, v8) for different cost/capability trade-offs
    • Composable with global, project-level, and subdirectory CLAUDE.md files
    • User instructions always override file rules
    • Model-agnostic prompt rules
    • Community-contributed fix rules with versioning and credit

    Integrations

    Claude Code
    Anthropic Claude
    llama.cpp
    Mistral
    API Available
    View Docs

    Reviews & Ratings

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    Developer

    Drona Gangarapu

    Drona Gangarapu builds open-source developer tools focused on AI cost efficiency and workflow optimization. The claude-token-efficient project addresses real pain points reported by the Claude community around verbosity and token waste. The project is open to community contributions and maintains transparent benchmarking methodology.

    Read more about Drona Gangarapu
    WebsiteGitHub
    1 tool in directory

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