Grok Bot Local First (v0.1.3)

    2

    Optimization framework for Grok Bot to delegate deterministic tasks to local Python CLI workers.

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    Works with the AI tools you already use

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

    Grok Bot Local First (v0.1.3)

    Example session with this skill installed

    Run worker-lint on the new script in drop/ and tell me if it's safe to promote to lib.

    • Read your context and instructions
    • Compiled the grok bot local
    • Generated the document

    I ran the local worker-lint action on the file drop/new_handler.py. The local worker returned a last-line JSON digest indicating the script meets the contract requirements.

    Worker Lint Results

    MetricStatusDetails
    Contract Version0.1.3Compliant
    Manifest CheckPASSContains id, title, source, actions
    Import SafetyPASSNo unauthorized external dependencies
    Last-line JSONPASSValid ok, alert, and data keys found
    Action: --list-actionsPASS3 actions registered: status, audit, sync
    RecommendationPROMOTEReady for move to lib/

    Next steps

    1. Move drop/new_handler.py to the lib/ directory.
    2. Run python grokkit.py --action worker-index to refresh the active library.
    3. Test the audit action via the runner to verify live execution.

    grok-bot-local-first-v0-1-0.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    About this skill

    The problem

    LLM tokens are expensive and context windows are fragile. Developer workflows often waste high-reasoning model turns on deterministic tasks like file listing, secret scanning, or log parsing that a local script could handle for free.

    What it does

    • Standardizes a Python 3.12 CLI worker contract for local task execution.
    • Provides a library of policy gates, safety scanners, and meta-triage tools.
    • Enforces "judgment-only" routing to ensure the LLM only triggers when local logic signals a failure or a need for human review.
    • Implements progressive disclosure to prevent context bloat by returning capped, structured JSON digests.

    Frameworks & tools

    Python 3.12 (stdlib focused), Grok Bot 0.27.0+, Windows-first file paths (path-agnostic core).

    Why this beats prompting it yourself

    Writing individual scripts is easy, but managing the orchestration between a local runner and an LLM requires a strict communication contract. This skill provides that pre-defined interface, preventing the model from hallucinating worker capabilities or reimplementing local logic in the chat buffer.

    Use cases

    • Pre-flight safety checks to scan for secrets before the LLM processes code.
    • Managing context budgets by providing summarized MD outlines instead of full file bodies.
    • Automated triage of "drop" folders to validate external script contributions against a linting contract.
    • Staleness detection to ensure the bot isn't working on outdated artifacts.

    Known limitations

    Requires a local Python 3.12 runner to be set up on the host machine (this gets setup by Grok Bot if Python is installed). Designed specifically for the Grok Bot harness but adaptable to other CLI-capable 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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    Listed18 days ago
    Updated14 days ago

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