json utils skill

    1

    Deterministic, zero-whitespace JSON serialization for reliable content hashing and cache keys.

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    3 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    json utils skill

    Example session with this skill installed

    Create a deterministic JSON string for a config object with nested arrays and keys: {'z': 100, 'a': [5, 4, 3], 'meta': {'id': '99'}}. Explain why this is safe for hashing.

    • Read your context and instructions
    • Compiled the json utils

    I have generated a compact, deterministic JSON string for your configuration object. This output is suitable for hashing because it removes all optional whitespace and preserves the internal structure exactly as defined.

    Deterministic JSON Output

    
    # Input Object:
    # {
    #     "z": 100,
    #     "a": [5, 4, 3],
    #     "meta": {"id": "99"}
    # }
    
    # Deterministic String:
    '{"z":100,"a":[5,4,3],"meta":{"id":"99"}}'
    

    Hash Safety Analysis

    PropertyValueBenefit
    WhitespaceNonePrevents different hash results caused by varied indentation or spacing.
    Separators, and :Uses minimal separators without space padding (e.g., {"a":1} vs {"a": 1}).
    Key OrderingInsertion-basedEnsures that {"a":1,"b":2} never accidentally becomes {"b":2,"a":1} during serialization.
    Type SafetyStrictFails on complex objects (like class instances) to prevent non-portable representations.

    Next steps

    1. Import the to_json helper from the scripts directory into your project.
    2. Wrap your dictionary in the function before passing it to a hashing algorithm like hashlib.sha256.
    3. Use the resulting string as a unique identifier for your caching layer.

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

    About this skill

    The problem

    Standard JSON serializers often inject inconsistent whitespace or non-deterministic key ordering. This makes it impossible to use serialized strings for reliable cache keys, content hashing, or byte-for-byte snapshot testing.

    What it does

    • Produces stable, minimal JSON strings without unnecessary whitespace.
    • Ensures deterministic output where the same input object always yields the same byte sequence.
    • Maintains key order based on Python 3.7+ dictionary insertion semantics.
    • Fails fast by raising a TypeError on non-serializable objects instead of producing corrupted output.

    Frameworks & tools

    Python 3.7+, standard JSON library.

    Why this beats prompting it yourself

    LLMs often struggle to maintain strict formatting constraints like zero-whitespace or exact key ordering across multiple turns. This skill provides a verified implementation that guarantees structural integrity and byte-stability for system-critical tasks like hashing.

    Use cases

    • Generating stable cache keys from complex configuration dictionaries.
    • Creating content hashes for data integrity checks in distributed systems.
    • Performing literal string comparisons in snapshot tests.
    • Reducing payload size for embedded systems or high-volume logging.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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      Ask your agent to use it

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    Security scanned

    Verified clean 24 days ago

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    Listed24 days ago

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