json utils skill
Deterministic, zero-whitespace JSON serialization for reliable content hashing and cache keys.
Free
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsjson 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
| Property | Value | Benefit |
|---|---|---|
| Whitespace | None | Prevents 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 Ordering | Insertion-based | Ensures that {"a":1,"b":2} never accidentally becomes {"b":2,"a":1} during serialization. |
| Type Safety | Strict | Fails on complex objects (like class instances) to prevent non-portable representations. |
Next steps
- Import the
to_jsonhelper from the scripts directory into your project. - Wrap your dictionary in the function before passing it to a hashing algorithm like
hashlib.sha256. - 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.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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