llm-prettier

Skilluncategoriseddebuggersutilitiesaianthropic

A generic JSON prettier and interactive HTML viewer, built especially for parsing embedded JSON from LLM payloads and responses.

Directory Presence

Cross-referenced across 55 tracked directories

Directory	Status	First Seen	Last Confirmed	Link
P PyPI Skills Registry		3/13/2026	3/13/2026

Adoption Metrics & Statistics

#109472

Popularity Rank

1 / 55

Listed In

Emerging

Adoption Stage

3/13/2026

First Seen

GitHub Stars

113

Monthly Downloads

Contributors

3/6/2026

Last Commit

Recently added to the ecosystem

Health Score

21/100

Directory Presence5/20

Community3/30

Usage8/20

Development Activity5/30

vs Category Average

This Package Category Average

Security Analysis

Score: 100/100

0 dependency vulnerabilities found

Info

Author: Amaruki
License: MIT License Copyright (c) 2026 Amaruki Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: llm-prettier
Registry: pypi
Last Commit: 3/6/2026
Directories: 1

Links

Repository Homepage

Author

Amarulloh M Khoeri

1 packages

1 stars

11 followers

31 repos

Indonesia

View Profile GitHub

AI Security Scan

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Run an AI-powered security scan to analyze this package's source code for vulnerabilities, prompt injection vectors, data exfiltration risks, and behavior mismatches.

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