Find agent skills by outcome

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First off, thanks for taking the time to contribute! ❤️

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See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

/node_modules

public-hoist-pattern[]=prisma

public-hoist-pattern[]=@aws-sdk/client-s3

.agents/AGENTS.md

generic skill

.nvmrc

v24.6.0

Generated code

packages/shared/prisma/generated

Dockerfile

.dockerignore

[codespell]

skip = .git,.pdf,.svg,package-lock.json,*.prisma,pnpm-lock.yaml,./worker/src/tests/chatml/framework-traces

site_name: LLM Guard

site_author: Protect AI, Inc.

Security Policy

We take the security of our software products seriously, which includes not only the code base but also the scanners provided within. If you have found any issues that might have security implications...

.markdownlint.yml

MD004: false # Unordered list style

Byte-compiled / optimized / DLL files

pycache/

repos:

- repo: https://github.com/pre-commit/pre-commit-hooks

LLM Guard - The Security Toolkit for LLM Interactions

LLM Guard by Protect AI is a comprehensive tool designed to fortify the security of Large Language Models (LLMs).

Contributing

:tada: Thanks for taking the time to contribute! :tada:

root = true

[*]

ignore:

- "guardrails/version.py"

Untitled Skill

Structure

Guardrails docs are served as a docusaurus site. The docs are compiled from various sources

Contributing to Guardrails

Welcome and thank you for your interest in contributing to Guardrails! We appreciate all contributions, big or small, from bug fixes to new features. Before diving in, let's go through some guidelines...

pycache

*.pyc

openaiapikey.txt

pycache

repos:

- repo: https://github.com/astral-sh/ruff-pre-commit