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YES AI Governance Guide

sickn33/antigravity-awesome-skills

YES.md is an AI governance engine that layers safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks so assistants verify fixes, avoid guesses, and document consequences before touching configs, deployments, or sensitive data.

Run Experiment Deployment

wanshuiyin/Auto-claude-code-research-in-sleep

Deploys and runs ML experiments on local, remote, Vast.ai, or Modal GPUs by detecting the target environment, syncing code, ensuring W&B logging when needed, and launching training jobs safely.

Typed AI Agents

sickn33/antigravity-awesome-skills

PydanticAI brings Pydantic-style validation and type safety to LLM agent workflows, offering structured outputs, dependency injection, and tool integrations across providers so Python teams can test, monitor, and reuse agents reliably.

AuraKit Development Engine

davepoon/buildwithclaude

AuraKit converts a single /aura command into a secure full-stack Claude pipeline with 34 modes, OWASP SEC-01~15 safeguards, runtime hooks, tiered models, token savings, and multilingual reviewers.

LLM Security Guardrails

implementing-llm-guardrails-for-security

mukul975/Anthropic-Cybersecurity-Skills

Builds NeMo Guardrails-based input/output validation pipelines to block prompt injection, redact PII, enforce content policies, and verify structured outputs so LLM-powered services stay safe before downstream use.

Prompt Governance Toolkit

prompt-governance

alirezarezvani/claude-skills

Helps teams treat prompts like production code by providing registry, eval, and governance workflows for versioning, testing, and promoting prompts safely across environments.

Full Output Enforcement

full-output-enforcement

Leonxlnx/taste-skill

Enforces full, unabridged code and document generation by overriding LLM truncation safeguards, forbidding placeholder patterns, and managing token-limit splits so every requested deliverable is returned complete.

Model Armor Prompt Sanitizer

gws-modelarmor-sanitize-prompt

googleworkspace/cli

Sanitize user prompts through Google Model Armor templates via the gws CLI command, ensuring outbound safety and supporting stdin, text, or explicit JSON inputs for prompt filtering.

ModelArmor Response Sanitizer

gws-modelarmor-sanitize-response

googleworkspace/cli

Sanitize Google Model Armor responses via CLI templates to ensure outbound safety before delivering model output to end users.

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