“guardrails and AI safety”

Safety guardrails: runtime overrides for AI-safety plugin blocks, and per-language security review for python, javascript/typescript, and go.

Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox…

Configure the shared guard against catastrophic shell commands in local AI agents.

NVIDIA's runtime safety framework for LLM applications.

Establish multi-layered defensive shields: input sanitization, prompt injection detection, PII masking, schema gates, and egress filters.

Pre-commit hooks, CI gates, lint rules, database constraints and branch protection.

Rendered guardrail framework: keep a repo's hard rules in one-rule-per-file GRL sources behind a compact router, and render only the rules a task needs.

Use when an AI coding agent is writing or refactoring production code and its known failure modes need to be held in check — over-engineering, silent scope…

Seamlessly transitions conversation from AI to human staff when user requests a representative, complexity exceeds AI scope, or safety guardrails trigger.

Stop an AI agent damaging your repo: PreToolUse hooks, permission deny rules, protected paths, verification gates.

Use when reviewing AI-generated code before merge or execution: plan AST/security checks, isolated behavior tests and evidence, with language-specific…

Wrap agent loops in deterministic gates, scoped permissions and stop rules.

Security-first workflow for ssh-mcp-pro tasks involving remote execution, sensitive files, credentials, service impact, and production safety.

Cognitive load guardrails.

Set up Claude Code hooks to block dangerous Git commands (push, reset --hard, clean, branch -D, etc.) before they execute.

Set up Claude Code permission rules that make dangerous git commands (push, reset --hard, clean, branch -D, checkout ., restore .) ask the user before they run.

Install a PreToolUse hook that mechanically blocks destructive git commands (push, reset --hard, clean -f, branch -D, checkout .) before they execute.

This skill should be used when designing, planning, implementing, or reviewing any system that involves LLM agents, tool use, prompt construction, or agentic…

Use get_otb_summary and get_segment_mix with strict row-versus-reservation and stay-date-versus-property-date guardrails.

Use this skill to prevent destructive operations when working on production systems or running agents autonomously.

Set up git safety hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.

EMBEDDED — Pairs success metrics with guardrail metrics to check for trade-offs.

LLM and cloud cost awareness — model tiering, token budgets, right-sizing, and when a cheaper model suffices.

Set up guardrails that block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they run.