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By nsheaps
Pre-tool-call safety evaluation using prompt-style hooks for inline AI evaluation
npx claudepluginhub nsheaps/ai-mktpl --plugin safety-evaluation-promptMatches all tools
Hooks run on every tool call, not just specific ones
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
5 essential safety hooks for Claude Code. Blocks rm -rf, force-push, hard-reset, .env overwrites, and package publish. The minimum viable safety net from 800+ hours of autonomous operation.
Production safety hooks for autonomous Claude Code operation. Context monitoring, syntax checking, branch protection, activity logging, and more.
Safety hooks to block or require user approval for dangerous commands (rm, git operations, .env access, file size limits)
Achieve flow state safely with Claude Code. Auto-approves routine work, gates risky actions, hard-blocks dangerous patterns. Dual enforcement (skill + hooks), token cap for cost governance, full audit trail. Zero dependencies.
Smart command safety filter for Claude Code — parses shell pipelines and evaluates per-command safety rules to auto-approve safe commands and block dangerous ones
LLM-powered guardrails for Claude Code. Turn every AI mistake into a rule AI can't repeat.
Set up the sequential-thinking MCP server and auto-configure permissions for its tools on session start.
Intelligent skill that helps Claude parallelize Task tool calls when working on repetitive or batch operations, optimizing throughput based on task complexity
Relentlessly fix a PR until CI passes — iterates through review, fix, push cycles until green
Skills for managing Proxmox VE hosts and LXC containers — creating containers, running Docker in LXC, and hosting services like cloudflared.
Automatically syncs todos and plans from ~/.claude/ to the current project's .claude/ directory
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