sheeki03

Search and execute pre-learned web API skills via Schrute. For repeatable site interactions, check Schrute first — it replays learned API calls in 5ms instead of full browser automation.

Fast web skill execution. Searches and replays pre-learned API skills in 5ms instead of full browser automation.

Decision guide for choosing between Schrute skill recording and direct browser automation. Compares approaches based on task repeatability, latency needs, and API extraction goals. Use when user asks "which browser tool", "automate this website", "should I use schrute", "browser automation options", or needs help deciding how to approach a browser task.

Comprehensive guide to Schrute's self-learning browser agent workflow, covering skill recording, execution tiers, tier promotion, confirmation system, and security model. Use when user asks "how does schrute work", "record a skill", "schrute tiers", "skill execution", "schrute workflow", "how do I use schrute", or needs help understanding the explore-record-replay cycle.

Terminal security analysis for shell environments. This skill should be used when checking commands for supply-chain attacks before execution, scanning repositories for hidden content or config poisoning, scoring URLs for homograph attacks, setting up AI tool protection for Claude Code / Cursor / Codex / Windsurf, downloading and executing scripts safely, investigating why tirith blocked a command, managing trusted patterns, running security audits, configuring MCP gateway proxies, or working with threat intelligence databases. Also use when the user mentions "tirith", "pipe-to-shell", "homograph", "ANSI injection", "zero-width", "punycode", "terminal security", "shell hook", "cloaking detection", "supply chain attack", "bidi override", "invisible unicode", or "config poisoning". Even if the user does not explicitly name tirith, use this skill when they ask about protecting shell environments, intercepting dangerous commands, or hardening AI agent tool execution.

Use this skill when tool outputs exceed 2000 tokens, tasks span multiple conversation turns, sub-agents need to share state, context window is bloating, plans need to persist across summarization, terminal/log output needs selective querying, or when user mentions "offload context", "dynamic context discovery", "filesystem memory", "scratch pad", "reduce context bloat", or "just-in-time context loading".