What problem does it solve? Investigating infrastructure issues often requires reading local configuration files, tailing logs, and searching file contents, but doing this manually is slow and error-prone. This Skill gives an AI agent secure, structured access to local filesystem artifacts like Terraform files, Kubernetes manifests, nginx configs, and log files. ## Core Features & Use Cases - File Reading & Tailing: Read files with line numbers, offsets, and limits, or tail the last N lines of log files for rapid diagnosis. - Search & Discovery: Case-insensitive grep across files and recursive directory listing with pattern matching to locate configs and IaC templates. - Metadata & Writing: Inspect file size, permissions, and modification time, plus write or append text to files for operational output. - Security Model: System-level secrets (SSH keys, AWS credentials, .env files) are blocked by default, with an admin mode gated behind an environment variable. - Use Case: An agent investigating a 502 error can tail /var/log/nginx/error.log, search for the error pattern, read the nginx.conf, and verify file permissions before proposing a fix. ## Quick Start Ask the agent to tail the last 100 lines of /var/log/syslog and search for any error entries.