Skill UI

A deep-dive playbook covering expert techniques for Path Traversal and Local File Inclusion (LFI). It details multiple bypass methods (encoding, null bytes, wrappers), target file enumeration on Linux and Windows, and advanced Remote Code Execution (RCE) escalation paths, such as log poisoning via PHP wrappers.

A comprehensive playbook detailing advanced methods to bypass Web Application Firewalls (WAFs) when standard injection payloads (SQLi, XSS, RCE) are blocked. Techniques include encoding (URL, Unicode, Hex), protocol abuse (HTTP/2, chunking), parameter pollution, and path normalization tricks, allowing security professionals to test robust application defenses.

This tool functions as a Command Line Interface (CLI) alias for implementing the specific 'pua:mama' protocol within advanced coding models like Codex or Claude Code. It loads and enforces a structured 'mama skill/protocol,' maintaining rigorous verification standards while adjusting the visible narrative style to a specific 'Chinese-mom nagging mode.' It manages configuration by interacting with `~/.pua/config.json`, ensuring existing user fields are preserved.

This alias serves as a dedicated CLI command for Codex, simulating the core functionality of the Claude Code `/pua:on` command. It enables 'PUA always-on mode' by managing the `~/.pua/config.json` file. This utility is essential for maintaining continuous operational readiness and managing coding assistant feedback cycles.

This alias serves as a specialized Codex CLI interface for implementing the P7 protocol, mimicking the workflow of a P7 senior engineer. It enforces a highly structured development cycle: detailed planning, robust implementation, mandatory self-review (via three critical questions), and final, verifiable completion markers. Ideal for complex coding tasks requiring maximum rigor and accountability.

A specialized CLI alias designed to implement the PUA P9 protocol, simulating the role of a P9 tech lead for AI coding assistance (Codex/Claude Code). This tool helps users structure complex development tasks by focusing on writing precise prompts, managing execution steps, and strictly adhering to a defined professional protocol, minimizing direct code implementation unless reassigned. It ensures rigorous process management and evidence-based output.

This CLI alias acts as a dedicated command to disable the PUA always-on mode feature, typically used within AI coding environments like Claude Code. By modifying the user's configuration file (`~/.pua/config.json`), it sets `always_on=false` and `feedback_frequency=0`. This function provides users with granular control, effectively turning off continuous monitoring or background feedback mechanisms managed by the AI assistant.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.

This comprehensive guide helps elevate a UI from merely functional to polished, purposeful, and aesthetically coherent with its domain. It dictates pre-coding design choices, such as defining the audience, tone (e.g., minimal, industrial), and purpose. It provides rigorous guidelines on establishing visual hierarchy, typography, color palettes, and interactions, ensuring the final product feels intentional and professional, rather than generic or templated.

TextMe is a local daemon that transforms your smartphone into a powerful remote control for Claude Code sessions. By bridging inbound iMessages (from whitelisted numbers) through services like Sendblue, users can interact with their AI session on their laptop, executing code, navigating filesystems, sending voice notes, and receiving real-time updates. Ideal for supervising headless workstations or coding while away from your desk.

This tool audits the activation metadata of coding skills used by AI agents. It grades skills (A-F) based on description clarity, simulates which skill a prompt will trigger, and identifies metadata collisions where one skill might silently overshadow another. It is essential for ensuring robust, predictable, and reliable AI agent behavior during development and CI processes.

This skill is designed to prevent AI coding assistants from exhibiting sycophantic agreement bias. When active, it forces a structured, critical assessment of user claims. The process involves extracting the core claim, assessing it independently with evidence (for/against), and concluding solely based on that assessment, ensuring objective and evidence-based responses.