Skill UI

This internal agent skill automates the complex process of determining the most likely owner or team for a bug cluster. It follows a strict 6-level precedence model, starting with cached overrides, and sequentially querying sources like Service Owners, Oncall status, CODEOWNERS, recent assignees, and committers. The process includes staleness detection and confidence scoring, providing highly accurate and auditable routing recommendations for internal development triage.

This skill performs deep, clause-by-clause risk scoring across 10 critical legal categories (e.g., Indemnification, IP, Financial Liability). It detects hidden "poison pills" and estimates potential financial exposure, providing a comprehensive, quantifiable risk heat map. It is essential for executing due diligence before signing complex agreements.

This tool performs a rigorous Level 2 semantic epistemic review of Agent-Native Research Artifacts (ARAs). It assesses six critical dimensions—including evidence relevance, falsifiability, and methodological rigor—to determine the content's intellectual soundness. It is used after initial structural validation to provide objective, constructive criticism, scoring the work from Strong Accept to Reject.

This framework enforces high output quality, intellectual honesty, and continuous improvement across all AppSec agents. It mandates structured processes, including self-critique loops, anti-rationalization guards, and self-reflection quality gates (≥8 scoring). Applicable during code review, SAST, SCA, and threat modeling, it ensures rigorous and verifiable security analysis.

This domain-agnostic skill ranks impediments, risks, and gaps by using a specialized value-stream scoring model. It evaluates countermeasures based on four criteria: Return on Investment (ROI), Cost to Implement, Ease of Deployment, and Risk Factor. A proprietary formula calculates a final Priority score (1-100), allowing users to quickly determine the optimal sequence for remediation, improvement backlogs, or triage items.

This skill performs a rigorous, 5-dimension expert critique on any digital artifact, such as landing pages, presentations, or prototypes. It systematically evaluates five critical areas—Philosophy, Visual Hierarchy, Detail Execution, Functionality, and Innovation—scoring each 0-10. The output is a comprehensive, evidence-backed HTML report providing actionable insights, a radar chart, and prioritized lists (Keep/Fix/Quick-wins) to guide systemic design improvements.

Manage and apply custom policies to customize readiness scoring across development artifacts. Users can set pass-rate thresholds, override criteria impact, or disable irrelevant checks to tailor scoring to specific organizational standards or project needs. Essential for CI gating and ensuring compliance.

A professional methodology for writing penetration test and red team reports, covering executive summaries, technical findings, CVSS scoring, evidence handling, remediation tracking, retest notes, and delivery formats for clients and internal teams.

A comprehensive methodology designed for authorized external reconnaissance and red-teaming operations. It covers the full attack surface mapping lifecycle, including asset discovery, confidence scoring (Tentative, Firm, Confirmed), and developing structured, evidence-based client deliverables. Essential for ethical hacking, bug bounty, and assessing an organization's external digital footprint.

This skill provides a rigorous, data-driven framework to interrogate product roadmaps and feature commitments using six critical questions. It forces teams to think beyond mere features, focusing on Jobs To Be Done (JTBD), North Star Metrics, Product-Market Fit (PMF) signals, RICE scoring, opportunity cost, and defining clear kill criteria. It is ideal for quarterly planning, major feature launches, and assessing product pivots to ensure strategic alignment.

This tool facilitates an honest and rigorous retrospective on completed strategic decisions. It requires scoring the outcome against pre-committed success and kill criteria, auditing original assumptions, and revisiting dissenting opinions. Used at 90-day checkpoints or quarterly reviews to formalize lessons learned and close the strategic decision loop.

A specialized skill for optimizing content to be cited as authoritative sources by major AI language models (ChatGPT, Perplexity, Claude, Gemini). Unlike traditional SEO, AEO focuses on E-E-A-T signals, factual density, and structured data to ensure LLM integration. Features include content auditing, E-E-A-T scoring, structural rewriting, and citation tracking.