audit▌

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness with exact patch locations. \n \n Analyzes every BigQuery job trigger and external API call to identify cost exposure, loop-driven query multiplication, and missing maximum_bytes_billed limits \n Enforces dry-run and execute modes with explicit prod confirmation, partition filter validation, and scan-size optimization \n Validates idempotent writes using MERGE, staging tables, or dedup logic; flags unsafe a

Pre-trade token security scanning across Ethereum, BSC, Base, and Solana to detect honeypots, rug pulls, and malicious contracts. \n \n Analyzes contract risks, trading risks, and scam indicators with three-tier risk classification (LOW, MEDIUM, HIGH) \n Returns buy/sell tax percentages, contract verification status, and detailed risk item breakdowns with descriptions \n Supports four blockchains: Ethereum, BSC, Base, and Solana via single unified API endpoint \n Results valid only when both has

../../../ra-qm-team/qms-audit-expert/SKILL.md

Inspect an LLM eval pipeline and produce a prioritized list of problems with concrete next steps.

Search engine optimization based on Lighthouse SEO audits and Google Search guidelines. Focus on technical SEO, on-page optimization, and structured data.

Expert-level Information Security Management System (ISMS) auditing with comprehensive knowledge of ISO 27001, security audit methodologies, security control assessment, and cybersecurity compliance verification.

Web performance audits measure load times, identify bottlenecks, and guide optimization efforts to create faster, better user experiences.

Autonomously analyze the entire codebase to understand its architecture, patterns, and purpose, then systematically transform it into production-grade, corporate-level professional code. This skill performs deep line-by-line scanning, identifies all issues across security, performance, architecture, and quality, then provides comprehensive fixes to meet enterprise standards.

Automated WCAG 2.2 auditing with violation detection, remediation patterns, and compliance guidance. \n \n Covers all four WCAG principles (Perceivable, Operable, Understandable, Robust) with detailed checklists for Levels A, AA, and AAA conformance \n Includes code examples for common violations: missing alt text, insufficient contrast, keyboard traps, form labels, and focus management \n Provides automated testing patterns using axe-core, Playwright, and CLI tools alongside manual verification

Enable and configure security audit logging for Elasticsearch via the cluster settings API. Audit logs record security events such as authentication attempts, access grants and denials, role changes, and API key operations — essential for compliance and incident investigation.