Results for “analysis”

Interprets Culture Index survey data, behavioral profiles, and personality assessments from JSON or PDF. Supports individual profile interpretation, team composition analysis, burnout detection, hiring profiles, manager coaching, interview transcript analysis, and conflict mediation.

Analyzes production code to find gaps in existing tests by reasoning about hypothetical mutations and checking whether tests would catch them.

Orchestrates a dimensional-analysis pipeline to annotate codebases with unit/dimension comments, discover dimensional vocabulary, and detect arithmetic bugs from unit mismatches or precision loss.

Scans a codebase for security vulnerabilities using CodeQL's interprocedural data flow and taint tracking analysis, with support for multiple languages, scan modes, and data extension models.

Performs deep root cause analysis on NVIDIA TAO Visual ChangeNet classification experiments, using image-evidence-driven investigation to diagnose model failures and produce actionable reports.

Detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using the Resemble AI platform.

Generates video analysis reports by routing to a VLM backend for per-clip analysis or an analytics backend for incident-range reports, with deployment profile verification and URL rewriting.

Analyze a codebase and generate a structured map of files relevant to a task before making changes.

Projects external audit findings from SARIF static analysis results and weAudit annotation files onto Trailmark code graphs as annotations and subgraphs, enabling cross-referencing with pre-analysis data like blast radius and taint.

Provides file paths to language-specific reference files for polyglot test analysis skills, enabling framework-aware detection of test markers, assertions, and patterns across .NET, Python, TypeScript, Java, Go, Ruby, Rust, Swift, Kotlin, PowerShell, and C++.

Ports existing Semgrep rules to new target languages with applicability analysis and test-driven validation.

Analyzes Perfetto traces to find the root cause of latency, memory, or jank issues in Android apps.

Manage datasets, tables, and jobs in BigQuery. Run SQL queries, manage BigQuery resources, and perform basic data ingestion and analysis.

Runs a Trailmark summary analysis on a codebase to auto-detect languages, count entry points, and list dependencies.

Analyze text and images for harmful content using Azure AI Content Safety, with customizable blocklists and severity thresholds.

Analyzes .NET project code coverage and CRAP (Change Risk Anti-Patterns) scores to identify risk hotspots, methods blocking coverage gains, and prioritize where to add tests.

Extract semantic content from documents, images, audio, and video using Azure AI Content Understanding SDK for Python.

Diagnose MSBuild build performance bottlenecks using binary log analysis, covering timeline analysis, performance summary interpretation, and seven common bottleneck categories.

Analyze scraped webpage content to identify section boundaries and content sequences for AEM Edge Delivery Services import.

Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.

Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns with proper testing and validation.

Parse, analyze, and process SARIF files from static analysis tools like CodeQL and Semgrep, including filtering, deduplication, aggregation, and CI/CD integration.

Generates customizable prompts for scanning codebases to identify and document high-quality code exemplars, supporting multiple programming languages and configurable analysis depth.

Builds and queries multi-language source code graphs for security analysis, including blast radius, taint propagation, privilege boundaries, and entry point enumeration.

Analyze CJA dimensions for cardinality, distribution, trends, anomalies, data quality, comparisons, and forecasting, producing an interactive HTML dashboard or markdown report.

Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks.

Analyzes multi-step conversion funnels in Adobe Analytics to identify visitor drop-off points, compute step conversion rates, and pinpoint the worst leakage steps.

Run Semgrep static analysis scans with automatic language detection, parallel subagent execution, and merged SARIF output. Supports full ruleset coverage or high-confidence security vulnerability filtering.

Enforces output quality, intellectual honesty, and continuous improvement across security analysis agents with anti-rationalization guards, self-critique loops, retry protocols, and quality gates.

Prepares codebases for security review using Trail of Bits' checklist by setting review goals, running static analysis, increasing test coverage, removing dead code, and generating documentation.