Results for “inspect-ai”

Manages CDK for Terraform projects: synthesizes HCL, deploys stacks, inspects outputs, and analyzes diffs across TypeScript, Python, Go, Java, or C#.

Manages Chef infrastructure by inspecting cookbooks, nodes, roles, environments, data bags, and compliance profiles, and provides guidance for debugging convergence failures and auditing compliance.

Manage Arize AI Observability and Evaluation resources on Azure using the .NET SDK. Create, read, update, and delete Arize organizations via Azure Marketplace.

Adds observability and debugging for AI-assisted application workflows using Sentry.

Runs AI-powered exploratory testing on web applications using the ScoutQA CLI, including smoke tests, accessibility audits, and user flow validation.

Analyze images using Azure AI Vision SDK for Java, enabling captioning, OCR, object detection, tagging, and smart cropping.

Analyze text and images for harmful content using Azure AI Content Safety SDK for Java. Supports hate, violence, sexual content, and self-harm detection with blocklist management.

Analyze images using Azure AI Vision SDK: generate captions, tags, detect objects, extract text (OCR), detect people, and suggest smart crops.

Run an AI-readiness assessment on the current repository and generate a static HTML dashboard at reports/index.html.

Analyze and manage Bazel workspaces, including BUILD file inspection, target querying, dependency graphs, remote execution, caching configuration, and build performance profiling.

Scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues before deployment. Intercepts deploy commands and blocks until critical items pass.

Manages Kong Gateway via the Admin API, covering service and route configuration, plugin management, upstream health monitoring, and consumer credential inspection.

Analyze and manage GNU Make build systems: discover targets, inspect variables and dependencies, and debug build failures with dry runs and structured reports.

Manages SST applications by discovering project config, checking stack status, and inspecting bound resources. Supports deployment, live Lambda debugging, secret management, and multi-stage environments.

Manages NS1 DNS zones, records, filter chains, monitoring jobs, and traffic steering via the NS1 API, with a discovery-first workflow for inspection and troubleshooting.

Manage Caddy web servers safely: discover live config via the admin API, inspect TLS certificates, reverse proxy routes, sites, and plugins, and validate Caddyfiles before changes.

Operate and extend barretlee/agent-pulse, the evidence-backed AI industry intelligence system: inspect source catalog and lifecycle, collect and normalize signals, bind evidence, cluster Events, evaluate system health, generate Scout hypotheses, export the privacy-safe public site, and verify release gates. Use when the user asks to run, configure, debug, extend, or explain Agent Pulse, its collectors, Control Room, narratives, Scout, or GitHub Pages output. Triggers on: agent-pulse, Agent Pulse, evidence-backed intelligence, source catalog, signal collection, Event clustering, source audit, Scout opportunity, public export, weekly brief, or AI industry intelligence pipeline.

Configure, deploy, and manage Senpi Trading Runtime (OpenClaw plugin @senpi-ai/runtime) for automated on-chain position tracking with DSL trailing stop-loss protection. Use when a user needs to create or modify runtime YAML files, configure DSL (Dynamic Stop-Loss) exit engine parameters (phases, tiers, time-based cuts), set up the position_tracker scanner to monitor a wallet's positions on Hyperliquid, install/list/delete runtimes via CLI, or inspect DSL-tracked positions. The runtime does NOT create strategy wallets; create/get the strategy wallet via Senpi MCP first, then link that existing wallet in runtime YAML. Triggers on mentions of senpi, Senpi runtime, DSL exit, stop-loss tiers, position tracker, trailing stop, openclaw senpi, dsl_preset, or strategy YAML configuration."