Skill UI

Provides a stable, single-call interface to dump all operational cost data. This includes total spending, usage per model tier, budget status, top sessions, and federation aggregates. Output is reliable JSON or Markdown, making it ideal for other plugins, automated dashboards, or programmatic consumption.

This tool automatically reads usage data from active AI coding sessions (JSONL format). It tallies token usage per model and tier, calculates the total cost in USD using specified pricing models, and persists a structured record into the cost-tracking namespace. Use this after completing a chunk of work or at the end of a session to provide accurate data for cost reporting and optimization.

This skill analyzes historical benchmark run data stored in JSON files. It surfaces key performance drift metrics over time, including win rate, average latency, p99 latency, and LLM-baseline cost. It is crucial for detecting subtle performance degradations or regressions that standard smoke tests might miss, ensuring stability across releases or corpus expansions.

This tool scaffolds a new Claude Code plugin from scratch, generating a standardized directory structure that meets all architectural requirements. It automatically creates necessary components, including plugin.json, skills, commands, agents, ADR documentation, and smoke tests, ensuring a robust and compliant plugin development environment.

This tool performs static security scanning of declared MCP surfaces using the `harness mcp-scan` command. It reads configuration files like `.mcp/servers.json` and `.harness/claims.json` without executing any tools. The tool flags policy, permission, and dependency issues, exiting with code 1 if findings meet the specified severity threshold. It supports CI integration and graceful degradation when the harness binary is unavailable.

This skill generates an enterprise-grade threat model report for MCP surfaces. It categorizes security threats and outputs severity levels like clean, low, medium, or high. Suitable for pre-launch security reviews and periodic audits. It integrates with the harness binary and supports JSON or table formats.

Architectural guidance for building modules with the tinystruct Java framework: @Action routing, dual CLI/HTTP mode, bin/dispatcher scripts, ActionRegistry, unit testing, JSON handling and database persistence.

This skill guides users through connecting external services, proprietary APIs, or custom tools to the Digital Marketing Pro plugin. It manages the entire integration lifecycle: searching the npm registry for pre-built packages, generating complex MCP JSON configurations, handling environment variables, and executing connectivity tests. Essential for expanding plugin functionality with external data sources like CRM, payment gateways, or specialized analytics platforms.

A comprehensive tool for importing structured data from various sources (CSV, JSON, Google Sheets) into connected platforms like CRMs, email marketing systems, or custom data stores. It manages the entire import pipeline, including automated field mapping, rigorous data validation, deduplication against existing records, and critical compliance verification (GDPR, CCPA). Features a mandatory execution gate for risk management.

A comprehensive tool for importing and validating leads into a CRM. It performs advanced data scrubbing, deduplication, and mandatory compliance checks (GDPR, CCPA). Leads are automatically scored and qualified (MQL/SAL), ensuring that only high-quality, clean data reaches the sales team, while low-scoring leads are automatically routed into nurture sequences. Supports CSV, JSON, and manual sources.

This tool executes comprehensive SEO implementation changes directly on connected CMS platforms like WordPress and Webflow. It facilitates the deployment of structured data (JSON-LD schema), updating meta tags, managing canonical URLs, creating 301/302 redirects, and requesting indexation. The process enforces a mandatory approval gate to ensure auditability and a structured implementation report for every change, bridging the gap between SEO recommendations and live deployment.

Coordinate frontend/backend or service-to-service work through one authoritative machine-checkable contract (OpenAPI, AsyncAPI, Protobuf, or JSON Schema), with generated consumer types and contract-verified integration to prevent field drift and mock/production shape mismatch.