Plugins

3 plugins

Dotnet Test Migration

Skills and an orchestrator agent for migrating .NET test frameworks and platforms: MSTest and xUnit version upgrades, xUnit-to-MSTest conversion, and VSTest to Microsoft.Testing.Platform.

5 skills · plugin

@alirezarezvani

Engineering Team

32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,

16 skills · plugin

Planning skills for the Han suite: specifying, planning, sequencing, breaking down, and stress-testing work before implementation. Home of plan-a-feature, plan-implementation, plan-a-phased-build, plan-work-items, and iterative-plan-review, plus the discussion-facilitator agent. Depends on han-communication and han-core; bundled by the han meta-plugin.

5 skills · plugin

Results for “agent-testing”

21 skills

Writes unit, smoke, and e2e tests for AI agents, covering tools, instructions, routing, citations, and guardrails.

Guides the creation, iterative improvement, and evaluation of agent skills, including drafting, testing, benchmarking, and optimizing descriptions.

Scaffold and develop AI agents using OpenAI Agents SDK patterns, covering agent definition, tools, guardrails, handoffs, context, RAG pipelines, streaming, API routes, testing, and debugging.

Watch, audit, and fix another agent's work by reconstructing the original request, inspecting evidence, and reporting gaps.

Compare coding agents head-to-head on reproducible tasks with pass rate, cost, time, and consistency metrics.

Uses two independent review agents to verify output quality, requiring both to pass before shipping.

More results

Roast My Agents Md

Audits AGENTS.md and CLAUDE.md files for bloat, redundancy, and ineffective rules, then runs A/B evals to prove which instructions are dead weight.

Builds reliable browser automation skills through iterative experimentation, running an inner agent to browse sites and improving navigation instructions until tasks pass consistently.

Spawns GLM-5 powered teammates with thinking mode for coding, review, testing, planning, and research tasks.

Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.

Agent Self Evaluation

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

Debug agent execution by querying trace and metric tables, analyzing tool calls, durations, errors, and performance trends.

Compares coding agents head-to-head on reproducible tasks, measuring pass rate, cost, time, and consistency.

Build evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.

16.9k · bundle

sakamoto-family-smile

Orchestrates parallel AI agent sessions using dmux, a tmux pane manager, with patterns for research, implementation, testing, and code review across multiple harnesses.

Spawns GLM-5 powered teammates with native thinking mode for coding, review, testing, planning, and research tasks.

Gan Style Harness

Uses a multi-agent generator-evaluator feedback loop to build high-quality applications from a single prompt, inspired by GANs and Anthropic's harness design.

Build production-ready AI agents with type-safe tool use, structured outputs, dependency injection, and multi-model support using PydanticAI.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like web development, testing, and design.

Extracts a language-agnostic ghost package (spec, tests, install and verify docs) from an existing repository, preserving behavior via tests.yaml and evidence bundles.

Provides a formal evaluation framework for Claude Code sessions, implementing eval-driven development (EDD) principles to define pass/fail criteria, measure reliability with pass@k metrics, and create regression test suites.