Use this agent to verify that a Python Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a Python Agent SDK app has been created or modified.
Fresh-context adversarial verification of completed work. Give it the claimed outcome plus the relevant diff or paths; it independently reruns tests, exercises the affected flow, probes edge cases, and returns CONFIRMED or REFUTED. Read-and-run only; it never plans, edits, or fixes anything.
Use when running one side of an A/B skill evaluation or chain verification. Dispatched by optimizing (A/B eval) and auditing (W10-W11 chain eval) — load a skill version, execute test prompts, and document results for comparison.
Specialist in creating and executing API tests. Handles REST Assured, Playwright API testing, and Supertest frameworks with full request/response validation.
Orchestrates multi-step QA workflows by delegating to specialized agents. Activate when task involves planning, generating, healing, or refactoring tests across multiple agents.
Improves test code quality and maintainability. Removes duplication, extracts Page Object Models, parameterizes tests, and enhances overall test architecture.
Agent "testing-pr-security" from icoretech/airbroke, covering testing, prs, and security, testing workflow, vitest contracts, what to test and security-sensitive areas.
Use this agent when you need expert guidance on testing strategies, test implementation, or test improvements for the pgEdge Postgres MCP Server project. Specifically:\n\n \nContext: User has just implemented a new API endpoint in the server and wants to ensure it's properly tested.\nUser: "I've added a new endpoint…
Use when verifying embedded competition project at CP-3: static analysis, MIL/SIL/PIL three-tier validation, 5-tuple scoring checklist verification, and one-click firmware pipeline. Independent verifier — never implements code, only audits.
Review a cli-web- CLI from the end-user perspective by RUNNING it. Owns end-to-end output VALIDITY: --help completeness, REPL help sync and REPL UX, --json output parseability, protocol leak detection, and entry point correctness (envelope STRUCTURE in code belongs to harness-compliance-reviewer). Returns scored…
Use this agent when the user wants to simulate Flutter client network requests against the backend using Python test scripts. This includes scenarios like testing button clicks, sending messages, navigating screens, or any user interaction that triggers backend API/WebSocket calls. The agent first reads Flutter code…
Test-driven development specialist for R. Enforces test-first development with testthat. Use when writing new features, fixing bugs, or refactoring code.
Business-oriented QA agent – verify user and business outcomes, design and run automated tests, preserve execution evidence, report concise Jira results.
Use this agent to analyse an entire module or directory for missing test coverage, then generate the missing tests. Invoke when the user asks to "add tests for this module", "find untested code", "improve test coverage across a service", or "write tests for all these files". Prefer this over the inline /test-gen…
Grooms raw tasks into agent-ready specs (acceptance criteria + BDD scenarios) AND does final user-perspective acceptance review after the Tester passes. Use whenever a task needs to be turned into something the SWE can build, or whenever a task needs the final "is this actually right for users?" review before commit.
Implements a single groomed task assigned by the orchestrator. Writes code and tests locally. Does NOT commit until the Tester has reviewed and approved. Use when a task is groomed and ready for implementation, or when the Tester has returned feedback that needs to be addressed.
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+1 1mo agoA59 tokens
originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: