Run pytest after code edits to capture behavior, compare it against a human-approved baseline, and return a boundary signal that flags unapproved regressions.
Run the vitest test suite with fixed arguments, a 120-second timeout, and a 64KB output cap. Optionally filter by test name pattern or path to narrow the run.
Store durable user preferences, decisions, and facts in the Wenlan wiki memory so agents retain context across sessions. Use proactively when users share lasting personal or project insights.
Run smoke tests before commit or deploy to confirm the project test suite passes. Auto-detects pytest, Jest, Vitest, or Mocha from project config and reports failures, with options to stop at the first error or target a specific suite.
MCP server for debugging pytest failures, allowing users to register test failures, apply systematic debugging principles, and analyze failure patterns.
A Node.js server that integrates with pytest to facilitate the ModelContextProtocol (MCP) service tools, enabling test execution recording and environment tracking.
Generate test skeletons for source code with Jest, pytest, or vitest. Scaffold test stubs for untested public functions so you can begin testing a module without writing boilerplate.
Find test functions that transitively cover a target symbol by walking the call graph backwards, labeling each with its framework to pick the right runner.
Delegate a coding task to a new DeepSeek Harness subagent with its own runtime process, then verify completion using a shell command. Returns an agent ID immediately or waits for results when desired.
Execute JavaScript to query Gaffer test and coverage data, analyze project health, debug failures, and identify untested code areas using codemode API functions.
Lists every memory in a specified project scope, providing the total count and source breakdown. Use to audit the full inventory and verify if specific memories still exist.
Run 50 lint dimensions across mechanical, shipped, metabolic, and semantic categories to check substrate contract invariants and auto-repair fixable findings during development or release.
Launch interactive test recording to transcribe browser actions into runnable test code. Use to build baseline happy-path tests by clicking through complex UI flows.
Execute test suites under the QA runner and generate structured reports with exit codes, logs, and flaky detection. Supports optional filter to target specific tests across pytest, Jest, Cypress, Go, and Maestro.