Testing & Security
QA, penetration testing, and code quality.
release-note-writer
Guidelines for writing and reviewing Insiders and Stable release notes for Visual Studio Code.
release-note-reviewer
Review VS Code release notes for style, structure, and completeness. Use for reviewing Insiders or Stable release notes against writing guidelines. Produces an actionable list of recommendations.
move-prove
Run the Move Prover to formally verify specifications
run-acceptance-tests
Build dependencies and run acceptance tests locally in the Optimism monorepo. Handles contracts, cannon prestates, Rust binaries, and optional kona prestate.
testing-guide
Write unit tests, integration tests, and architecture tests for FSH features. Use when adding tests or understanding the testing strategy.
mz-pr-review
Perform a local code review of the current branch's changes against Materialize project standards. Trigger when the user says "review my code", "review my changes", "check my diff", "does this look ok", "what do you think of this PR", "code review", or asks you to look over changes before merging. Also trigger when the user passes a PR number and wants feedback on quality, style, or correctness.
mz-limits-test
This skill should be used when the user wants to add, modify, or debug a limits test. Trigger when the user mentions "limits test", "Generator subclass", "many objects", "scaling test", or wants to stress-test Materialize with large numbers of objects (tables, views, sources, indexes, etc.). Also trigger when the user edits test/limits/mzcompose.py.
mz-platform-checks
This skill should be used when the user wants to create, modify, or debug a platform check. Trigger when the user mentions "platform check", "platform-checks", "upgrade check", "restart check", or wants to write a Check class that tests feature survival across restarts/upgrades. Also trigger when the user edits files in misc/python/materialize/checks/all_checks/.
mz-test
General guide for running tests and choosing the right test framework in Materialize. Trigger when the user wants to "run tests", "run testdrive", "run sqllogictest", "run mzcompose", "run cargo test", "run pgtest", "rewrite test results", "add a test", "reproduce a bug", "write a regression test", or mentions testing, testdrive, sqllogictest, mzcompose, pgtest, cargo test, nextest, flaky tests, or test failures. Use this skill even if the user just says "test this" or "how do I verify this works" without naming a specific framework. For deep guidance on specific frameworks, see the dedicated skills: mz-platform-checks (upgrade/restart survival), mz-parallel-workload (concurrent stress testing), and mz-limits-test (scaling to many objects).
test-python
Run Python CLI tests. Use after making changes to cli/ code.
code-review
Perform comprehensive code reviews focusing on best practices, security vulnerabilities, performance optimization, and maintainability
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews using Claude Code via claude-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
experiment-bridge
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.
run-experiment
Deploy and run ML experiments on local, remote, Vast.ai, or Modal serverless GPU. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
experiment-bridge
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.