測試與安全

Build comprehensive, mobile-compatible Obsidian study vaults from academic course materials with checkpoint-based workflow, error pattern recognition, and quality assurance. Battle-tested patterns from 828KB/37-file projects. Works across all subjects - CS, medicine, business, self-study.

Automatically discover API design skills when working with REST APIs, GraphQL schemas, API authentication, OAuth, JWT, rate limiting, API versioning, error handling, or endpoint design. Activates for backend API development tasks.

embedded fallback test skill

Automatically discover cryptography skills when working with encryption, TLS, certificates, PKI, and security

Automatically discover testing skills when working with testing. Activates for testing development tasks.

Automatically discover security skills when working with authentication, authorization, input validation, security headers, vulnerability assessment, or secrets management. Activates for application security, OWASP, and security hardening tasks.

Analyze OpenShift installation failures in Prow CI jobs by examining installer logs, log bundles, and sosreports. Use when CI job fails "install should succeed" tests at bootstrap, cluster creation or other stages.

Analyze a failed test by inspecting the code in the current project and artifacts in Prow CI job. Provide a detailed analysis of the test failure in a pre-defined format.

Analyze Kubernetes resource lifecycle in Prow CI job artifacts by parsing audit logs and pod logs from GCS, generating interactive HTML reports with timelines

Helper skill to retrieve OAuth tokens from the correct OpenShift cluster context when multiple clusters are configured

Guide for writing, refactoring, and testing MoonBit projects. Use when working in MoonBit modules or packages, organizing MoonBit files, using moon tooling (build/check/test/doc/ide), or following MoonBit-specific layout, documentation, and testing conventions.

全面的AB测试分析工具，支持实验设计、统计检验、用户分群分析和可视化报告生成。用于分析产品改版、营销活动、功能优化等AB测试结果，提供统计显著性检验和深度洞察。

This skill should be used when running CI checks iteratively and fixing failures. Use when executing make targets (fast-ci, all-ci, ci), iterating on lint/format/type/test errors, or needing the devrun agent pattern for pytest/ty/ruff/prettier/make/gt commands.

Intelligently identify missing test coverage based on component type

测试开发专家，基于JUnit 5 + AssertJ + Mockito + JaCoCo的标准化测试规范。

Analyze test code structure directly to provide coverage analysis

This skill should be used when writing tests, fixing bugs, adding features, or modifying the gateway layer. Use when you need guidance on testing architecture, working with fakes, implementing ABC gateway interfaces, or understanding the defense-in-depth testing strategy. Essential for maintaining test quality and understanding where different types of tests belong.

Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards.

Create or update a feature spec under `docs/Features/` using `docs/templates/Feature-Template.md`: business rules, user flows, system behaviour, Mermaid diagram(s), verification plan, and Definition of Done. Use before implementing a non-trivial feature or when behaviour changes; keep the spec executable (test flows + traceability to tests).

Create or update an ADR (Architecture Decision Record) under `docs/ADR/` using `docs/templates/ADR-Template.md`: context, decision, alternatives, consequences, rollout, and verification. Use when changing architecture, boundaries, dependencies, data model, or cross-cutting patterns; ensure it is self-contained, has a Mermaid diagram, and defines testable invariants.