Testing & Quality skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

check-§BRAND_NAME_LOWER§-input-readiness

Assess whether an input document is ready for a specific §BRAND_NAME_TITLE§ MAS entry point. Use when a user asks whether a goal, functional spec, detailed spec, technical spec, PRD, story bundle, architecture plan, or other source document is solid enough to run through §BRAND_BINARY_NAME§ with `--entry-point general-objective`, `functional-spec`, `detailed-spec`, or `technical-spec`; when deciding which entry point fits a document; or before `§BRAND_BINARY_NAME§ init --spec`.

322 repo starsObserved in 1 repos
Testing & Quality
GitHub

code-quality-assessment

Quantitative and qualitative code quality assessment with prioritized refactoring recommendations

322 repo starsObserved in 1 repos
Testing & Quality
GitHub

maa-punish-log-analysis

分析用户给出的本地日志目录或日志文件路径，结合 MAA_Punish（MaaFramework + Python 自定义 + MFW-cfa）仓库定位任务卡死、识别失败、Pipeline 与自定义逻辑问题。主日志为 gui.log（cfa 图形界面）、custom.log（Python/agent 自定义）、debug/maa.log（框架运行时）。不下载或解压 zip；在用户给出日志路径、贴日志片段、反馈 bug、排查识别或流水线问题时使用。

322 repo starsObserved in 1 repos
Testing & Quality
GitHub

aposd-reviewing-module-design

Assesses existing module and interface design for complexity symptoms: information leakage, shallow interfaces, pass-through layers, and unknown unknowns. Produces a structured assessment — not transformations (use aposd-simplifying-complexity to edit) and not new-design generation (use aposd-designing-deep-modules).

321 repo starsObserved in 1 repos
Testing & Quality
GitHub

aposd-verifying-correctness

Verifies implementation completeness across functional correctness, error handling, concurrency, and security dimensions using APOSD's post-implementation checklist. Run after a coding task is nominally complete, not during active bug investigation (use cc-debugging).

321 repo starsObserved in 1 repos
Testing & Quality
GitHub

cc-debugging

Applies Code Complete's scientific debugging method: STABILIZE → LOCATE → HYPOTHESIZE → EXPERIMENT → FIX → TEST → SEARCH. For active bug investigation, not QA process design or test coverage planning (use cc-quality-practices).

321 repo starsObserved in 1 repos
Testing & Quality
GitHub

cc-quality-practices

Applies Code Complete's QA process design: selects defect-detection techniques by phase, sizes the test suite, and designs review and inspection processes. For QA planning and process design, not active bug investigation (use cc-debugging).

321 repo starsObserved in 1 repos
Testing & Quality
GitHub

benchmark-contamination-scan

Scan training data for benchmark contamination — n-gram overlap, embedding similarity, and exact canary detection against 60+ evaluation datasets.

320 repo starsObserved in 1 repos
Testing & Quality
GitHub

bias-audit

Audit dataset bias across protected attributes — demographic parity, equalized odds, representation gaps, and intersectional bias. Reports actionable gaps with per-group metrics.

320 repo starsObserved in 1 repos
Testing & Quality
GitHub