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自动识别并修复所有失败的测试,通过智能分组策略按错误类型、模块和根因分类,优先处理高影响及基础设施问题,逐项修复后验证,确保测试套件完全通过。
简介
自动识别并修复所有失败的测试,通过智能分组策略按错误类型、模块和根因分类,优先处理高影响及基础设施问题,逐项修复后验证,确保测试套件完全通过。
核心能力速览
✓所属分类:🔒 测试与安全
✓通过 Agent Skills 协议,将「能力」封装为可复用、可安装的 AI 组件
✓支持按需加载领域知识与工具,让通用模型转变为特定任务的专家
适用场景
适用于「🔒 测试与安全」相关场景,可作为可复用的 AI 能力组件,接入支持 Agent Skills 的 AI 客户端(如 Claude、Cursor、Cline 等),按需调用以扩展模型能力。
Skills.MD
| name | test-fixing |
| description | Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass. |
Test Fixing
Systematically identify and fix all failing tests using smart grouping strategies.
When to Use
- Explicitly asks to fix tests ("fix these tests", "make tests pass")
- Reports test failures ("tests are failing", "test suite is broken")
- Completes implementation and wants tests passing
- Mentions CI/CD failures due to tests
Systematic Approach
1. Initial Test Run
Run make test to identify all failing tests.
Analyze output for:
- Total number of failures
- Error types and patterns
- Affected modules/files
2. Smart Error Grouping
Group similar failures by:
- Error type: ImportError, AttributeError, AssertionError, etc.
- Module/file: Same file causing multiple test failures
- Root cause: Missing dependencies, API changes, refactoring impacts
Prioritize groups by:
- Number of affected tests (highest impact first)
- Dependency order (fix infrastructure before functionality)
3. Systematic Fixing Process
For each group (starting with highest impact):
-
Identify root cause
- Read relevant code
- Check recent changes with
git diff - Understand the error pattern
-
Implement fix
- Use Edit tool for code changes
- Follow project conventions (see CLAUDE.md)
- Make minimal, focused changes
-
Verify fix
- Run subset of tests for this group
- Use pytest markers or file patterns:
uv run pytest tests/path/to/test_file.py -v uv run pytest -k "pattern" -v - Ensure group passes before moving on
-
Move to next group
4. Fix Order Strategy
Infrastructure first:
- Import errors
- Missing dependencies
- Configuration issues
Then API changes:
- Function signature changes
- Module reorganization
- Renamed variables/functions
Finally, logic issues:
- Assertion failures
- Business logic bugs
- Edge case handling
5. Final Verification
After all groups fixed:
- Run complete test suite:
make test - Verify no regressions
- Check test coverage remains intact
Best Practices
- Fix one group at a time
- Run focused tests after each fix
- Use
git diffto understand recent changes - Look for patterns in failures
- Don't move to next group until current passes
- Keep changes minimal and focused
Example Workflow
User: "The tests are failing after my refactor"
- Run
make test→ 15 failures identified - Group errors:
- 8 ImportErrors (module renamed)
- 5 AttributeErrors (function signature changed)
- 2 AssertionErrors (logic bugs)
- Fix ImportErrors first → Run subset → Verify
- Fix AttributeErrors → Run subset → Verify
- Fix AssertionErrors → Run subset → Verify
- Run full suite → All pass ✓
快捷安装
在终端执行以下命令,即可将本 Skill 安装到本地 AI 客户端:
npx skills add mhattingpete/claude-skills-marketplace