测试助手
- 作者仓库星标 113
- 许可证 MIT
- 作者更新于 实时读取
- 作者仓库 prpm
- 领域
- 通用
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 94 / 100 · 已通过审计
- 作者 / 版本 / 许可
- @pr-pm · MIT
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 网络行为
- 允许外网请求
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: thoroughness
description: Use when implementing complex multi-step tasks, fixing critical bugs, or when quality and comple…
category: 通用
runtime: 无特殊运行时
---
# thoroughness 输出预览
## PART A: 任务判断
- 适用问题:通用任务拆解、检查和交付。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Purpose / When to Use / Methodology”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于通用任务拆解、检查和交付,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Purpose / When to Use / Methodology”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、会按任务需要访问外部网络、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 先确认触发方式
原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
给清楚输入和边界
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
小样例验证后再放大
先用一个小任务确认它会围绕“Purpose / When to Use / Methodology”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
复核后再交付
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: thoroughness
description: Use when implementing complex multi-step tasks, fixing critical bugs, or when quality and comple…
category: 通用
source: pr-pm/prpm
---
# thoroughness
## 什么时候使用
- 把通用方向的常用动作沉淀成 Agent 可调用的技能 适合处理通用任务拆解、检查、交付和复盘,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要额外…
- 面向通用任务拆解、检查和交付,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Purpose / When to Use / Methodology」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 证据边界与执行链路
作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "thoroughness" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Purpose / When to Use / Methodology
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件 | 会按任务需要访问外部网络
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Thoroughness
Purpose
This skill ensures comprehensive, complete implementation of complex tasks without shortcuts. Use this when quality and completeness matter more than speed.
When to Use
- Fixing critical bugs or compilation errors
- Implementing complex multi-step features
- Debugging test failures
- Refactoring large codebases
- Production deployments
- Any task where shortcuts could cause future problems
Methodology
Phase 1: Comprehensive Analysis (20% of time)
Identify All Issues
- List every error, warning, and failing test
- Group related issues together
- Prioritize by dependency order
- Create issue hierarchy (what blocks what)
Root Cause Analysis
- Don't fix symptoms, find root causes
- Trace errors to their source
- Identify patterns in failures
- Document assumptions that were wrong
Create Detailed Plan
- Break down into atomic steps
- Estimate time for each step
- Identify dependencies between steps
- Plan verification for each step
- Schedule breaks/checkpoints
Phase 2: Systematic Implementation (60% of time)
Fix Issues in Dependency Order
- Start with foundational issues
- Fix one thing completely before moving on
- Test after each fix
- Document what was changed and why
Verify Each Fix
- Write/run tests for the specific fix
- Check for side effects
- Verify related functionality still works
- Document test results
Track Progress
- Mark issues as completed
- Update plan with new discoveries
- Adjust time estimates
- Note any blockers immediately
Phase 3: Comprehensive Verification (20% of time)
Run All Tests
- Unit tests
- Integration tests
- E2E tests
- Manual verification
Cross-Check Everything
- Review all changed files
- Verify compilation succeeds
- Check for console errors/warnings
- Test edge cases
Documentation
- Update relevant docs
- Add inline comments for complex fixes
- Document known limitations
- Create issues for future work
Anti-Patterns to Avoid
- ❌ Fixing multiple unrelated issues at once
- ❌ Moving on before verifying a fix works
- ❌ Assuming similar errors have the same cause
- ❌ Skipping test writing "to save time"
- ❌ Copy-pasting solutions without understanding
- ❌ Ignoring warnings "because it compiles"
- ❌ Making changes without reading existing code first
Quality Checkpoints
- Can I explain why this fix works?
- Have I tested this specific change?
- Are there any side effects?
- Is this the root cause or a symptom?
- Will this prevent similar issues in the future?
- Is the code readable and maintainable?
- Have I documented non-obvious decisions?
Example Workflow
Bad Approach (Shortcut-Driven)
1. See 24 TypeScript errors
2. Add @ts-ignore to all of them
3. Hope tests pass
4. Move on
Good Approach (Thoroughness-Driven)
1. List all 24 errors systematically
2. Group by error type (7 missing types, 10 unknown casts, 7 property access)
3. Find root causes:
- Missing @types/tar package
- No type assertions on fetch responses
- Implicit any types in callbacks
4. Fix by category:
- Install @types/tar (fixes 7 errors)
- Add proper type assertions to registry-client.ts (fixes 10 errors)
- Add explicit parameter types (fixes 7 errors)
5. Test after each category
6. Run full test suite
7. Document what was learned
Time Investment
- Initial: 2-3x slower than shortcuts
- Long-term: 10x faster (no debugging later, no rework)
- Quality: Near-perfect first time
- Maintenance: Minimal
Success Metrics
- ✅ 100% of tests passing
- ✅ Zero warnings in production build
- ✅ All code has test coverage
- ✅ Documentation is complete and accurate
- ✅ No known issues or TODOs left behind
- ✅ Future developers can understand the code
Mantras
- "Slow is smooth, smooth is fast"
- "Do it right the first time"
- "Test everything, assume nothing"
- "Document for your future self"
- "Root causes, not symptoms"
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核