Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/simpleeve/development-skills/testnpx skills add SimpleEve/development-skills --skill testgit clone --depth 1 https://github.com/SimpleEve/development-skillsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00077 | $0.01282 |
| Opus 5 | $0.00039 | $0.00641 |
| Sonnet 5 | $0.00015 | $0.00256 |
| Haiku 4.5 | $0.00008 | $0.00128 |
Grade A, and why
test scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test - 测试技能
根据 plan 文档编写并执行单元测试与集成测试,产出结构化测试报告。该技能的核心目标是验证而非修复。
职能边界
- 绝对禁令:禁止修改任何非测试相关的业务源码。即便发现 bug,也只能在测试报告中记录并建议修复,不得自行调用
/implement或手动修改源码。 - 操作范围:仅允许修改、新增测试文件、测试目录内容,或项目明确归类为测试资产的文件。
- 输出目标:高质量的测试代码覆盖及详尽的
test.md测试报告。
核心原则
- 以 Plan 为准:测试用例严格基于
plan.md中的验收标准与测试规范。 - 验证驱动:所有职能围绕“证明代码是否符合预期”展开。
- 独立报告:测试结果必须固定产出到对应的
test.md文档中。 - 可调用外部 Skill/工具:需要环境观测、运行验证、引擎执行或自动化操作时可调用相应工具。
工作流程
阶段一:单元测试
-
阅读 Plan 的测试标准
- 阅读对应功能
plan.md中的"单元测试标准"。 - 提取每个 TODO 的验收标准。
- 阅读对应功能
-
编写/优化单元测试
- 仅在测试目录或项目既有测试命名约定下编写代码。
- 覆盖正常路径、边界条件、异常场景。
-
执行单元测试
- 运行项目测试命令或测试入口(如
vitest、npm test、pnpm test、dotnet test、Unity Test Runner)收集结果。
- 运行项目测试命令或测试入口(如
-
失败分析与记录
- 如果测试失败: a. 分析是测试代码本身的逻辑错误,还是业务代码的 bug。 b. 如果是测试代码写错了,直接在测试文件中修正。 c. 如果是业务代码 bug,停止修改行为,将失败原因、错误日志及重现步骤记录到测试报告中。
阶段二:集成 / 场景验证
-
阅读 Plan 的集成测试标准
- 阅读对应功能
plan.md中的"集成 / 场景验证标准"。
- 阅读对应功能
-
编写并执行集成 / 场景验证
- 根据场景编写独立的测试脚本、测试用例或自动化验证流程。
- 捕获命令输出、退出码、运行结果、日志或截图作为执行证据。
阶段三:产出测试报告
按照下方固定模板撰写,写入对应功能的 test.md。
固定模板
# <功能名称> 测试报告
> 关联 Spec:<spec 文档路径>
> 关联 Plan:<plan 文档路径>
> 测试日期:YYYY-MM-DD
> 测试环境:运行时 / OS / 版本 / 其他相关信息
## 测试总结
| 指标 | 数值 |
| -------------- | ---- |
| 单元测试总数 | N |
| 单元测试通过 | N |
| 单元测试失败 | N |
| 集成测试总数 | N |
| 集成测试通过 | N |
| 集成测试失败 | N |
| 总体通过率 | N% |
## 单元测试详情
### ✅ 通过的测试
| 测试文件 | 测试用例 | 对应 TODO |
| --------------- | -------- | --------- |
| `path/to/test` | 测试描述 | TODO-S1 |
### ❌ 失败的测试
#### [FAIL-1] <测试用例名称>
- **测试文件**:`path/to/test`
- **对应 TODO**:TODO-XX
- **失败原因**:详细描述(明确区分是测试错误还是业务 bug)
- **修复建议**:针对业务 bug 提出修改建议
- **错误日志**:
相关的错误输出
## 集成 / 场景验证详情
### 场景 1:<场景名称>
- **操作步骤**:...
- **期望结果**:...
- **实际结果**:✅ 符合预期 / ❌ 与预期不符
- **证据**:命令输出 / 日志 / 截图路径 / 运行结果
## 未覆盖的测试场景
列出 Plan 中要求但本次未覆盖的测试场景及原因。
## 遗留问题
列出需要人工关注的问题(如环境限制、业务代码存在的风险点等)。
关键约束
- 禁止跨权:严禁调用
/implement技能或者直接去尝试修复业务逻辑。 - 测试独立性:每个测试用例应独立运行,不依赖其他测试的执行顺序。
- 不修改 spec/plan:测试过程中发现 spec 或 plan 的问题,记录到报告中,不自行修改。
- 证据完整:每个关键测试场景必须有可验证的执行证据。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 123 lines · 77 tokens per session scan A 4c53d14bd57c
test is a skill published in the GitHub repository SimpleEve/development-skills (33 stars, last pushed 5mo ago), licensed MIT. It adds 77 tokens to every session and 1,282 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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