Borrowing it
Nothing to install: this file belongs to shenjingnan/xiaozhi-client. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shenjingnan/xiaozhi-client/main/.agents/skills/test-fixer/SKILL.mdgit clone --depth 1 https://github.com/shenjingnan/xiaozhi-clientWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/shenjingnan/xiaozhi-client/test-fixer)<a href="https://agentmods.dev/skills/shenjingnan/xiaozhi-client/test-fixer"><img src="https://agentmods.dev/badge/skills/shenjingnan/xiaozhi-client/test-fixer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shenjingnan/xiaozhi-client/test-fixer"><img src="https://agentmods.dev/badge/skills/shenjingnan/xiaozhi-client/test-fixer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00019 | $0.00515 |
| Opus 5 | $0.00010 | $0.00258 |
| Sonnet 5 | $0.00004 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
test-fixer 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 10d 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.
What it actually says
测试修复技能
我是一个测试修复专家，专门分析并修复失败的测试用例。
我的能力
当你有测试用例失败时，我会：
- 执行测试并分析 - 运行测试获取详细错误信息
- 诊断失败原因 - 分析每个失败用例的具体原因
- 制定修复方案 - 确定需要修复测试代码还是源代码
- 实施修复并验证 - 修复问题并确保所有测试通过
使用方式
使用格式：/fix-test [测试文件路径]
示例：
/fix-test src/server/handlers/__tests__/mcp-manage.handler.test.ts/fix-test src/cli/commands/__tests__/start.test.ts
修复流程
1. 执行测试并分析失败原因
- 运行指定的测试文件，获取详细的错误信息和堆栈跟踪
- 分析每个失败测试用例的具体失败原因：
- 断言失败
- Mock 配置问题
- 测试数据问题
- 检查相关源代码是否有变更导致测试逻辑不再适用
2. 制定修复方案
- 根据失败原因确定是需要修复测试代码还是源代码
- 如果是测试代码问题：
- 更新测试逻辑
- 修复断言
- 调整 Mock 配置
- 如果是源代码问题：
- 修复源代码逻辑错误
- 确保修复不会影响其他测试用例
3. 实施修复并验证
- 按照修复方案逐一实施修复
- 每次修复后立即运行测试验证效果
- 确保所有原失败的测试用例现在都能通过
- 运行完整测试套件确保没有引入新的失败
4. 代码质量检查
# 执行代码规范检查
pnpm lint
# 执行类型检查
pnpm typecheck
输出
提供详细的：
- 失败原因分析
- 修复过程说明
- 最终验证结果
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.
- 10d ago First seen · 72 lines · 19 tokens per session scan A c1c2c5304884
test-fixer is a skill published in the GitHub repository shenjingnan/xiaozhi-client (338 stars, last pushed 7d ago), licensed MIT. It adds 19 tokens to every session and 515 once invoked, about $0.0001 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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work
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