Borrowing it
Nothing to install: this file belongs to Kokxi/qa-test-skills. 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/Kokxi/qa-test-skills/master/AGENTS.mdgit clone --depth 1 https://github.com/Kokxi/qa-test-skillsWrote 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/instructions/kokxi/qa-test-skills/agents-md)<a href="https://agentmods.dev/instructions/kokxi/qa-test-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/kokxi/qa-test-skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00918 | $0.00918 |
| Opus 5 | $0.00459 | $0.00459 |
| Sonnet 5 | $0.00184 | $0.00184 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
qa-test-skills AGENTS.md 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 6d 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
QA Test Skills - Agent 使用指引
项目是什么
AI 辅助测试用例设计技能集：skills/ 下 49 个技能。
入口工作流 qa-test-skills 将 48 个专家级子技能编排为 12 步流水线。
触发条件（必须遵循）
⚠️ 如果认为本技能集有任何可能适用于当前任务，必须激活
qa-test-skills入口工作流。 当用户请求涉及测试设计/用例生成/需求评审/测试执行时，这不是可选项——你必须使用本技能集。 不得用"这不需要正式技能""我先做一点""记得就行"等理由跳过。
触发场景（满足任一即激活）：
- 用户说"生成测试用例"、"帮我测试"、"设计测试"、"上传需求"、"开始测试"
- 上传需求文档（PRD/Word/PDF/URL）
- 需要完整测试流程、想浏览技能集目录、了解 QA Test Skills 包含哪些技能时
调用方式：
/qa-test-skills 帮我测试这个项目：docs/prd.md
触发规则（Rule）
- 在响应或任何行动之前检查技能——包括澄清问题、探索代码库、查看文件之前
- 若多个技能适用：先执行流程型技能（入口工作流编排），再执行具体执行型技能
- 如果判断技能不适用，说明理由；如果之后发现适用，立即激活
自我警示（Red Flags）——出现以下想法必须停止，先检查技能
| 想法 | 现实 |
|---|---|
| "这只是一个简单问题" | 问题也是任务，先检查技能 |
| "我需要更多上下文" | 技能检查应在澄清问题之前 |
| "我先探索代码库" | 技能告诉你如何探索，先检查 |
| "我可以快速看下文件" | 文件缺少对话上下文，先检查技能 |
| "这个不需要正式技能" | 如果技能存在，就用它 |
| "我记得这个技能" | 技能会演进，读取当前版本 |
项目结构
skills/qa-test-skills/SKILL.md ← 入口工作流（name: qa-test-skills，12 步编排）
skills/qa-test-skills/references/ ← 工作流详细展开（含每步执行格式）
skills/qa-*/SKILL.md ← 48 个专家级子技能（每步一个）
examples/ ← 示例项目（ecommerce / agent）
如何响应测试需求
用户说"生成测试用例 / 帮我测试 / 设计测试 / 上传需求"时：
- 读取
skills/qa-test-skills/SKILL.md（入口工作流） - 按 12 步工作流执行，每步读取对应子技能
skills/qa-xxx/SKILL.md - 每步产出独立文件到
test-output/ - 最终产出
测试用例.csv
关键约束
- 覆盖率必须标注口径："基于现有需求文档的覆盖率"，不得用"全覆盖/100%"绝对化表述
- 缺口不得编造：需求缺失模块只能标注"未覆盖+原因+建议补充"，不得编造需求或用例
- 测试用例.csv 格式：标准 CSV（半角逗号分隔 / RFC 4180 引号转义 / UTF-8 含 BOM / 固定 9 列 / 禁
|竖线与 Markdown 表格） - 每步独立落盘：第 0-11 步各产出独立文件，最后汇总为测试报告 + 测试用例.csv
参考
README.md— 完整安装方式与技能目录skills/qa-test-skills/references/workflow-detail.md— 12 步工作流详细执行指南
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.
- 6d ago First seen · 72 lines · 918 tokens per session scan A 1a0d4d6824fd
qa-test-skills AGENTS.md is an instructions file published in the GitHub repository Kokxi/qa-test-skills (24 stars, last pushed 3d ago), licensed MIT. It adds 918 tokens to every session, about $0.0046 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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