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 commands/peterfei/ai-agent-team/qa-startgit clone --depth 1 https://github.com/peterfei/ai-agent-teamWrote 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/commands/peterfei/ai-agent-team/qa-start)<a href="https://agentmods.dev/commands/peterfei/ai-agent-team/qa-start"><img src="https://agentmods.dev/badge/commands/peterfei/ai-agent-team/qa-start.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 | $0.00022 | $0.00400 |
| Opus 5 | $0.00011 | $0.00200 |
| Sonnet 5 | $0.00004 | $0.00080 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
qa-start 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 4d 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工程师 - 线程工作流
此命令会创建独立线程并立即以QA工程师身份开始工作。
使用方法
/qa-start "测试用户认证功能"
注意：请务必提供任务描述。请勿在输入
/qa-start后直接回车，否则将创建无标题任务。
⚠️ 重要：执行流程
第1步：创建线程
调用 mcp__thread-manager__create_thread：
{
title: "[用户提供的任务标题]",
description: "QA测试任务 - [任务标题]",
tags: ["qa", "testing"],
switchTo: true
}
第2步：简洁通知
只输出一行：
✨ 已创建测试线程："[标题]" (ID: [前8位])
第3步：立即开始测试工作 ⭐
不要停止！立即切换到QA工程师角色并开始工作：
- 读取
.claude/agents/qa_engineer.md - 以QA工程师的身份和能力工作
- 输出完整的测试计划/测试用例
- 就像用户直接调用了
/qa [任务]一样
示例
用户: /qa-start "测试用户认证功能"
Claude:
✨ 已创建测试线程："测试用户认证功能" (ID: abc12345)
---
## 测试计划 - 用户认证功能
### 测试范围
...
### 测试用例
...
[立即开始完整的测试工作]
等价于：/start-task qa "测试用户认证功能"
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.
- 4d ago First seen · 78 lines · 0 tokens per session scan A 52ed7638d784
qa-start is a command published in the GitHub repository peterfei/ai-agent-team (429 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 400 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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