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/ops-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/ops-start)<a href="https://agentmods.dev/commands/peterfei/ai-agent-team/ops-start"><img src="https://agentmods.dev/badge/commands/peterfei/ai-agent-team/ops-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 | $0.00023 | $0.00403 |
| Opus 5 | $0.00012 | $0.00201 |
| Sonnet 5 | $0.00005 | $0.00081 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
ops-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
DevOps工程师 - 线程工作流
此命令会创建独立线程并立即以DevOps工程师身份开始工作。
使用方法
/ops-start "部署生产环境"
注意:请务必提供任务描述。请勿在输入
/ops-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: "DevOps任务 - [任务标题]",
tags: ["devops", "ops"],
switchTo: true
}
第2步:简洁通知
只输出一行:
✨ 已创建DevOps线程:"[标题]" (ID: [前8位])
第3步:立即开始DevOps工作 ⭐
不要停止!立即切换到DevOps工程师角色并开始工作:
- 读取
.claude/agents/devops_engineer.md - 以DevOps工程师的身份和能力工作
- 输出完整的部署方案/配置脚本
- 就像用户直接调用了
/ops [任务]一样
示例
用户: /ops-start "部署生产环境"
Claude:
✨ 已创建DevOps线程:"部署生产环境" (ID: abc12345)
---
## 部署方案 - 生产环境
### 部署架构
...
### 配置步骤
...
[立即开始完整的DevOps工作]
等价于:/start-task ops "部署生产环境"
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 34582cac35b0
ops-start is a command published in the GitHub repository peterfei/ai-agent-team (429 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 403 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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cti-report
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cti-status
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reskin
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