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/channinglua/prax-agent/domestic-integrationnpx skills add ChanningLua/prax-agent --skill domestic-integrationgit clone --depth 1 https://github.com/ChanningLua/prax-agentWrote 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/channinglua/prax-agent/domestic-integration)<a href="https://agentmods.dev/skills/channinglua/prax-agent/domestic-integration"><img src="https://agentmods.dev/badge/skills/channinglua/prax-agent/domestic-integration.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 | $0.00023 | $0.00428 |
| Opus 5 | $0.00012 | $0.00214 |
| Sonnet 5 | $0.00005 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
domestic-integration 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
国内生态集成技能
支持的服务
支付
- 微信支付（WeChat Pay）：JSAPI、Native、H5、小程序支付
- 支付宝（Alipay）：网页支付、手机网站支付、APP 支付
云服务
- 阿里云（Alibaba Cloud）：OSS、RDS、ECS、函数计算
- 腾讯云（Tencent Cloud）：COS、云数据库、云函数
- 华为云（Huawei Cloud）：OBS、GaussDB
消息推送
- 微信公众号消息
- 企业微信（WeCom）机器人
- 钉钉（DingTalk）机器人
短信
- 阿里云短信服务
- 腾讯云短信
集成规范
- API 密钥通过环境变量注入，不硬编码
- 使用官方 SDK 而非直接调用 HTTP API
- 实现重试机制和错误处理
- 记录关键操作日志（脱敏处理）
示例：企业微信机器人
import httpx
async def send_wecom_message(webhook_url: str, content: str) -> bool:
"""发送企业微信机器人消息。"""
payload = {
"msgtype": "text",
"text": {"content": content}
}
async with httpx.AsyncClient() as client:
resp = await client.post(webhook_url, json=payload)
return resp.json().get("errcode") == 0
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 · 55 lines · 23 tokens per session scan A bf2f48d461ff
domestic-integration is a skill published in the GitHub repository ChanningLua/prax-agent (272 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 428 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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