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 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/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/channinglua/prax-agent/domestic-integration"><img src="https://agentmods.dev/badge/skills/channinglua/prax-agent/domestic-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 5.5 | $0.00009 | $0.00171 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 5.5. 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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