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 ggg123124/vrchat-assistant --skill auth-guardgit clone --depth 1 https://github.com/ggg123124/vrchat-assistantWrote 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/ggg123124/vrchat-assistant/auth-guard)<a href="https://agentmods.dev/skills/ggg123124/vrchat-assistant/auth-guard"><img src="https://agentmods.dev/badge/skills/ggg123124/vrchat-assistant/auth-guard/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/ggg123124/vrchat-assistant/auth-guard"><img src="https://agentmods.dev/badge/skills/ggg123124/vrchat-assistant/auth-guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00581 |
| Opus 5.5 | $0.00016 | $0.00232 |
| Sonnet 5.5 | $0.00008 | $0.00116 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
auth-guard 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
auth-guard 插件
本插件为 vrchat-assistant 服务提供零外部依赖的 HTTP 访问鉴权支持，方便将服务安全地暴露在局域网、公网（如 VPS、Docker 容器）或反向代理后。
核心特性
- 零外部软件依赖：无需安装第三方 VPN 或代理工具，Node.js 原生校验。
- 多方式兼容：
Authorization: Bearer <TOKEN>（标准 REST Header，生产环境推荐）X-API-Key: <TOKEN>（API Key Header）?token=<TOKEN>（URL 查询参数，兼容不支持自定义 Header 的客户端与浏览器直连；注意 URL 参数可能被代理日志记录，建议生产环境优先使用 Header）
- 时序安全比对：采用
crypto.timingSafeEqual防范侧信道计时攻击。 - 向后完全兼容：若未设置
VRC_MONITOR_AUTH_TOKEN，服务默认完全放行，不影响本地单机使用体验。
环境变量配置
在项目根目录 .env 文件中配置：
# 1. 开启公网网卡监听（默认 127.0.0.1 仅本地可连，设为 0.0.0.0 允许外部连接）
VRC_MONITOR_HOST=0.0.0.0
# 2. 自定义端口（可选，默认 8799）
VRC_MONITOR_PORT=8799
# 3. 访问认证令牌（配置后强制开启全接口 401 拦截防护）
VRC_MONITOR_AUTH_TOKEN=your_secure_random_token_here
Docker 部署提示：若使用 Docker Compose 部署，请在
.env中配置VRC_MONITOR_AUTH_TOKEN，Compose 文件已配置自动将环境变量透传进容器。
MCP 工具
| 工具名 | 说明 |
|---|---|
auth_get_status |
查看当前服务的监听 IP、端口、Token 启用情况与公网安全就绪度 |
auth_generate_token |
生成 32 字节高强度随机 Token，并输出可直接写入 .env 的配置片段 |
auth_verify_token |
校验指定 Token 是否与当前生效配置相匹配 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 44 lines · 39 tokens per session scan A fecded45a446
auth-guard is a skill published in the GitHub repository ggg123124/vrchat-assistant (27 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 581 once invoked, about $0.0002 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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