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 | $0.00019 | $0.00291 |
| Sonnet 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 9d 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.
- 9d 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 (21 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 581 once invoked, about $0.0002 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.
Other skills, from other repositories
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
mnemosyne-memory-override
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
hermes-tweet
Use Xquik in Hermes Agent for public X research, monitoring, thread summaries, creator discovery & approved actions. Not affiliated with X Corp. Use when the user requests X data or a named action. Trigger with "search X", "monitor X", "post tweet", or "X trends".
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
holix-sdd-propose
Create Spec-Driven Development changes (OpenSpec-style) — multi-project openspec, understanding gate, assigned tasks before coding.
holix-cron
Schedule recurring agent tasks via Holix built-in gateway cron (not crontab or custom scripts).