tailscale

tailscale is a skill for Claude Code from alivirgo/Major-AI-Skills. It costs 40 tokens per session (2,357 once invoked), scanned D, original, MIT.

A guide for choosing how a software-as-a-service product charges customers, such as by usage, credits, prepaid balance, users, or included features.

In plain words
What is it for?
Use it to compare pricing approaches and design implementation patterns for usage tracking, hard limits, prepaid spending, team seats, or feature flags.
Why use it?
It helps match billing rules to usage patterns, spending limits, and whether value is tied to individual users.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the mas-desktop-ops plugin — 7 skills shipped together

Good fit Use it to compare pricing approaches and design implementation patterns for usage tracking, hard limits, prepaid spending, team seats, or feature flags.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alivirgo/major-ai-skills/tailscale
Install

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.

Any agent
npx skills add alivirgo/Major-AI-Skills --skill tailscale
Clone the repo
git clone --depth 1 https://github.com/alivirgo/Major-AI-Skills

Made for: Claude Code.

Or install mas-desktop-ops, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for tailscale

README.md
[![agentmods](https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/tailscale/github.svg)](https://agentmods.dev/skills/alivirgo/major-ai-skills/tailscale)
Your own site
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/tailscale"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/tailscale/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.

agentmods 80×15 button for tailscale

Your own site · 80×15
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/tailscale"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/tailscale.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,357 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 3 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.02357
Opus 5.5 $0.00016 $0.00943
Sonnet 5.5 $0.00008 $0.00471
Haiku 4.5 $0.00004 $0.00236

Measured 3d ago against content hash 0c1db4e0210b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade D, and why

tailscale scanned grade D with 3 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 3d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo tee /etc/sysctl.d/99-tailscale.conf >/dev/null <<'EOF'

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://tailscale.com/install.sh | sh

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://tailscale.com/install.sh | sh
plugins/mas-desktop-ops/skills/tailscale/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tailscale Mesh VPN AI Skill Guide (Claude)

Overview & Engine Architecture

Tailscale is a coordination-plane + WireGuard data-plane mesh VPN. Nodes register with a control server (Tailscale SaaS or self-hosted Headscale), exchange keys and ACL policy, then encrypt traffic peer-to-peer. When UDP hole-punching fails (symmetric NAT, locked-down firewalls), encrypted packets fall back through DERP relays (or optional peer relays). Agents should treat route advertisement and admin approval as a double opt-in, treat MagicDNS as an OS DNS integration problem, and never invent auth keys or ACL principals.

┌─────────────────────────────────────────────────────────────┐
│                 Tailscale mesh                              │
│                                                             │
│  Control plane (coord + ACL + MagicDNS names)               │
│  ├── Auth / tags / key expiry                               │
│  ├── autoApprovers for routes & exit nodes                  │
│  └── Policy: who may reach which tags / CIDRs               │
│                                                             │
│  Data plane (WireGuard)                                     │
│  ├── Prefer direct UDP (often ListenPort ~41641)            │
│  ├── Else DERP / peer-relay (encrypted WG still)            │
│  └── Subnet router / exit node = forward + advertise        │
└─────────────────────────────────────────────────────────────┘

When to use / when not to

Use when

  • Joining laptops, CI runners, and cloud VMs into one private overlay without opening inbound WAN ports.
  • Exposing a LAN that cannot run Tailscale via a subnet router.
  • Debugging “slow VPN” (DERP relay) vs broken routes / ACL denials.
  • Publishing internal HTTPS with Serve, or carefully exposing with Funnel.

Do not use when

  • You need a self-managed, no-vendor WireGuard fabric with your own key distribution → @wireguard.
  • You need classic site-to-site IPsec / vendor SD-WAN with existing enterprise gear only.
  • Someone asks to paste live auth keys, OAuth client secrets, or full ACL with real employee emails into chat/Git → refuse; use env vars / secret stores (@vault).

Read the full file on GitHub · 192 lines

Files

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.

Changes

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.

  1. 3d ago Changed · +64 lines · +14 tokens per session 0c1db4e0210b
  2. 1mo ago Changed · -18 tokens per session 96b680252d14
  3. 1mo ago First seen · 128 lines · 44 tokens per session scan D 0758a64c1c66

Subscribe to this mod's changes

tailscale is a skill published in the GitHub repository alivirgo/Major-AI-Skills (2 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 2,357 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories