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tailscale-mesh

Imported from https://github.com/plurigrid/asi.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
10
Hot score
84
Updated
March 20, 2026
Overall rating
C3.6
Composite score
3.6
Best-practice grade
B77.6

Install command

npx @skill-hub/cli install plurigrid-asi-tailscale-mesh

Repository

plurigrid/asi

Skill path: skills/tailscale-mesh

Imported from https://github.com/plurigrid/asi.

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: plurigrid.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install tailscale-mesh into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/plurigrid/asi before adding tailscale-mesh to shared team environments
  • Use tailscale-mesh for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: tailscale-mesh
description: Tailscale mesh VPN for secure peer-to-peer networking. WireGuard-based overlay network with MagicDNS and ACLs.
version: 1.0.0
---


# Tailscale Mesh Skill

**Trit**: 0 (ERGODIC - mediates network topology)  
**Foundation**: Tailscale + WireGuard + DERP  

## Core Concept

Tailscale creates a mesh VPN:
- WireGuard encryption
- NAT traversal via DERP relays
- MagicDNS for hostname resolution
- ACLs for access control

## Common Commands

```bash
# Status
tailscale status
tailscale netcheck

# Connect/disconnect
tailscale up
tailscale down

# Send files
tailscale file cp file.txt hostname:

# SSH
tailscale ssh hostname

# Funnel (public exposure)
tailscale funnel 8080
```

## ACL Configuration

```jsonc
{
  "acls": [
    {"action": "accept", "src": ["group:dev"], "dst": ["*:*"]},
    {"action": "accept", "src": ["tag:server"], "dst": ["tag:db:5432"]}
  ],
  "tagOwners": {
    "tag:server": ["group:ops"],
    "tag:db": ["group:dba"]
  }
}
```

## GF(3) Integration

```python
def trit_from_connection(conn):
    """Map connection type to GF(3) trit."""
    if conn.type == "direct":
        return 1   # PLUS: optimal path
    elif conn.type == "derp":
        return 0   # ERGODIC: relayed
    else:
        return -1  # MINUS: failed/blocked
```

## Canonical Triads

```
bisimulation-game (-1) ⊗ tailscale-mesh (0) ⊗ localsend-mcp (+1) = 0 ✓
spi-parallel-verify (-1) ⊗ tailscale-mesh (0) ⊗ tailscale-file-transfer (+1) = 0 ✓
```

## See Also

- `tailscale-file-transfer` - File transfer with open games semantics
- `localsend-mcp` - P2P transfer via LocalSend



## Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

### Graph Theory
- **networkx** [○] via bicomodule
  - Universal graph hub

### Bibliography References

- `graph-theory`: 38 citations in bib.duckdb
- `distributed-systems`: 3 citations in bib.duckdb

## Cat# Integration

This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:

```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```

### GF(3) Naturality

The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```

This ensures compositional coherence in the Cat# equipment structure.
tailscale-mesh | SkillHub