distributed-mesh

distributed-mesh is a skill for Claude Code, Codex from alonf/MCPPythonDemo. It costs 16 tokens per session (3,069 once invoked), scanned A, a copy of distributed-mesh, MIT.

A setup guide for coordinating coding teams on different computers, using Git to share project state. A mesh is the connected group of participating teams and locations.

In plain words
What is it for?
It creates the shared configuration, synchronization scripts, and a record of the team setup.
Why use it?
It provides a defined way to share updates across machines without relying on a continuously running service.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is "auth-squad": { "zone": "local", "path": "../auth-squad/.mesh" },.

Good fit It creates the shared configuration, synchronization scripts, and a record of the team setup.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/alonf/MCPPythonDemo
agentmods
npx agentmods add skills/alonf/mcppythondemo/distributed-mesh

Made for: Claude Code, Codex.

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 distributed-mesh

README.md
[![agentmods](https://agentmods.dev/badge/skills/alonf/mcppythondemo/distributed-mesh/github.svg)](https://agentmods.dev/skills/alonf/mcppythondemo/distributed-mesh)
Your own site
<a href="https://agentmods.dev/skills/alonf/mcppythondemo/distributed-mesh"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/distributed-mesh/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 distributed-mesh

Your own site · 80×15
<a href="https://agentmods.dev/skills/alonf/mcppythondemo/distributed-mesh"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/distributed-mesh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,069 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00016 $0.03069
Opus 5.5 $0.00006 $0.01228
Sonnet 5.5 $0.00003 $0.00614
Haiku 4.5 $0.00002 $0.00307

Measured 1mo ago against content hash a9e91ed408df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

distributed-mesh scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 2 executable files (sync-mesh.ps1, sync-mesh.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

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

**Zone 3 — Remote-Opaque:** Different org, no shared auth. Transport: `curl` to fetch published contracts (SUMMARY.md). One-way visibility — you see only what they publish.
Origin

This is a copy

100% identical to distributed-mesh — 574 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.squad/templates/skills/distributed-mesh/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SCOPE

✅ THIS SKILL PRODUCES (exactly these, nothing more):

  1. mesh.json — Generated from user answers about zones and squads (which squads participate, what zone each is in, paths/URLs for each), using mesh.json.example in this skill's directory as the schema template
  2. sync-mesh.sh and sync-mesh.ps1 — Copied from this skill's directory into the project root (these are bundled resources, NOT generated code)
  3. Zone 2 state repo initialization (if applicable) — If the user specified a Zone 2 shared state repo, run sync-mesh.sh --init to scaffold the state repo structure
  4. A decision entry in .squad/decisions/inbox/ documenting the mesh configuration for team awareness

❌ THIS SKILL DOES NOT PRODUCE:

  • No application code — No validators, libraries, or modules of any kind
  • No test files — No test suites, test cases, or test scaffolding
  • No GENERATING sync scripts — They are bundled with this skill as pre-built resources. COPY them, don't generate them.
  • No daemons or services — No background processes, servers, or persistent runtimes
  • No modifications to existing squad files beyond the decision entry (no changes to team.md, routing.md, agent charters, etc.)

Your role: Configure the mesh topology and install the bundled sync scripts. Nothing more.

Context

When squads are on different machines (developer laptops, CI runners, cloud VMs, partner orgs), the local file-reading convention still works — but remote files need to arrive on your disk first. This skill teaches the pattern for distributed squad communication.

When this applies:

  • Squads span multiple machines, VMs, or CI runners
  • Squads span organizations or companies
  • An agent needs context from a squad whose files aren't on the local filesystem

When this does NOT apply:

  • All squads are on the same machine (just read the files directly)

Patterns

The Core Principle

"The filesystem is the mesh, and git is how the mesh crosses machine boundaries."

Read the full file on GitHub · 288 lines

Files

What ships with it

3 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. 1mo ago First seen · 288 lines · 16 tokens per session scan A a9e91ed408df

Subscribe to this mod's changes

distributed-mesh is a skill published in the GitHub repository alonf/MCPPythonDemo (0 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 3,069 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to distributed-mesh, differing in 574 lines, and is treated as a copy.

Related

Other skills, from other repositories