personal-squad

personal-squad is a skill for Claude Code, Codex from DanWahlin/ai-agent-board. It costs 0 tokens per session (463 once invoked), scanned A, a copy of personal-squad, MIT.

A user-level collection of AI agents that is automatically available across projects. These personal agents are stored in a global configuration folder and can be combined with project agents.

In plain words
What is it for?
Initialize a personal squad, list or add agents, remove agents, and include personal agents in squad sessions.
Why use it?
It keeps preferred agents available from project to project while allowing them to be disabled when needed.

Skill for Claude CodeCodex

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

Good fit Initialize a personal squad, list or add agents, remove agents, and include personal agents in squad sessions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danwahlin/ai-agent-board/personal-squad
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 DanWahlin/ai-agent-board --skill personal-squad
Clone the repo
git clone --depth 1 https://github.com/DanWahlin/ai-agent-board

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 personal-squad

README.md
[![agentmods](https://agentmods.dev/badge/skills/danwahlin/ai-agent-board/personal-squad/github.svg)](https://agentmods.dev/skills/danwahlin/ai-agent-board/personal-squad)
Your own site
<a href="https://agentmods.dev/skills/danwahlin/ai-agent-board/personal-squad"><img src="https://agentmods.dev/badge/skills/danwahlin/ai-agent-board/personal-squad/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 personal-squad

Your own site · 80×15
<a href="https://agentmods.dev/skills/danwahlin/ai-agent-board/personal-squad"><img src="https://agentmods.dev/badge/skills/danwahlin/ai-agent-board/personal-squad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 463 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% 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 $0.00000 $0.00463
Opus 5 $0.00000 $0.00231
Sonnet 5 $0.00000 $0.00093
Haiku 4.5 $0.00000 $0.00046

Measured 10d ago against content hash 50a2124bf837, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

personal-squad 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 10d 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.

Origin

This is a copy

95% identical to personal-squad — 13 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/personal-squad/SKILL.md · 58 lines

What it actually says

Personal Squad — Skill Document

What is a Personal Squad?

A personal squad is a user-level collection of AI agents that travel with you across projects. Unlike project agents (defined in a project's .squad/ directory), personal agents live in your global config directory and are automatically discovered when you start a squad session.

Directory Structure

~/.config/squad/personal-squad/    # Linux/macOS
%APPDATA%/squad/personal-squad/    # Windows
├── agents/
│   ├── {agent-name}/
│   │   ├── charter.md
│   │   └── history.md
│   └── ...
└── config.json                    # Optional: personal squad config

How It Works

  1. Ambient Discovery: When Squad starts a session, it checks for a personal squad directory
  2. Merge: Personal agents are merged into the session cast alongside project agents
  3. Ghost Protocol: Personal agents can read project state but not write to it
  4. Kill Switch: Set SQUAD_NO_PERSONAL=1 to disable ambient discovery

Commands

  • squad personal init — Bootstrap a personal squad directory
  • squad personal list — List your personal agents
  • squad personal add {name} --role {role} — Add a personal agent
  • squad personal remove {name} — Remove a personal agent
  • squad cast — Show the current session cast (project + personal)

Ghost Protocol

See templates/ghost-protocol.md for the full rules. Key points:

  • Personal agents advise; project agents execute
  • No writes to project .squad/ state
  • Transparent origin tagging in logs
  • Project agents take precedence on conflicts

Configuration

Optional config.json in the personal squad directory:

{
  "defaultModel": "auto",
  "ghostProtocol": true,
  "agents": {}
}

Environment Variables

  • SQUAD_NO_PERSONAL — Set to any value to disable personal squad discovery
  • SQUAD_PERSONAL_DIR — Override the default personal squad directory path
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. 10d ago First seen · 58 lines · 0 tokens per session scan A 50a2124bf837

Subscribe to this mod's changes

personal-squad is a skill published in the GitHub repository DanWahlin/ai-agent-board (57 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 463 tokens. A static security scan graded it A with 0 findings. It is 95% identical to personal-squad, differing in 13 lines, and is treated as a copy.

Related

Other skills, from other repositories

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

haiku

When writing a haiku for this bot, follow these conventions.

agno-agi/agno · 0 tokens

fastapi-router-py

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.

microsoft/skills · 46 tokens

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 tokens

mochi-remind

Handle due reminders — notify the user with natural language and mark them done.

kirodotdev/KiroCrew · 20 tokens