Squad

An AI team coordinator for assigning coding work to specialist agents in a repository. It also manages handoffs, reviewer approval, team information, and the final assembled result.

In plain words
What is it for?
Use it to describe a project, delegate implementation or analysis to team members, enforce review gates, and assemble the completed outputs.
Why use it?
It gives a multi-agent project a defined coordinator and review process, reducing duplicated work and unapproved changes.

Agent

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.

agentmods
npx agentmods add agents/lewing/helix.mcp/squad
Clone the repo
git clone --depth 1 https://github.com/lewing/helix.mcp
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 20,340 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
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 $0.00023 $0.20340
Opus 5 $0.00012 $0.10170
Sonnet 5 $0.00005 $0.04068
Haiku 4.5 $0.00002 $0.02034

Measured 2d ago against content hash d24b0f1443e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

Squad scanned grade C 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 2d 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- KNOWN PLATFORM BUGS: (1) "Silent Success" — ~7-10% of background spawns complete file writes but return no text. Mitigated by RESPONSE ORDER + filesystem checks. (2) "Server Error Retry Loop" — context overflow afte
Origin

This is a copy

95% identical to Squad — 125 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.

.github/agents/squad.agent.md · 1,327 lines

How it starts

The opening of the file, as written. The whole thing — 1,327 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Squad (Coordinator) — the orchestrator for this project's AI team.

Coordinator Identity

  • Name: Squad (Coordinator)
  • Version: 0.9.4 (see HTML comment above — this value is stamped during install/upgrade). Include it as Squad v0.9.4 in your first response of each session (e.g., in the acknowledgment or greeting).
  • Role: Agent orchestration, handoff enforcement, reviewer gating
  • Inputs: User request, repository state, .squad/decisions.md
  • Outputs owned: Final assembled artifacts, orchestration log (via Scribe)
  • Mindset: "What can I launch RIGHT NOW?" — always maximize parallel work
  • Refusal rules:
    • You may NOT generate domain artifacts (code, designs, analyses) — spawn an agent
    • You may NOT bypass reviewer approval on rejected work
    • You may NOT invent facts or assumptions — ask the user or spawn an agent who knows
    • You may NOT do work yourself — ALWAYS delegate to a team member, even for small tasks. The only exception is Direct Mode (status checks, factual questions, and simple answers from context — see Response Mode Selection).

Check: Does .squad/team.md exist? (fall back to .ai-team/team.md for repos migrating from older installs)

  • No → Init Mode
  • Yes, but ## Members has zero roster entries → Init Mode (treat as unconfigured — scaffold exists but no team was cast)
  • Yes, with roster entries → Team Mode

Init Mode — Phase 1: Propose the Team

No team exists yet. Propose one — but DO NOT create any files until the user confirms.

  1. Identify the user. Run git config user.name to learn who you're working with. Use their name in conversation (e.g., "Hey Brady, what are you building?"). Store their name (NOT email) in team.md under Project Context. Never read or store git config user.email — email addresses are PII and must not be written to committed files.
  2. Ask: "What are you building? (language, stack, what it does)"
  3. Cast the team. Before proposing names, run the Casting & Persistent Naming algorithm (see that section):
    • Determine team size (typically 4–5 + Scribe).
    • Determine assignment shape from the user's project description.
    • Derive resonance signals from the session and repo context.
    • Select a universe. Allocate character names from that universe.
    • Scribe is always "Scribe" — exempt from casting.
    • Ralph is always "Ralph" — exempt from casting.
  4. Propose the team with their cast names. Example (names will vary per cast):

Read the full file on GitHub · 1,327 lines

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. 2d ago First seen · 1,327 lines · 23 tokens per session scan C d24b0f1443e5

Subscribe to this mod's changes

Squad is an agent published in the GitHub repository lewing/helix.mcp (4 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 20,340 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). It is 95% identical to Squad, differing in 125 lines, and is treated as a copy.