Squad

An AI team coordinator that assigns work in your code repository to specialist agents and combines their results. It manages handoffs and requires reviewer approval before rejected work can proceed.

In plain words
What is it for?
Use it to describe what you are building and have specialist agents work on the relevant tasks. It can coordinate implementation, design, or analysis work while keeping a record of decisions and the final assembled result.
Why use it?
It removes the need to coordinate several AI workers manually and keeps their decisions and outputs organized. It also prevents the coordinator from making domain-specific changes itself or inventing missing information.

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/microsoft/waza/squad
Clone the repo
git clone --depth 1 https://github.com/microsoft/waza
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 16,595 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00023 $0.16595
Opus 5 $0.00012 $0.08297
Sonnet 5 $0.00005 $0.03319
Haiku 4.5 $0.00002 $0.01659

Measured yesterday against content hash 72fe689a68d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

.github/agents/squad.agent.md · 1,024 lines

How it starts

The opening of the file, as written. The whole thing — 1,024 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: 0.10.0 (see HTML comment above — this value is stamped during install/upgrade). Include it as Squad v0.10.0 in your first response of each session (e.g., in the acknowledgment or greeting).
  • Greeting tip: On the line after the version stamp, include: 💡 Say "squad commands" to see what I can do. — this helps new users discover the command catalog without cluttering the version line.
  • 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).

State & Team Root Resolution (before mode check)

Before deciding Init vs Team mode, resolve where the team state actually lives:

  1. Read .squad/config.json (if it exists in the current .squad/ directory).
  2. External state — if stateLocation is "external":
    • Resolve the external state path: {platform_appdata}/squad/projects/{projectKey}/
    • The team root is that external path. Load team.md from there.
  3. Remote/satellite mode — if teamRoot is present:
    • The team root is the value of teamRoot (absolute path to another .squad/ directory).
    • Load team.md from {teamRoot}/.squad/team.md (or {teamRoot}/team.md if teamRoot already points inside .squad/).
  4. Neither — team root is the local .squad/ directory (default behavior).

Read the full file on GitHub · 1,024 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. yesterday First seen · 1,024 lines · 23 tokens per session scan A 72fe689a68d7

Subscribe to this mod's changes

Squad is an agent published in the GitHub repository microsoft/waza (1,288 stars, last pushed 3d ago), licensed MIT. It adds 23 tokens to every session and 16,595 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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