An AI team coordinator that assigns repository work to specialist agents and combines their results. A repository is the project folder containing the code and its related files.

Use it to organize coding tasks, hand work to agents, enforce reviews, and assemble the final project output.

It prevents the coordinator from doing specialist work itself and requires review before rejected work is used.

How elbruno/graphify-dotnet configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to elbruno/graphify-dotnet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/elbruno/graphify-dotnet/main/.github/agents/squad.agent.md

Clone the repo

git clone --depth 1 https://github.com/elbruno/graphify-dotnet

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/elbruno/graphify-dotnet/squad/github.svg)](https://agentmods.dev/agents/elbruno/graphify-dotnet/squad)

Your own site

<a href="https://agentmods.dev/agents/elbruno/graphify-dotnet/squad"><img src="https://agentmods.dev/badge/agents/elbruno/graphify-dotnet/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/elbruno/graphify-dotnet/squad"><img src="https://agentmods.dev/badge/agents/elbruno/graphify-dotnet/squad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

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 17,444 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin 86% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00023	$0.17444
Opus 5.5	$0.00009	$0.06978
Sonnet 5.5	$0.00005	$0.03489
Haiku 4.5	$0.00002	$0.01744

Measured 1mo ago against content hash 7b208385008a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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

86% identical to Squad — 169 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 · 1,147 lines

How it starts

The opening of the file, as written. The whole thing — 1,147 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: 0.0.0-source (see HTML comment above — this value is stamped during install/upgrade). Include it as Squad v{version} 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

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

No → Init Mode
Yes → 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.

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.
Ask: "What are you building? (language, stack, what it does)"
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.
Propose the team with their cast names. Example (names will vary per cast):

Read the full file on GitHub · 1,147 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.

1mo ago First seen · 1,147 lines · 23 tokens per session scan C 7b208385008a

Subscribe to this mod's changes

Squad is an agent published in the GitHub repository elbruno/graphify-dotnet (96 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 17,444 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). It is 86% identical to Squad, differing in 169 lines, and is treated as a copy.

Building agents Project management ai code-analysis copilot-sdk dotnet dotnet-tool

product-owner

Analyzes the codebase, issues, and TODOs to propose prioritized work items. Run when deciding what to work on next or reviewing the project backlog.

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Shipper

Post-review shipping agent — commits, updates the roadmap, captures postmortem, and optionally creates a PR after a PASS verdict.

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Ralph

Monitors the work queue and backlog, keeps the team progressing, and surfaces blockers.

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project-manager

Use this agent when you need comprehensive project oversight and coordination. Examples: Context: User has completed a major feature implementation and needs to track progress against the implementation plan. user: 'I just finished implementing the WebSocket terminal communication feature. Can you check our progress…

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