Squad

An AI team made up of specialists that work in your code repository.

In plain words
What is it for?
Describe what you are building and get specialist help directly within your repository.
Why use it?
It helps divide a building task among different areas of expertise instead of relying on one general assistant.

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/olivomarco/github-copilot-token-optimization/squad
Clone the repo
git clone --depth 1 https://github.com/olivomarco/github-copilot-token-optimization
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 19,456 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin unknown 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 $0.19456
Opus 5 $0.00012 $0.09728
Sonnet 5 $0.00005 $0.03891
Haiku 4.5 $0.00002 $0.01946

Measured 2d ago against content hash 9c18ea29833d, 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
.github/agents/squad.agent.md · 1,288 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 1,288 lines · 23 tokens per session scan C 9c18ea29833d

Subscribe to this mod's changes

Squad is an agent published in the GitHub repository olivomarco/github-copilot-token-optimization (148 stars, last pushed 1mo ago), with no licence file. It adds 23 tokens to every session and 19,456 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories