Borrowing it
Nothing to install: this file belongs to PedroMosquera/squadai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PedroMosquera/squadai/main/AGENTS.mdgit clone --depth 1 https://github.com/PedroMosquera/squadaiWrote 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.
[](https://agentmods.dev/instructions/pedromosquera/squadai/agents-md)<a href="https://agentmods.dev/instructions/pedromosquera/squadai/agents-md"><img src="https://agentmods.dev/badge/instructions/pedromosquera/squadai/agents-md/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.
<a href="https://agentmods.dev/instructions/pedromosquera/squadai/agents-md"><img src="https://agentmods.dev/badge/instructions/pedromosquera/squadai/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00598 | $0.00598 |
| Opus 5.5 | $0.00239 | $0.00239 |
| Sonnet 5.5 | $0.00120 | $0.00120 |
| Haiku 4.5 | $0.00060 | $0.00060 |
Grade A, and why
squadai AGENTS.md 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 16d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- squadai CLAUDE.md — 92% identical, 64 lines differ
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Memory Protocol
docs/memory/ is this project's persistent, indexed memory store for
decisions, learnings, and incidents. It survives across sessions. Use it.
Search first. Before starting significant work, run
squadai memory search <query> (or /memory-search <query> where slash
commands are available) and pass any findings into your plan. Never skip
memory-search before architecture or API decisions.
Capture as you go. After a decision, fix, or discovery, run
squadai memory add "<note>" (or /memory-add <note>). Notes land in
docs/memory/_inbox/ as drafts until promoted.
Housekeeping. Run squadai memory promote periodically to graduate inbox
drafts into permanent topic folders, and squadai memory reindex after manual
edits under docs/memory/ to keep the search index current.
For deeper multi-query research, ask the @librarian agent with a
plain-language question; it returns ranked excerpts from the memory index.
*
o o o .---.
/|\____/|\____/|\____|o o| S Q U A D A I
/ \ / \ / \ '---' humans + AI. one squad.
Session Efficiency Protocol
Work token-efficiently. These rules apply to every task in this repository.
Search before read. Locate code with grep/glob first; read only the files and line ranges you need. Never read a whole file when a targeted range works.
Never re-read a file you just edited. The edit either succeeded or errored; trust that result instead of re-opening the file to check.
Summarize long output. When a tool returns more than ~30 lines, extract the relevant findings instead of pasting the whole output into the transcript.
Delegate exploration. Send open-ended codebase exploration to sub-agents and request a compact report (files, symbols, one-line conclusions), and keep raw file dumps out of the main context.
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.
- 16d ago Changed · -61 lines · -624 tokens per session b2e6e5e84239
- 1mo ago First seen · 125 lines · 1,222 tokens per session scan A 9ac75f860c56
squadai AGENTS.md is an instructions file published in the GitHub repository PedroMosquera/squadai (10 stars, last pushed 4d ago), licensed MIT. It adds 598 tokens to every session, about $0.0024 per session on Opus 5.5. 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.