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swarms: Instructions file for GitHub Copilot

.github/copilot-instructions.md

swarms copilot-instructions.md is an instructions file for GitHub Copilot from kyegomez/swarms. It costs 149 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for Swarms, a Python framework for coordinating multiple AI agents. They point contributors to the main agent guide, current documentation, import conventions, and formatting and commit rules.

In plain words
What is it for?
Use them when Copilot edits the Swarms codebase or prepares commits and pull requests.
Why use it?
They reduce errors from using old APIs or repository conventions incorrectly when working with GitHub Copilot.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is kyegomez/swarms's own configuration. It tells GitHub Copilot how to work on swarms itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything swarms configures →

not rated 7.4krepo +19 yesterday A scan 149 tokens original Apache-2.0
View source ↗ kyegomez/swarms docs.swarms.world
About the project

Swarms is a Python framework for coordinating multiple autonomous language-model agents into workflows such as sequential, concurrent, or hierarchical systems. It is used to build multi-step applications in which agents combine language models, tools, and memory. The catalogue entries provide agent-oriented skills, instructions, and an agent for working with Swarms.

kyegomez/swarms · 7,353 stars · on GitHub · docs.swarms.world

Reuse

Borrowing it

Nothing to install: this file belongs to kyegomez/swarms. 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/kyegomez/swarms/master/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/kyegomez/swarms

Made for: GitHub Copilot.

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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/kyegomez/swarms/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/kyegomez/swarms/copilot-instructions/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.

agentmods 80×15 button for swarms copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/kyegomez/swarms/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/kyegomez/swarms/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 This file is loaded in full into every session.
When invoked 149 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00149 $0.00149
Opus 5.5 $0.00060 $0.00060
Sonnet 5.5 $0.00030 $0.00030
Haiku 4.5 $0.00015 $0.00015

Measured 10d ago against content hash df711f713c54, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

swarms copilot-instructions.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 10d 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.

.github/copilot-instructions.md · 9 lines

What it actually says

Copilot instructions

This repository is Swarms, a multi-agent orchestration framework for Python.

  • Read AGENTS.md for the quickstart and rules, and CLAUDE.md for the full guide to Agent and every multi-agent structure.
  • Import from the top level: from swarms import Agent.
  • For current APIs, use the docs MCP server at https://docs.swarms.world/mcp or the plain-text docs at https://docs.swarms.world/llms.txt.
  • Commit and PR titles use [TYPE][Function/FileName][Short description]. Format with black --line-length 70.
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. 10d ago First seen · 9 lines · 149 tokens per session scan A df711f713c54

Subscribe to this mod's changes

swarms copilot-instructions.md is an instructions file published in the GitHub repository kyegomez/swarms (7,353 stars, last pushed yesterday), licensed Apache-2.0. It adds 149 tokens to every session, about $0.0006 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 2026-10-27.

Building agentsLangChainLanguagesPythonagentsartificial-intelligencemachine-learningprompt-engineeringswarms
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