SkyPilot is a system for running, managing, and scaling AI workloads across different computing infrastructure through one interface. AI teams use it for jobs such as machine learning, hyperparameter tuning, and inference, while infrastructure teams use it for scheduling, scaling, and orchestration.
Borrowing it
Nothing to install: this file belongs to skypilot-org/skypilot. 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/skypilot-org/skypilot/master/AGENTS.mdgit clone --depth 1 https://github.com/skypilot-org/skypilotWrote 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/skypilot-org/skypilot/agents-md)<a href="https://agentmods.dev/instructions/skypilot-org/skypilot/agents-md"><img src="https://agentmods.dev/badge/instructions/skypilot-org/skypilot/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/skypilot-org/skypilot/agents-md"><img src="https://agentmods.dev/badge/instructions/skypilot-org/skypilot/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 | $0.03956 | $0.03956 |
| Opus 5.5 | $0.01582 | $0.01582 |
| Sonnet 5.5 | $0.00791 | $0.00791 |
| Haiku 4.5 | $0.00396 | $0.00396 |
Grade A, and why
skypilot AGENTS.md scanned grade A 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -H "Authorization: Bearer $BUILDKITE_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - SkyPilot Development Guide
This document provides guidance for AI assistants working with the SkyPilot codebase.
Project Overview
SkyPilot is a system to run, manage, and scale AI workloads on any AI infrastructure. It provides a unified interface across 25+ cloud providers (AWS, GCP, Azure, Kubernetes, Slurm, and many others), enabling users to launch compute resources, run jobs, and serve models without vendor lock-in.
Key capabilities:
- Clusters: Launch and manage compute clusters across clouds and Kubernetes
- Managed jobs: Run jobs with automatic recovery from preemptions and failures
- Multi-cloud and multi-Kubernetes: Unified interface across 25+ clouds and multiple K8s clusters
- Cost optimization and GPU availability maximization
Repository Structure
skypilot/
├── sky/ # Main source code
│ ├── __init__.py # Package exports and version
│ ├── core.py # Core orchestration logic
│ ├── task.py # Task definition and YAML parsing
│ ├── resources.py # Cloud resource specifications
│ ├── optimizer.py # Resource allocation optimizer
│ ├── execution.py # Task execution pipeline
│ ├── exceptions.py # Custom exceptions
│ ├── skypilot_config.py # Configuration management
│ ├── clouds/ # Cloud provider abstractions (25+ providers)
│ ├── backends/ # Execution backends (Ray-based VM, Docker)
│ ├── provision/ # Cloud resource provisioning
│ ├── jobs/ # Managed job lifecycle
│ ├── serve/ # Model serving (SkyServe)
│ ├── skylet/ # On-cluster execution agent
│ ├── client/ # SDK and CLI
│ ├── server/ # API server and dashboard backend
│ ├── dashboard/ # Web UI (Next.js)
│ ├── utils/ # 50+ utility modules
│ ├── catalog/ # Cloud pricing and instance catalogs
│ ├── data/ # Storage and data handling
│ ├── adaptors/ # Cloud-specific metadata adapters
│ └── schemas/ # Protobuf definitions and API schemas
├── tests/ # Test suite
│ ├── unit_tests/ # Unit tests with subdirectories per module
│ ├── smoke_tests/ # Quick validation tests
│ ├── integration_tests/ # End-to-end tests
│ ├── kubernetes/ # K8s-specific tests
│ └── conftest.py # Pytest fixtures
├── examples/ # 50+ usage examples
├── llm/ # 45+ LLM training/serving examples
├── docs/ # Sphinx documentation
├── charts/ # Helm charts for K8s deployment
└── format.sh # Code formatting script
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.
- 2mo ago First seen · 484 lines · 3,956 tokens per session scan A d0b0725126a1
skypilot AGENTS.md is an instructions file published in the GitHub repository skypilot-org/skypilot (10,799 stars, last pushed yesterday), licensed Apache-2.0. It adds 3,956 tokens to every session, about $0.0158 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
skypilot AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skypilot AGENTS.mdskypilot-org/skypilot | Instructions file | 11k | yesterday | Apache-2.0 | A | 3,956 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |