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.
npx agentmods add instructions/skypilot-org/skypilot/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.svg" alt="Measured on agentmods" 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 | $0.03956 | $0.03956 |
| Opus 5 | $0.01978 | $0.01978 |
| Sonnet 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 4d 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.
- 4d 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 (10,555 stars, last pushed today), licensed Apache-2.0. It adds 3,956 tokens to every session, about $0.0198 per session on Opus 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.
Other instructions, from other repositories
DeepSpeed AGENTS.md
AGENTS.md instructions for deepspeedai/DeepSpeed, covering deepspeed project rules, commit & ci requirements, code change discipline, tool caveats and edit tool auto-formatter.
streamlit copilot-instructions.md
Copilot instructions for streamlit/streamlit, covering streamlit repo overview, tech stack, folder structure, shell & build policy and make commands.
huggingface_hub AGENTS.md
AGENTS.md instructions for huggingface/huggingface_hub, covering agent guide for huggingfacehub, project overview, setup, key commands and code structure.
pytorch CLAUDE.md
Claude Code instructions for pytorch/pytorch, covering ai policy — mandatory, scratch space, pr review, environment and ci docker images.
pytorch copilot-instructions.md
Copilot instructions for pytorch/pytorch, covering pytorch copilot instructions, architecture overview, core components, the code generation workflow and development workflows.
dstack AGENTS.md
AGENTS.md instructions for dstackai/dstack, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.