mirror of
https://github.com/runpod/runpod-plugins-official.git
synced 2026-09-14 18:44:38 +08:00
Brian Connelly
9e7973bff3
The dev-loop-iteration live eval instructed the agent to run `flash undeploy --all --force` and asserted that no endpoints remained. Against a real Runpod account that deletes endpoints the eval never created, and the "no endpoints remain" assertion is false whenever the account already has endpoints. Scope cleanup to the `dev-loop-eval` endpoint the eval provisions, and assert only that endpoint is gone. Add explicit warnings against `--all`. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Runpod Agent Skills
Skills for AI agents to manage GPU workloads on Runpod.
Available Skills
flash
Complete knowledge of the runpod-flash framework - SDK, CLI, architecture, deployment, and codebase. Use when working with runpod-flash code, writing @remote functions, configuring resources, debugging deployments, or understanding the framework internals.
runpodctl
Manage GPU pods, serverless endpoints, templates, volumes, and models.
Installation
npx skills add runpod/skills
Works with Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, and 17+ other AI agents.
Setup
runpodctl doctor
Usage
Ask your AI agent:
- "Create a pod with an RTX 4090"
- "List my pods"
- "What GPUs are available?"
- "Show my account balance"
- "Deploy a serverless endpoint"
URLs
Pod URLs
Access exposed ports on your pod:
https://<pod-id>-<port>.proxy.runpod.net
Example: https://abc123xyz-8888.proxy.runpod.net
Serverless URLs
https://api.runpod.ai/v2/<endpoint-id>/run # Async request
https://api.runpod.ai/v2/<endpoint-id>/runsync # Sync request
https://api.runpod.ai/v2/<endpoint-id>/health # Health check
https://api.runpod.ai/v2/<endpoint-id>/status/<job-id> # Job status
Structure
flash/
└── SKILL.md
runpodctl/
└── SKILL.md
License
Apache-2.0