skills/llm-login/SKILL.md
Use when the user runs /llm-login or wants to authenticate an LLM provider (GitHub Copilot, Kimi, MiniMax, GLM, Qwen), check auth status, or logout from a provider.
npx skillsauth add SEUFSG/llm-gateway llm-loginInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Interactive authentication for LLM providers. After login, use /model to pick a model.
llm_status({}) to show current auth state for all providers/model to pick a model from this provider"llm_login({ provider: "copilot" })userCode and verificationUriPlease open [verificationUri] and enter code: [userCode] Waiting for authorization...
llm_login({ provider: "<name>", apiKey: "<key>" })Run llm_status({}) once more to show the updated state, then remind the user:
Run
/modelto select a model — all authenticated provider models are now available.
If the user wants to logout: call llm_logout({ provider: "<name>" })
data-ai
Use when the user wants to chat with a non-Claude model (GPT-4o, Claude via Copilot, Kimi, GLM, MiniMax), get a second opinion from another LLM, compare model responses, or when working on multi-agent tasks that benefit from model diversity. Also use in auto mode when Claude needs to delegate a subtask to the most appropriate available model.
development
Maintainer-only workflow for handling GitHub Secret Scanning alerts on OpenClaw. Use when Codex needs to triage, redact, clean up, and resolve secret leakage found in issue comments, issue bodies, PR comments, or other GitHub content.
development
Maintainer workflow for OpenClaw releases, prereleases, changelog release notes, and publish validation. Use when Codex needs to prepare or verify stable or beta release steps, align version naming, assemble release notes, check release auth requirements, or validate publish-time commands and artifacts.
development
Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the OpenClaw QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.