llmlb-cli-usage
Practical guide for llmlb assistant CLI commands replacing the legacy MCP server flow.
npx skills add majiayu000/claude-skill-registry --skill llmlb-cli-usage-akiojin-llmlb-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# llmlb Assistant CLI Usage (Claude Code) Use `llmlb assistant` as the default interface for API inspection and curl execution. ## Preferred command order 1. `llmlb assistant openapi` to inspect endpoint schema. 2. `llmlb assistant guide --category <...>` to load task-specific API notes. 3. `llmlb assistant curl --command "curl ..."` to execute requests safely. ## Examples ```bash llmlb assistant openapi llmlb assistant guide --category overview llmlb assistant curl --command "curl http://localhost:32768/v1/models" --json ``` ## Auth and environment - `LLMLB_URL` (default: `http://localhost:32768`) - `LLMLB_API_KEY` for `/v1/*` - `LLMLB_ADMIN_API_KEY` for `/api/*` - `LLMLB_JWT_TOKEN` fallback for `/api/auth/*` ## Safety notes - Requests to non-allowed hosts are blocked. - Shell-injection patterns and dangerous curl options are rejected. - Use `--no-auto-auth` only when you must send custom auth headers.
- Preferred command order
- Examples
- Auth and environment
- Safety notes
llmlb assistant openapi llmlb assistant guide --category overview llmlb assistant curl --command "curl http://localhost:32768/v1/models" --json
What does the llmlb-cli-usage skill do?
Practical guide for llmlb assistant CLI commands replacing the legacy MCP server flow.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llmlb-cli-usage-akiojin-llmlb-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
