using-model-endpoint
Invoke an already configured model endpoint from a supported Wisp execution context and capture the bounded inference as a Run. Use only when the endpoint URL and authentication are already available inside that context; this skill does not register or manage services.
Profile →npx skills add xuzhougeng/wisp-science --skill using-model-endpoint --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.
# Use an existing model endpoint Wisp can record a bounded client invocation as a Run, but it does not register or manage the endpoint. Require all of the following: - a selected `local`, `wsl:<distro>`, or `ssh:<alias>` context; - a concrete endpoint URL reachable from that context; - authentication already configured by the user in that execution environment or the endpoint client's own external configuration; - a documented request and response schema; - a finite request timeout and a concrete output path. Do not ask the user to paste secrets into the command, project files, or chat. Wisp exposes no credential accessor to the Agent and does not inject keyring values into `run_in_context` commands. ## Invocation workflow 1. Write a small deterministic client such as `runs/call_endpoint.py`. Read the URL and credential variable names at runtime; never embed secret values. 2. Validate its request against the endpoint's documented schema. 3. For SSH, stage the client and small inputs with `input_paths`. Keep large inputs at an existing absolute remote path. 4. Submit one invocation with `run_in_context` and register the response with `output_specs`: ```json { "context_id": "ssh:gpu-
- Invocation workflow
What does the using-model-endpoint skill do?
Invoke an already configured model endpoint from a supported Wisp execution context and capture the bounded inference as a Run. Use only when the endpoint URL and authentication are already available inside that context; this skill does not register or manage services.
How do I install it?
Run `npx skills add xuzhougeng/wisp-science --skill using-model-endpoint --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 xuzhougeng/wisp-science, a repository with 895 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.