Agent skill · mims-harvard
setup-expert-feedback-remote-tool
Set up, launch, validate, and troubleshoot the Human expert feedback ToolUniverse remote tool and optionally relay it through ToolUniverse Connect. Use when deploying or auditing this implementation.
What it needs
About 4k tokens when loaded.
What this skill does
Set up Human expert feedback as a remote tool Validation status (2026-08-16): a clean Python 3.12.3 dependency install, loopback discovery of all five MCP tools, a complete two-client synthetic request/response lifecycle, and the Flask companion health endpoint passed. Public publication, independent-identity authorization, production WSGI deployment, retention/consent procedures, concurrency, and resource measurements remain incomplete; keep this deployment private until they pass. Authenticated private Platform import and owner testing passed on 2026-08-16; public publication and independent-caller authorization/isolation remain untested. Prerequisites Run from the ToolUniverse repository root on Linux with Python 3.12.3. CPU only; requires a staffed human-review workflow. Keep provider data, weights, caches, and credentials outside Git. Bind to loopback. A non-loopback bind requires TOOLUNIVERSEAPITOKEN; never put it in arguments or results. Run the standard-library contract check before downloading large dependencies: ~~~bash python scripts/remotevalidation/setupskillpreflight.py --implementation expert-feedback ~~~ After exporting provider resources, add --check-provider-env. After the server starts, add --live to verify the exact MCP tool set without running the model. Before sharing, add --check-connect-prereqs; this reports only whether a key is set and never prints its value. Create an isolated environment ~~~bash python3 -m venv .venvs/expert-feedback . .venvs/expert-feedback/bin/activate python -m pip install --upgrade pip python -m pip install -e . python -m pip install fastmcp flask requests ~~~ The clean-install commands passed in the validation workspace; rerun them on the deployment host and retain the resulting lock/install evidence. Obtain credentials, data, and model weights For non-loopback MCP/API/web binding set TOOLUNIVERSEAPITOKEN and forward the bearer token internally. Define retention, consent, access-control, and operator procedures. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills mims-harvard/setup-expert-feedback-remote-tool