Two Windows agent-loop friction fixes:
1. tools/mcp_tool.py (#56536): shutil.which(cmd, path=env_path) reads
executable extensions from the PARENT process PATHEXT, not the MCP
subprocess env — a stdio MCP config supplying both PATH and PATHEXT
could fail to resolve a command its own env can locate, and startup
then got a bare command name. On Windows, when the first which() call
misses and the config env carries PATHEXT (any key casing), retry the
resolution with the config's PATHEXT temporarily applied.
2. skills/ + optional-skills/ (#50606): 42 SKILL.md files that declare
platforms: [.., windows] used python3 in their command examples.
python3 does not exist on native Windows (the toolchain probe in the
system prompt reports python3=missing), so every copy-pasted example
burned a failed agent turn before self-correction. Replaced the
command word python3 -> python (python3-config / python3.x version
strings untouched). python is the spelling that exists in every
Hermes-managed environment (Windows native, uv-managed venvs on all
three OSes); agents on POSIX hosts additionally see the probed
toolchain line and adapt either way.
Add two pitfalls discovered when running the skill against a fresh
Jupyter server:
- Pitfall #9: When the websocket reply channel hangs on every execute
even though the kernel actually ran (REST shows execution_state=idle
and execution_count increments), force zmq transport with
--transport zmq. The zmq transport uses jupyter_client directly and
sidesteps the broken websocket layer.
- Pitfall #10: A fresh ServerApp rejects POST /api/sessions with
"_xsrf argument missing from POST" unless you start it with
--ServerApp.disable_check_xsrf=True. Needed for REST-only flows
where no browser/cookie is establishing the XSRF token.
Per the 'when in doubt, optional' rule — the live-kernel workflow needs
uv + JupyterLab + a running server + a cloned hamelnb repo, a niche
setup that shouldn't ship active by default.
Renamed jupyter-live-kernel -> jupyter-notebook (skill name, page slugs,
catalogs, sidebar, zh-Hans mirror, darwinian-evolver related_skills).
Install via: hermes skills install official/data-science/jupyter-notebook
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