Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
python - Skill - OpenSmartRoute
Skillv1.0.0
python
Executes elements whose implementation is a python:// entry point, with the study's dependencies installed. Use when a diagram calls Python functions for its data or analysis steps.
Imported from behaverse/studyflow-modeler (skills/python/SKILL.md). Install upstream with npx skills add behaverse/studyflow-modeler --skill python. Copyright stays with the author (MIT).
A runner-only skill for the core vocabulary: any element with implementation: python://<module>.<callable>
is claimed and called with its inputs, in an environment holding the study's dependencies. Its
additionalArguments mapping holds the call's keyword arguments (args the positional ones). An argument that is one
placeholder, {split.train}, passes the value it cites rather than its text.
test_local.py is its self-check.
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - a plan picks it for its slot
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
behaverse-studyflow-modeler-python.ocm.jsonjson
{
"ocm": "1",
"id": "behaverse-studyflow-modeler-python",
"kind": "skill",
"name": "python",
"description": "Executes elements whose implementation is a python:// entry point, with the study's dependencies installed. Use when a diagram calls Python functions for its data or analysis steps.",
"publisher": "behaverse",
"version": "1.0.0",
"capabilities": {
"domains": [
"coding"
],
"tags": [
"skill-md",
"github"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Executes elements whose implementation is a python:// entry point, with the study's dependencies installed. Use when a diagram calls Python functions for its data or analysis steps."
],
"primary": false,
"metadata": {
"source": {
"provider": "github",
"repository": "https://github.com/behaverse/studyflow-modeler",
"path": "skills/python/SKILL.md",
"ref": "f21b1934a2c3b728e0e67964e78d750ad2b1afc6",
"url": "https://github.com/behaverse/studyflow-modeler/blob/f21b1934a2c3b728e0e67964e78d750ad2b1afc6/skills/python/SKILL.md",
"key": "behaverse/studyflow-modeler/skills/python/SKILL.md"
},
"compatibility": "Local runtime with uv.",
"license": "MIT"
},
"instructions": "A runner-only skill for the core vocabulary: any element with `implementation: python://<module>.<callable>`\nis claimed and called with its inputs, in an environment holding the study's `dependencies`. Its\n`additionalArguments` mapping holds the call's keyword arguments (`args` the positional ones). An argument that is one\n[placeholder](../../docs/reference.qmd#placeholders), `{split.train}`, passes the value it cites rather than its text.\n`test_local.py` is its self-check.",
"cost": {
"context_tokens": 119
}
}
Fetch it by URL: GET /api/v1/registry/behaverse-studyflow-modeler-python/manifest?version=1.0.0
Reviews
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