github scanned Safe content atomic container

local-model-suitability-mcp

local-model-suitability-mcp — ojaskord-local-model-suitability-mcp. Use this tool when you need to assess the suitability of local models for specific use cases, solving problems related to model deployment and optimization. It takes in model parameters and performance metrics as inputs and outputs a suitability score, helping you determine the best model for your needs. Ideal for use in machine learning pipelines, particularly when deploying models to local environments via git.

Cognium trust score
49%
Tier
Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
container
Category
other
Source
GitHub
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
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Use via MCP

MCP

Resolve local-model-suitability-mcp from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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