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An MCP server with one tool, model_salt. Before a creative task the model calls it and gets back a few choices to settle this time, drawn from randomness outside the model (atmospheric and quantum noise). Then it does the request as asked, so the same prompt gives different answers that still do what was asked. No API key.
The root plugin.json (Agent Plugins 1.0.0) declares the MCP server in mcp.json (npx -y @modelsalt/model-salt anthropic) and one skill in skills/model-salt/SKILL.md. It runs locally and needs no credentials.
Submission checklist
The plugin lives in a public GitHub repository.
The ref and/or sha I provided is immutable (release tag and/or full 40-character commit SHA), not a branch.
This submission follows this repository's contribution, security, and responsible AI policies.
This plugin is not already listed in the Awesome Copilot marketplace.
Agent Plugins v1.0.0 manifest checks passed for plugin.json.
vally lint output (✅ pass)
✅ model-salt (2/2 checks passed)
✓ [spec-compliance] All 1 skill(s) are spec-compliant.
✓ spec-compliance: All spec checks passed.
✓ [valid-refs] All file references across 1 skill(s) are valid.
✓ valid-refs: All file references resolve to existing files within the skill directory.
1 skill(s) linted, 1 passed
install smoke test output (✅ pass)
Install smoke test succeeded. Verified /tmp/external-plugin-quality-S76m70/copilot-home/.copilot/installed-plugins/external-plugin-intake/model-salt/plugin.json.
Version match output
- 5b505bb6cc4acb11c6972df493ee39712ef6e976: matched version "1.0.2" at "plugin.json".
Ref/SHA consistency output
Ref/SHA consistency gate skipped because one of source.ref or source.sha was not provided.
Canvas structure output
Canvas structure gate skipped because plugin is not tagged with "canvas".
Canonical external.json payload
{
"name": "model-salt",
"description": "An MCP server with one tool, model_salt. Before a creative task the model calls it and gets back a few choices to settle this time, drawn from randomness outside the model (atmospheric and quantum noise). Then it does the request as asked, so the same prompt gives different answers that still do what was asked. No API key.",
"version": "1.0.2",
"author": {
"name": "Chris Benjaminsen",
"url": "https://chrisbenjaminsen.com"
},
"repository": "https://github.com/modelsalt/model-salt",
"homepage": "https://modelsalt.com",
"license": "MIT",
"keywords": [
"mcp",
"creative",
"randomness",
"variety"
],
"source": {
"source": "github",
"repo": "modelsalt/model-salt",
"sha": "5b505bb6cc4acb11c6972df493ee39712ef6e976"
}
}
Activity
github-actions commentedon Nov 2, 2026
🔴 Contributor Reputation Check: HIGH risk
Maintainers: please review this contributor before merging.
See the workflow run for full details.
Automated check powered by AGT.
github-actions commentedon Nov 2, 2026
✅ External plugin intake passed
This submission passed automated intake validation and quality checks and is ready for maintainer review.
View workflow run · Download full quality gate logs
Plugin: model-salt
Repository: https://github.com/modelsalt/model-salt
SHA:
5b505bb6cc4acb11c6972df493ee39712ef6e976Reviewer signals
These are non-blocking heuristics for maintainer review; they are not evidence of misconduct or low quality.
Quality gate summary
Legend: ✅ pass ·⚠️ warning · 🛑 fail
spec compliance output (✅ pass)
vally lint output (✅ pass)
install smoke test output (✅ pass)
Version match output
Ref/SHA consistency output
Canvas structure output
Canonical external.json payload
{ "name": "model-salt", "description": "An MCP server with one tool, model_salt. Before a creative task the model calls it and gets back a few choices to settle this time, drawn from randomness outside the model (atmospheric and quantum noise). Then it does the request as asked, so the same prompt gives different answers that still do what was asked. No API key.", "version": "1.0.2", "author": { "name": "Chris Benjaminsen", "url": "https://chrisbenjaminsen.com" }, "repository": "https://github.com/modelsalt/model-salt", "homepage": "https://modelsalt.com", "license": "MIT", "keywords": [ "mcp", "creative", "randomness", "variety" ], "source": { "source": "github", "repo": "modelsalt/model-salt", "sha": "5b505bb6cc4acb11c6972df493ee39712ef6e976" } }