Model Registry Model Signature Verification logo

Model Registry Model Signature Verification

Organization
RedHatProductSecurity
model-registry-model-signature-verification

Verify model signatures in model registries to validate provenance. Use when building, configuring, or reviewing model registries, model upload pipelines, or model distribution workflows.

Overview

PublisherRedHatProductSecurity
Repositoryprodsec-skills
Skill namemodel-registry-model-signature-verification
Stars
56
Forks
9
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RedHatProductSecurity on GitHub. Read the source before you install it.

Installation

Install the Model Registry Model Signature Verification AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/model-registry-model-signature-verification
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RedHatProductSecurity/prodsec-skills.git /tmp/prodsec-skills
mkdir -p .claude/skills
cp -r /tmp/prodsec-skills/module/skills/model-registry-model-signature-verification .claude/skills/model-registry-model-signature-verification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Model Registry Model Signature Verification in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Model Registry Model Signature Verification on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Model Registry Model Signature Verification is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Model Signature Verification in Model Registries

Security Requirement

Model registries SHOULD be capable of verifying the cryptographic signature of models to validate their provenance. This ensures that only models from trusted sources are stored and distributed.

When to Verify

EventAction
Model uploadVerify signature before accepting the model into the registry
Model downloadProvide signature for consumers to verify (or re-verify on their behalf)
Periodic auditRe-verify signatures of stored models to detect storage-level tampering

Verification Requirements

  • Accept models signed with trusted keys only
  • Reject or flag models with invalid, expired, or missing signatures
  • Log all verification results as security events
  • Alert security teams on verification failures
  • Support standard signing mechanisms (Sigstore/cosign, GPG, or equivalent)

Implementation Checklist

  • Implement signature verification on model upload/ingestion
  • Maintain and manage a list of trusted signing keys or certificates
  • Reject models with invalid or missing signatures (or quarantine for review)
  • Store and expose signatures for downstream consumers to verify
  • Log signature verification results (success and failure)
  • Alert on signature verification failures
  • Support periodic re-verification of stored models

Frequently asked questions

What does the Model Registry Model Signature Verification AI skill do?

Verify model signatures in model registries to validate provenance. Use when building, configuring, or reviewing model registries, model upload pipelines, or model distribution workflows.

Why use Model Registry Model Signature Verification on TypingMind?

Because you install it once and use it with any model. Model Registry Model Signature Verification is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Model Registry Model Signature Verification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/model-registry-model-signature-verification. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Model Registry Model Signature Verification?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Model Registry Model Signature Verification?

As many as you like. As long as a model supports skills, you can use Model Registry Model Signature Verification with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Model Registry Model Signature Verification AI skill free?

Yes. It is published on GitHub by RedHatProductSecurity under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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