giza-zkml-visualization SKILL.md skillA
giza-zkml-visualization from nirholas/three.ws is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nirholas/three.ws/giza-zkml-visualization@git:20260501.87cefc9Pins git:20260501.87cefc9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nirholas/three.ws
- Path
data/skills/development/giza-zkml-visualization/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260501.87cefc9, committed May 1, 2026
- Size
- 3,940 bytes
- Repository stars
- 269
- License
- Apache-2.0
Giza ZKML Agent Visualization — guide covering key concepts, implementation patterns, and best practices.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Giza ZKML Agent Visualization ## Overview Giza is a protocol for deploying verifiable AI agents on-chain using Zero-Knowledge Machine Learning (ZKML). This skill covers how Giza agents work, proof verification, and how to interpret the visualization dashboards in SperaxOS. ## Key Concepts ### Zero-Knowledge Machine Learning (ZKML) ZKML allows AI model inferences to be verified on-chain without revealing the model weights or input data. This creates **trustless AI** — anyone can verify that a model produced a specific output from a specific input, without needing to trust the model operator. ### Giza Agents On-chain AI agents deployed via the Giza protocol. Each agent: - Runs a specific ML model (e.g., price prediction, risk scoring) - Generates ZKML proofs for each inference - Can be deployed on multiple chains (Starknet, Ethereum, Arbitrum, etc.) - Has a verifiable track record of accuracy and performance ### Proof Systems Giza supports multiple proof backends: - **Cairo** — Native to Starknet, fastest proving time for StarkNet deployments - **Noir** — Aztec Labs' DSL for ZK circuits, good for Ethereum L1 - **RISC Zero** — General-purpose zkVM, supports any computation …
Read the whole file at its exact version.
How to install
mdr add nirholas/three.ws/giza-zkml-visualization@sha256:a899964c43169a5aThe line at the top of this page pins the label git:20260501.87cefc9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_uj7ilq6dqqadxy4k)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 1, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3940 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nirholas/three.ws · 269 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_uj7ilq6dqqadxy4k GET https://markdownregistry.com/api/v1/resolve?ref=nirholas/three.ws/giza-zkml-visualization GET https://markdownregistry.com/api/v1/blob/a899964c43169a5a846b93f9effc38b9c14d2c84176f948db40cba74d8c493d8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.