auditing-ml-model-supply-chain SKILL.md skillA
auditing-ml-model-supply-chain from unboundcompute/security-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add unboundcompute/security-agent-skills/auditing-ml-model-supply-chain@git:20260816.a0bc1d1Pins git:20260816.a0bc1d1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- unboundcompute/security-agent-skills
- Path
skills/auditing-ml-model-supply-chain/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260816.a0bc1d1, committed Aug 16, 2026
- Size
- 6,592 bytes
- Repository stars
- 26
- License
- MIT
Audit the machine-learning models you load as untrusted code, not just data. Covers deserialization RCE from unsafe checkpoint formats (a model file that runs code on load), poisoned or backdoored weights, tampered or trojaned models pulled from a public hub, name and version confusion for model artifacts, and skipped integrity verification. Use when adding a model, checkpoint, or weights file to a pipeline, reviewing where models are loaded, or vetting a third-party model. A model file is…
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
# Auditing the ML model supply chain: a model file is code you run A model file is usually treated as inert data, a bag of weights. Many formats are not: loading one can execute arbitrary code embedded in the file, and even a pure-weights model can carry a backdoor that changes behavior on a trigger. The moment your pipeline loads a model someone else produced, that model is untrusted code and untrusted logic entering your system, on the training host, the inference server, or a developer's laptop. ## When to use - You are adding a model, checkpoint, or weights file to a training or inference pipeline. - You are reviewing where and how models are loaded, and from where. - You are vetting a third-party or publicly-hosted model before you trust it. ## Scope check Audit models and pipelines you own or are authorized to test. Do not load or execute untrusted model files outside a contained environment. If you can't name the authorization, stop. ## The loop 1. **Inventory every model load path and its format.** List where the system loads a model, checkpoint, or weights file, who produced each one, and the serialization …
Read the whole file at its exact version.
How to install
mdr add unboundcompute/security-agent-skills/auditing-ml-model-supply-chain@sha256:bf6398d682d9a5d1The line at the top of this page pins the label git:20260816.a0bc1d1, 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_i2umysshgqd7hvqm)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 16, 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 (6592 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
unboundcompute/security-agent-skills · 26 stars · license MIT · pushed 2026-09-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_i2umysshgqd7hvqm GET https://markdownregistry.com/api/v1/resolve?ref=unboundcompute/security-agent-skills/auditing-ml-model-supply-chain GET https://markdownregistry.com/api/v1/blob/bf6398d682d9a5d1dd2882883652fefacadd64f4417467eef33e9fb80556ebf2
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.