detecting-model-extraction-attacks SKILL.md skillA
detecting-model-extraction-attacks from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add adriannoes/awesome-agentic-ai/detecting-model-extraction-attacks@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- adriannoes/awesome-agentic-ai
- Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/detecting-model-extraction-attacks/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Jun 25, 2026
- Size
- 11,529 bytes
- Repository stars
- 69
- License
- MIT
Detect model stealing, model inversion, and membership inference performed through inference-API abuse by monitoring query patterns, applying output perturbation, and red-teaming your own model's extractability.
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
# Detecting Model Extraction Attacks > **Authorized Use Only:** The extraction, inversion, and membership-inference techniques described here are intended for defenders testing their own models and for red teams operating under written authorization. Querying a third-party model to clone it, reconstruct its training data, or infer membership without permission may violate terms of service, copyright, and privacy law. ## Overview Model extraction is the family of attacks in which an adversary abuses a model's **inference API** to steal value that the model owner intended to keep private. MITRE ATLAS catalogs these under **AML.T0024 — Exfiltration via AI Inference API**, in the *Exfiltration* tactic, with three sub-techniques: - **AML.T0024.000 — Infer Training Data Membership** (membership inference): the adversary determines whether a specific record was part of the training set, a privacy violation that can expose, for example, whether a patient's record trained a medical model. - **AML.T0024.001 — Invert AI Model** (model inversion): the adversary reconstructs representative training inputs (e.g., faces, text) by exploiting confidence scores returned by the API. …
Read the whole file at its exact version.
How to install
mdr add adriannoes/awesome-agentic-ai/detecting-model-extraction-attacks@sha256:80653a5d209c5d29The line at the top of this page pins the label v1.0, 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_gakzpvo2ir7nsrxw)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 25, 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 (11529 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
adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gakzpvo2ir7nsrxw GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/detecting-model-extraction-attacks GET https://markdownregistry.com/api/v1/blob/80653a5d209c5d298cec1584ee3056c189b066d5d5f7bbdad977aa78ba3af18c
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.