Exploiting AI Model File RCE

Exploiting AI Model File RCE is a Quality skill for Claude Code, published by xalgord in xalgorix.

852 stars151 forkson xalgord/xalgorixAdded 2026/07/20+1% in starsRepository updated 2026/08/04

ai-agentai-securityautomationautonomous-pentestingbug-bountycybersecurityethical-hackinggolangpenetration-testingpentestpentesting-toolsreconsecuritysecurity-researchsecurity-toolstypescriptvulnerability-detectionvulnerability-scanner

Install in seconds

Install Exploiting AI Model File RCE

Copy Exploiting AI Model File RCE into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/xalgorix/xalgorix/tree/main/internal/tools/skills/data/ai-security/exploiting-ai-model-file-rce ~/.claude/skills/exploiting-ai-model-file-rce

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/xalgorix/xalgorix.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: internal/tools/skills/data/ai-security/exploiting-ai-model-file-rce/SKILL.md in xalgord/xalgorix
Installs to: ~/.claude/skills/exploiting-ai-model-file-rce
Collection: One of 51 skills cataloged from this repository
Category: Quality — 1897 skills

What Exploiting AI Model File RCE does

Craft malicious model files to test for remote code execution vulnerabilities in AI model-loading pipelines. Covers pickle, Hydra, Keras, archive traversal, and other deserialization attack vectors.

Exploiting AI Model File RCE is cataloged under Quality on DirSkills. Exploiting AI Model File RCE comes from a repository tagged ai-agent, ai-security, automation, autonomous-pentesting and bug-bounty.

Documentation

README

Excerpt

Exploiting AI Model File RCE

When to Use

During authorized assessments of ML training/inference pipelines, model registries, artifact buckets, or model hubs
When a service downloads, loads, or "installs" models from user-controlled URLs or untrusted repositories
When auto-resume/auto-deploy pipelines load checkpoints (.ckpt, .pt, .pth, .bin) without provenance checks
When assessing web UIs like InvokeAI, TorchServe, Triton, or NeMo/HuggingFace coders that accept model files
When reviewing whether "safe" formats (.safetensors, .nemo, repo config.json) still expose instantiation gadgets

Prerequisites

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Exploiting AI Model File RCE

What else does xalgord publish alongside Exploiting AI Model File RCE?
Exploiting AI Model File RCE is one of 51 skills that DirSkills catalogs from xalgord/xalgorix, the repository it ships in. Its siblings there include AFL++ Fuzzing, AI Security Guardrails and AI-Assisted Vulnerability Discovery. Each one is a separate skill with its own page in this directory, installs the same way Exploiting AI Model File RCE does, and is maintained by xalgord in that same repository. The rest of the collection is listed on the xalgord/xalgorix page.
How does Exploiting AI Model File RCE compare to other Quality skills?
Exploiting AI Model File RCE ranks #924 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Exploiting AI Model File RCE against them. Open each page to compare what they document and how they install.