Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
Star History
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+486
STARS · LAST 30 DAYS
16
PER DAY
#114
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +112 | +486 | +1.4K |
| Per day | 16 | 16 | 16 |
| Forks gained | +9 | +34 | +85 |
SkillSpector gained 486 stars in the last 30 days, about 16 a day, and now has 19.4K. It is about 1 year old and has averaged roughly 19.4K stars a year. It ranks #114 among Python repositories and #630 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#2969
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
SkillSpector has maintained a continuous presence across global trending indexes, peaking at #2969. Below is the 30-day activity profile:
💡 Overview
SkillSpector is an open-source project written in Python: Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-security, agent-skills, agentic-ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install SkillSpector⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
SkillSpector coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with SkillSpector.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install SkillSpector using your package manager: `pip install SkillSpector`
Initialize your project workspace or configuration file for SkillSpector.
Import SkillSpector into your codebase or invoke it directly from your terminal.
Execute your test suite or run `SkillSpector --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NVIDIA/SkillSpector is currently ranked #630 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #625 | rocksdanister/lively | C# | ★ 19.7K | Compare ↗ |
| #626 | githubnext/monaspace | Shell | ★ 19.7K | Compare ↗ |
| #627 | testing-library/react-testing-library | JavaScript | ★ 19.7K | Compare ↗ |
| #628 | huggingface/trl | Python | ★ 19.4K | Compare ↗ |
| #629 | firecrawl/pdf-inspector | Rust | ★ 19.4K | Compare ↗ |
| #630 | NVIDIA/SkillSpector This Project | Python | ★ 19.4K | |
| #631 | joke2k/faker | Python | ★ 19.4K | Compare ↗ |
| #632 | golangci/golangci-lint | Go | ★ 19.4K | Compare ↗ |
| #633 | JetBrains/compose-multiplatform | Kotlin | ★ 19.4K | Compare ↗ |
| #634 | fruitcake/laravel-debugbar | PHP | ★ 19.3K | Compare ↗ |
| #635 | mountain-loop/yaak | TypeScript | ★ 19.3K | Compare ↗ |
Frequently Asked Questions
What does SkillSpector do? +
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
What language is SkillSpector written in? +
The primary language is Python. Topics include: agent-security, agent-skills, agentic-ai, ai-security, claude-code.
Is SkillSpector actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 134 open issues being tracked.
How many stars does SkillSpector have? +
SkillSpector has 19,426 stars and 1,703 forks on GitHub.
How does SkillSpector rank among GitHub repositories? +
With 19,426 stars, NVIDIA/SkillSpector is ranked #630 globally across all repositories tracked on GitHubRepo and #114 among Python projects.
What license is SkillSpector distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
