Overview
- Skill Key
- artvepa80/hefestoai-auditor
- Author
- artvepa80
- Source Repo
- openclaw/skills
- Version
- 2.2.0
- Source Path
- skills/artvepa80/hefestoai-auditor
- Latest Commit SHA
- 45edff86a375feb403983c33cbb5ef567c8f7644
Static code analysis tool. Detects security vulnerabilities, code smells, and complexity issues across 17 languages. All analysis runs locally — no code leaves your machine.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 hefestoai-auditor 技能。 若已安装,则直接安装 hefestoai-auditor 技能。
# HefestoAI Auditor Static code analysis for security, quality, and complexity. Supports 17 languages. **Privacy:** All analysis runs locally. No code is transmitted to external services. No network calls are made during analysis. **Permissions:** This tool reads source files in the specified directory (read-only). It does not modify your code. --- ## Install ```bash pip install hefesto-ai ``` ## Quick Start ```bash hefesto analyze /path/to/project --severity HIGH ``` ### Severity Levels ```bash hefesto analyze /path/to/project --severity CRITICAL # Critical only hefesto analyze /path/to/project --severity HIGH # High + Critical hefesto analyze /path/to/project --severity MEDIUM # Medium + High + Critical hefesto analyze /path/to/project --severity LOW # Everything ``` ### Output Formats ```bash hefesto analyze /path/to/project --output text # Terminal (default) hefesto analyze /path/to/project --output json # Structured JSON hefesto analyze /path/to/project --output html --save-html report.html # HTML report hefesto analyze /path/to/project --quiet # Summary only ``` ### Status and Version ```bash hefesto status hefesto --version ``` --- ## What It Detects ### Security Vulnerabilities - SQL injection and command injection - Hardcoded secrets (API keys, passwords, tokens) - Insecure configurations (Dockerfiles, Terraform, YAML) - Path traversal and XSS risks ### Semantic Drift (AI Code Integrity) - Logic alterations that preserve syntax but change intent - Architectural degradation from AI-generated code - Hidden duplicates and inconsistencies in monorepos ### Code Quality - Cyclomatic complexity >10 (HIGH) or >20 (CRITICAL) - Deep nesting (>4 levels) - Long functions (>50 lines) - Code smells and anti-patterns ### DevOps Issues - Dockerfile: missing USER, no HEALTHCHECK, running as root - Shell: missing `set -euo pipefail`, unquoted variables...
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