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hefestoai-auditor

Static code analysis tool. Detects security vulnerabilities, code smells, and complexity issues across 17 languages. All analysis runs locally — no code leaves your machine.

artvepa800 source installs☆ 0 Repository starsv2.2.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

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

pip install hefesto-ai

Quick Start

hefesto analyze /path/to/project --severity HIGH
Severity Levels
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
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
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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/artvepa80/hefestoai-auditor
Version
2.2.0
Commit
45edff86a375feb403983c33cbb5ef567c8f7644
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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