AI-Native Platform to Secure Vibecoded Applications
Project description
🛡️ SecureVibes
🌐 securevibes.ai — Website, docs & blog
AI‑Native Security for Vibecoded Apps
SecureVibes uses Claude’s multi‑agent architecture to find security issues with concrete evidence. Agents coordinate to map your architecture, model threats, review code, and generate a clear report. An optional DAST phase validates exploitability via HTTP testing using auto‑discovered skills.
🚀 Quick Start
# Install for the latest release on PyPi (might not have all the latest changes in the code)
pip install securevibes
# NOTE: the package uploaded on PyPi might not have all the latest changes.
# I will try to release a new version of the package whenever there are significant changes/developments
# If you would rather use the version with the latest changes, you can do the following:
# Install for the latest version (might be buggy)
git clone https://github.com/anshumanbh/securevibes.git
cd securevibes
virtualenv env
. env/bin/activate
pip install -e packages/core
# Authenticate (choose one method)
# Method 1: Session-based (recommended)
# You could use your Claude subscription here, if you don't want to pay per API requests
claude # Run interactive CLI, then type: /login
# Method 2: API key
export ANTHROPIC_API_KEY="your-api-key-here"
# Scan your project
securevibes scan /path/to/code --debug
# The most important part
# Sit back and relax. Please be patient as the scans might take some time, depending upon the model being used.
Get your API key from: https://console.anthropic.com/
🔐 Runtime Safety Model
SecureVibes runs scan orchestration with Claude SDK permission_mode="default".
Runtime safety depends on explicit tool surfaces and scanner hooks (including repository-boundary guardrails, PR review artifact constraints, and DAST database CLI blocking).
Operational guidance:
- Run scans only on trusted repositories.
- Prefer isolated CI runners/containers for scans.
- Avoid running scans with access to production credentials or sensitive networks.
🤖 Agents
- Assessment →
SECURITY.md - Threat Modeling (STRIDE + technology-specific skills) →
THREAT_MODEL.json - Code Review →
VULNERABILITIES.json - Report Generator →
scan_results.json - DAST (optional) →
DAST_VALIDATION.json(validates via HTTP when --target-url provided)
🤖 Agentic Detection
SecureVibes automatically detects agentic applications (LLM APIs, agent frameworks, tool execution) and requires OWASP ASI threats in threat models. Override with --agentic or --no-agentic.
🌍 Supported Languages
11 Languages: Python, JavaScript, TypeScript, Go, Ruby, Java, PHP, C#, Rust, Kotlin, Swift
Smart Features:
- Auto-detects languages in your project
- Language-aware exclusions (Python:
venv/, JS:node_modules/, Go:vendor/) - Handles mixed-language codebases intelligently
For detailed language support and exclusion rules, see the full documentation.
🎯 Common Commands
# Default: creates .securevibes/scan_report.md (markdown format)
securevibes scan .
# Export JSON for CI/CD pipeline
securevibes scan . --format json --output security-report.json
# Custom markdown report (saved to .securevibes/custom_report.md)
securevibes scan . --format markdown --output custom_report.md
# Terminal table output (no file saved)
securevibes scan . --format table
# Focus on critical/high severity
securevibes scan . --severity high
# Fast scan with cheaper model
securevibes scan . --model haiku
# Quiet mode for automation
securevibes scan . --quiet
# Run individual sub-agents
securevibes scan . --subagent assessment
securevibes scan . --subagent code-review
securevibes scan . --subagent report-generator
# DAST (optional): skill‑gated dynamic validation
securevibes scan . --subagent dast --target-url http://localhost:3000
# Validates only when a matching skill is available (e.g., IDOR)
# Writes .securevibes/DAST_VALIDATION.json; no ad‑hoc files in repo
# Agentic detection override
securevibes scan . --agentic # Force ASI threat requirement
securevibes scan . --no-agentic # ASI threats optional
# Works with any supported language:
securevibes scan /path/to/go-app # Go project
securevibes scan /path/to/ruby-app # Ruby project
securevibes scan /path/to/mixed-stack # Multi-language project
# PR review (requires prior scan artifacts in .securevibes/)
securevibes pr-review . --base main --head feature-branch
securevibes pr-review . --range abc123~1..abc123
securevibes pr-review . --diff changes.patch
# Commit tracking (requires baseline scan and scan_state.json)
securevibes pr-review . --since-last-scan
securevibes pr-review . --since 2026-02-01
securevibes pr-review . --last 10
# Update base artifacts from PR findings
securevibes pr-review . --range abc123~1..abc123 --update-artifacts
# Clean transient PR artifacts before reruns
securevibes pr-review . --range abc123~1..abc123 --clean-pr-artifacts
# PR review output formats (default: markdown)
securevibes pr-review . --base main --head feature-branch --format markdown
securevibes pr-review . --base main --head feature-branch --format json --output pr_review.json
securevibes pr-review . --base main --head feature-branch --format table
# PR review severity threshold
securevibes pr-review . --base main --head feature-branch --severity high
# Catchup: pull latest + review since last full scan
securevibes catchup . --branch main
securevibes catchup requires a clean working tree (commit, stash, or discard local changes first).
PR review runtime controls:
# Timeout per PR review attempt in seconds (default: 240)
export SECUREVIBES_PR_REVIEW_TIMEOUT_SECONDS=300
# Number of PR review attempts before giving up (default: 4)
export SECUREVIBES_PR_REVIEW_ATTEMPTS=5
PR review fails closed if diff context would be truncated
(more than 16 prioritized files or any hunk over 200 lines).
PR review also fails closed when PR_VULNERABILITIES.json is not produced after retry attempts.
Split large reviews with smaller --range, --last, or --since windows.
PR review artifacts (written to .securevibes/):
DIFF_CONTEXT.json(parsed diff summary)PR_VULNERABILITIES.json(raw findings)pr_review_report.md(default markdown report)scan_state.json(commit tracking for pr-review/catchup)
⚙️ Configuration
Models
SecureVibes uses a three-tier priority system for model selection:
Priority Hierarchy:
- 🥇 Per-agent environment variables (highest)
- 🥈 CLI
--modelflag (applies to all agents) - 🥉 Default "sonnet" (fallback)
Examples:
# All agents use haiku
securevibes scan . --model haiku
# All use haiku, except code-review uses opus
export SECUREVIBES_CODE_REVIEW_MODEL=opus
securevibes scan . --model haiku
# Fine-grained control per agent
export SECUREVIBES_ASSESSMENT_MODEL=haiku
export SECUREVIBES_CODE_REVIEW_MODEL=opus
securevibes scan . # Others use default (sonnet)
Models: haiku (fast/cheap), sonnet (balanced), opus (thorough/expensive)
Per‑Agent Overrides
Override specific agent models via environment variables:
# Authenticate first (see Quick Start above)
# Override specific agent models (overrides CLI --model flag)
export SECUREVIBES_CODE_REVIEW_MODEL="opus" # Max accuracy
export SECUREVIBES_THREAT_MODELING_MODEL="sonnet"
export SECUREVIBES_PR_CODE_REVIEW_MODEL="sonnet"
# Control analysis depth (default: 50)
export SECUREVIBES_MAX_TURNS=75 # Deeper analysis
🐍 Python API (minimal)
import asyncio
from securevibes import Scanner
async def main():
# Auth via Claude Agent SDK:
# - ANTHROPIC_API_KEY or
# - Session token from `claude` CLI (/login)
scanner = Scanner(
model="sonnet", # Use shorthand: sonnet, haiku, opus
debug=True # Show agent narration for verbose output
)
result = await scanner.scan("/path/to/repo")
print(f"Found {len(result.issues)} vulnerabilities")
print(f"Cost: ${result.total_cost_usd:.4f}")
asyncio.run(main())
📚 Full Documentation
This is a quick reference for PyPI users. For comprehensive documentation, visit:
🌐 securevibes.ai — Full website with docs & blog
Including:
- 📖 How It Works
- ✨ Features
- 📝 Blog
👤 Author
Built by @anshumanbh
🌐 securevibes.ai — Website, docs & blog
🌟 Star the repo to follow development!
🙏 Acknowledgments
- Powered by Claude by Anthropic
- Built with Claude Agent SDK
- Inspired by traditional SAST tools, reimagined with AI
License: AGPL-3.0 | Requires: Python 3.10+
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