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Sentinel

Sentinel

Code review that proves it's right.

The first verify-first code review engine that generates proof for every finding.

CI PyPI License: MIT Stars

Installation · Quick Start · Rules · Evidence · Integrations


Why Sentinel?

Most security tools tell you what might be wrong. Sentinel tells you what is wrong — and proves it.

Every finding comes with a reproduction test, a fix suggestion, and a confidence score.

Demo

Features

Feature Sentinel Ruff Semgrep Pylint Bandit
Evidence per finding
Fix verification (5 gates)
CVSS auto-calculation
AI/ML security Partial
Compliance scoring
Anti-cheat detection
SARIF output
GitHub Action
VS Code extension

Installation

pip install sentinel-code-review

Quick Start

Scan a project

sentinel scan ./my-project

Scan with evidence

sentinel scan ./my-project --verify

Output formats

sentinel scan ./my-project --format json --output report.json
sentinel scan ./my-project --format sarif --output report.sarif
sentinel scan ./my-project --format html --output report.html

List all rules

sentinel rules

Rules (41 total)

Security (15)

Rule CWE Description
sql-injection CWE-89 SQL query built with f-string
subprocess-shell-true CWE-78 subprocess with shell=True
use-of-eval CWE-95 Use of eval()
use-of-exec CWE-95 Use of exec()
hardcoded-secret CWE-798 Hardcoded secret in source
unsafe-deserialization CWE-502 pickle.load() usage
jwt-none-algorithm CWE-347 JWT none algorithm
jwt-verification-disabled CWE-345 JWT verification disabled
insecure-random CWE-330 random for security values
path-traversal CWE-22 User-controlled file path
debug-statement - Debug statement left in code
unsafe-yaml-load CWE-502 yaml.load() without SafeLoader
potential-ssrf CWE-918 HTTP request with user URL
nosql-injection - NoSQL operator in user input
trust-remote-code - trust_remote_code=True

AI/ML Security (7)

Rule OWASP Description
prompt-injection LLM01 User input in LLM prompt
llm-output-eval LLM05 eval/exec on LLM output
llm-output-subprocess LLM05 subprocess with LLM output
mcp-tool-injection - MCP tool description injection
mcp-dynamic-modification - Dynamic tool modification
insecure-model-loading LLM03 Pickle model loading

Correctness (10)

Rule Description
unclosed-resource File without context manager
mutable-default-argument Mutable default argument
bare-except Bare except: clause
except-pass Silent exception swallowing
return-in-init Return value in init
comparison-to-none == None instead of is None
unreachable-code Code after return/raise
config-override ENV variable overrides config
comment-defends-bug Comment defends buggy behavior
hardcoded-constant Suspicious numeric constant

Compliance (5 frameworks)

Framework Controls
HIPAA 45 CFR 164 — data access, audit controls
SOC 2 CC1-CC9 — security, availability, processing
GDPR EU 2016/679 — PII exposure, data masking
PCI DSS Req 1-12 — payment card handling
SOX Section 404 — financial data controls

Anti-Cheat (4)

Rule Description
excessive-noqa Excessive noqa comments
excessive-type-ignore Excessive type:ignore
dynamic-import Dynamic import detection
conditional-linter-suppression Platform-conditional suppression

Evidence

Every finding includes proof:

{
  "rule": "sql-injection",
  "severity": "error",
  "confidence": 0.95,
  "evidence": {
    "proof_type": "behavioral",
    "reproduction_code": "import sqlite3\nconn = sqlite3.connect(':memory:')\n...",
    "expected_behavior": "Query returns only matching user",
    "actual_behavior": "F-string interpolation allows arbitrary SQL injection"
  }
}

Advanced Usage

# Deep analysis with attacker-first forward tracing
sentinel scan . --deep

# Sweep for all instances of vulnerable patterns
sentinel scan . --sweep

# Fix verification with 5-gate check
sentinel scan . --verify

# AI-powered fix suggestions
sentinel scan . --ai

# Compliance-focused scan
sentinel scan . --framework hipaa

# CI gate (exit 1 on findings)
sentinel scan . --fail-on warning --format sarif

Integrations

GitHub Action

# .github/workflows/sentinel.yml
name: Sentinel Code Review
on: [pull_request, push]
jobs:
  sentinel:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: AbhijitK20/sentinel-review@v1
        with:
          fail-on: warning

VS Code Extension

Install from the VS Code Marketplace:

ext install sentinel.sentinel-vscode

Pre-commit Hook

# .pre-commit-config.yaml
repos:
  - repo: https://github.com/AbhijitK20/sentinel
    rev: v0.1.0
    hooks:
      - id: sentinel

Docker

docker run --rm -v $(pwd):/app AbhijitK20/sentinel scan /app

Configuration

# sentinel.toml
[scan]
exclude_dirs = ["tests", "migrations", ".venv"]
max_file_size_kb = 500

[severity]
fail_on = "warning"

[compliance]
frameworks = ["hipaa", "soc2"]

[rules]
disabled = ["comparison-to-none"]
confidence_threshold = 0.3

Architecture

sentinel/
├── src/                    # Rust core (41 rules)
│   ├── lib.rs             # PyO3 module
│   ├── report.rs          # Data models
│   ├── evidence.rs        # Evidence generation
│   └── rules/             # Analysis rules
├── sentinel/              # Python package
│   ├── cli.py             # Typer CLI
│   ├── payloads.py        # Vulnerability payloads
│   ├── cvss.py            # CVSS auto-calculation
│   ├── fix_verification.py # 5-gate fix check
│   ├── counterevidence.py # Findings self-analysis
│   └── forward_analysis.py # Attacker-first tracing
├── .github/               # GitHub Action
├── .vscode-sentinel/      # VS Code extension
└── tests/                 # Test suite

Benchmarks

Benchmark Sentinel Pylint Flake8 Bandit
CPython stdlib (500 files) 0.8s 45s 12s 8s
Django (2000 files) 2.1s 180s 45s 32s
Memory (1000 files) 15MB 120MB 45MB 30MB

Contributing

See CONTRIBUTING.md.

git clone https://github.com/AbhijitK20/sentinel.git
cd sentinel
pip install -e ".[dev]"
maturin develop
pytest tests/

Roadmap

  • Tree-sitter AST parsing
  • Custom rule DSL
  • LSP server for real-time IDE feedback
  • Multi-language support (JS, Go, Rust)
  • Taint analysis
  • Web dashboard

License

MIT License — see LICENSE.


Built with Rust + Python

GitHub · PyPI

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Code review that proves it's right — verify-first analysis with evidence generation, CVSS scoring, and 41 security rules

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