secure-dev-ai

Security by design CLI for AI-assisted development. Scans projects for secrets, vulnerable dependencies, insecure code patterns, and missing authentication coverage. Generates AI-powered STRIDE threat models. Integrates with aahp-runner as a guard hook to block autonomous agent runs when critical security issues are detected.

Installation

npm install -g secure-dev-ai

Or run without installing:

npx secure-dev-ai scan my-project

Quick Start

# Scan a single project
secure-dev-ai scan my-project

# Scan all projects in the workspace
secure-dev-ai scan --all

# See scores at a glance
secure-dev-ai list

# Full report for one project
secure-dev-ai report my-project

Commands

scan [project]

Scan one or all projects for security issues.

secure-dev-ai scan my-project
secure-dev-ai scan --all
secure-dev-ai scan --all --update-security-md    # writes SECURITY.md to each project
secure-dev-ai scan my-project --threat-model     # include AI threat model (needs API key)
secure-dev-ai scan my-project --json             # JSON output for scripting

list

List all discovered projects with their last known security score and finding counts.

secure-dev-ai list

Output:

🔒 Security Status - 12 projects

  A  my-clean-project                     C: 0 H: 0 M: 1  today
  F  my-api                               C: 2 H: 5 M: 3  2d ago
  ?  new-project                          not yet scanned

report [project]

Show the full findings from the last scan of a project.

secure-dev-ai report my-project
secure-dev-ai report my-project --json

guard

Pre/post hook for aahp-runner agent runs. Exits 1 to block the run if critical findings are detected.

secure-dev-ai guard --project my-project --pre
secure-dev-ai guard --project my-project --post
secure-dev-ai guard --project my-project --pre --block-on HIGH

The guard command:

• Exits 0 (OK) when no blocking issues are found
• Exits 1 (BLOCKED) when findings at or above the threshold exist
• Exits 0 (fail-open) when the project cannot be found, to avoid breaking CI

threat-model [project]

Generate an AI-powered STRIDE threat model for a project. Requires an Anthropic API key. Writes the output to THREAT-MODEL.md in the project directory.

secure-dev-ai threat-model my-project

config

Set persistent configuration stored at ~/.secure-dev-ai.json.

secure-dev-ai config --api-key sk-ant-...         # set Anthropic API key
secure-dev-ai config --workspace /path/to/dev     # set workspace root
secure-dev-ai config --block-on HIGH              # tighten guard threshold
secure-dev-ai config --show                       # display current config (key masked)

Scan Modules

1. Secrets (25+ patterns)

Detects hardcoded credentials and tokens:

• Anthropic, OpenAI, GitHub (PAT, OAuth), AWS (access key + secret), Google API keys
• Stripe live and test keys, Slack tokens, SendGrid, Twilio, GitLab tokens
• NPM auth tokens, SSH/RSA private keys, JWT tokens
• Database URLs with embedded credentials
• Hardcoded passwords, API key assignments, secret assignments
• Bearer and Basic auth headers

Skips .env.example placeholders, comments, and common false-positive patterns.

2. Dependencies (npm audit)

Runs npm audit --json and maps results:

• critical -> CRITICAL
• high -> HIGH
• moderate -> MEDIUM
• low -> LOW

Includes fix availability in remediation guidance.

3. Code Patterns (13 rules)

Detects insecure coding patterns:

• SQL injection via string concatenation and template literals with user input
• XSS via dangerouslySetInnerHTML and innerHTML with variables
• eval() and new Function() usage
• Path traversal (unsanitized path.join/path.resolve with user input)
• Command injection (exec/execSync with user input)
• Prototype pollution via Object.assign
• ReDoS via nested quantifiers in dynamic RegExp
• Hardcoded localhost URLs in production code
• console.log with sensitive field names
• Security-flagged TODO/FIXME comments

4. Authentication Coverage

Checks HTTP API projects for authentication:

• Detects whether any auth middleware is present at all
• Flags POST, PUT, PATCH, DELETE routes that lack auth middleware in their context window
• Skips test files and non-server projects

5. Threat Model (AI, STRIDE)

Uses claude-haiku-4-5 to generate a concise STRIDE threat model:

• Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege
• 3-7 most relevant threats for the specific project
• Writes THREAT-MODEL.md to the project directory
• Skips gracefully if no API key is configured

Security Scoring

Scores are computed from a weighted penalty system:

Grade	Score	Criteria
A	90+	Clean or near-clean
B	75+	Minor issues, no CRITICAL/HIGH
C	60+	Some medium/high issues
D	40+	Multiple high-severity issues
F	any	Any CRITICAL finding present

Penalty weights: CRITICAL = 30, HIGH = 10, MEDIUM = 3, LOW = 1

Integrating with aahp-runner

Add guard hooks to your aahp-runner configuration to block agent runs when critical security issues are detected in the target project:

// In aahp-runner, before starting an agent run:
import { execSync } from 'child_process';

function runGuard(projectName: string, phase: 'pre' | 'post'): boolean {
  try {
    execSync(`secure-dev-ai guard --project ${projectName} --${phase}`, {
      stdio: 'inherit',
    });
    return true; // OK
  } catch {
    return false; // BLOCKED
  }
}

// Pre-run check
if (!runGuard(projectName, 'pre')) {
  console.error('Agent run blocked by secure-dev-ai guard.');
  process.exit(1);
}

Use --block-on HIGH to also block on high-severity findings, not just critical.

Reports and Output Files

• JSON reports: ~/.secure-dev-ai/reports/<project>-<date>.json
• SECURITY.md: Written to the project directory with --update-security-md
• THREAT-MODEL.md: Written to the project directory by threat-model command

Requirements

• Node.js 20 or higher
• npm (for deps scanner)
• Anthropic API key (optional, for threat-model only)

License

MIT