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firmis-scanner

Security scanner for AI agents — detect threats in MCP servers, Claude skills, Codex plugins, Cursor extensions, and 5 more platforms. 227 rules across 17 threat categories.

npm388/wk
Updated
Mar 13, 2026

Quick Install

npx -y firmis-scanner

Firmis Logo

Firmis Scanner

The security layer for AI agents

npm version CI Status License Firmis Labs

Security scanner for AI agents. Scans MCP servers, Claude skills, Codex plugins, and 6 more platforms for credential harvesting, prompt injection, tool poisoning, and 14 other threat categories. 245 detection rules. Zero config.

npx firmis-scanner scan


The Problem

7.1% of AI agent skills exhibit malicious behavior. Our research found 341 malicious skills in a sample of 100 random installs, including:

  • Credential harvesting (AWS keys, SSH keys, API tokens)
  • Data exfiltration (sending files to external servers)
  • Prompt injection (manipulating AI behavior)
  • Privilege escalation (sudo, process injection)

Static analysis catches only ~30% of these threats. The rest manifest at runtime.

Quick Start

# Install globally
npm install -g firmis-scanner

# Scan all detected AI platforms
firmis scan

# Scan specific platform
firmis scan --platform claude

# Output as JSON for CI/CD
firmis scan --json --output report.json

# Output as SARIF for GitHub Security
firmis scan --sarif --output results.sarif

What is Firmis?

Firmis is a security scanner purpose-built for AI agents. It analyzes the code of MCP servers, Claude skills, Codex plugins, and other AI agent tools BEFORE you install them — detecting credential harvesting, data exfiltration, prompt injection, tool poisoning, and 12 other threat categories.

Who is it for? Developers using AI coding assistants (Claude Code, Cursor, Codex) who install MCP servers and agent skills. Security teams evaluating AI agent deployments. CI/CD pipelines that need to gate on security.

**How is it different from mcp-scan?** Firmis scans 9 platforms (not just MCP), has 245 rules (not just config checks), and includes runtime monitoring capabilities.

Features

CapabilityCommandTier
Scan for threats (245 rules, 17 categories)firmis scanFree
Discover AI agent platformsfirmis discoverFree
Generate Agent BOM (CycloneDX)firmis bomFree
CI/CD pipeline with fail gatesfirmis ciFree
HTML/JSON/SARIF reportsfirmis scan --htmlFree

Supported Platforms

PlatformConfig LocationSupport
Claude Code Skills~/.claude/skills/Full
MCP Servers~/.config/mcp/, claude_desktop_config.jsonFull
OpenAI Codex Plugins~/.codex/plugins/Full
Cursor Extensions~/.cursor/extensions/Full
CrewAI AgentsProject crew.yaml, agents.yamlFull
AutoGPT Plugins~/.autogpt/plugins/Full
OpenClaw Skills~/.openclaw/skills/, workspace skills/Full
Nanobot Agentsnanobot.yaml, agents/*.mdFull
Supabasesupabase/migrations/, config.tomlFull

Supabase Security

Firmis auto-detects Supabase projects and scans for:

  • Row Level Security: Tables without RLS, missing policies, overly permissive USING (true) clauses
  • Storage Buckets: Public buckets, buckets without access policies
  • API Keys: service_role key in client code, .env files in git, hardcoded credentials
  • Auth Config: Email confirmation disabled, OTP expiry too long, missing SMTP
  • Functions: SECURITY DEFINER functions that bypass RLS
# Scan Supabase project
firmis scan --platform supabase

# Example output
  Firmis Scanner v1.4.1

  Detecting platforms...
  ✓ Supabase: 8 migrations found

  THREAT DETECTED
     Platform: Supabase
     Component: supabase-project
     Risk: CRITICAL
     Category: access-control

     Evidence:
       - Table 'profiles' has RLS disabled
       - Policy 'allow_all' uses USING (true)

     Location: supabase/migrations/001_profiles.sql:12

Example Output

  Firmis Scanner v1.4.1

  Detecting platforms...
  ✓ Claude Skills: 47 skills found
  ✓ MCP Servers: 12 servers configured

  Scanning 59 total components...

  ⚠️  THREAT DETECTED
     Platform: Claude Skills
     Component: data-exporter-v2
     Risk: HIGH
     Category: credential-harvesting

     Evidence:
       - Reads ~/.aws/credentials
       - Sends to: api.suspicious-domain.com

     Location: skills/data-exporter-v2/index.js:47

  SCAN COMPLETE
    57 components passed
    2 threats detected (1 HIGH, 1 MEDIUM)

CLI Reference

firmis scan [path]

Scan for security threats.

Options:
  -p, --platform <name>   Scan specific platform (claude|mcp|codex|cursor|crewai|autogpt|openclaw|nanobot|supabase)
  -a, --all               Scan all detected platforms (default)
  -j, --json              Output as JSON
  --sarif                 Output as SARIF (GitHub Security)
  --html                  Output as HTML report
  -s, --severity <level>  Minimum severity to report (low|medium|high|critical)
  -o, --output <file>     Write report to file
  -v, --verbose           Verbose output
  --concurrency <n>       Number of parallel workers (default: 4)

firmis list

List detected AI platforms.

Options:
  -j, --json              Output as JSON

firmis validate <rules...>

Validate custom rule files.

Options:
  --strict                Enable strict validation

Threat Categories

CategorySeverityDescription
credential-harvestingHIGH-CRITICALAccess to AWS, SSH, GCP, or other credentials
data-exfiltrationHIGHSending data to external servers
prompt-injectionMEDIUM-HIGHAttempting to manipulate AI behavior
privilege-escalationHIGH-CRITICALsudo, setuid, kernel modules
suspicious-behaviorLOW-MEDIUMObfuscation, anti-debugging, persistence
access-controlHIGH-CRITICALRLS misconfigurations, missing policies
insecure-configMEDIUM-HIGHAuth settings, OTP expiry, SMTP config

CI/CD Integration

GitHub Actions

name: Security Scan
on: [push, pull_request]

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '20'

      - name: Install Firmis Scanner
        run: npm install -g firmis-scanner

      - name: Run Security Scan
        run: firmis scan --sarif --output results.sarif

      - name: Upload SARIF
        uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: results.sarif

Pre-commit Hook

#!/bin/bash
# .git/hooks/pre-commit

firmis scan --severity high
if [ $? -ne 0 ]; then
  echo "Security threats detected. Commit blocked."
  exit 1
fi

Custom Rules

Create custom YAML rules for organization-specific threats:

# my-rules/internal-api.yaml
rules:
  - id: internal-001
    name: Internal API Key Exposure
    description: Detects hardcoded internal API keys
    category: credential-harvesting
    severity: critical
    version: "1.0.0"
    enabled: true
    confidenceThreshold: 90

    patterns:
      - type: regex
        pattern: "INTERNAL_[A-Z]+_KEY"
        weight: 100
        description: Internal API key pattern

    remediation: |
      Use environment variables or a secrets manager.

Run with custom rules:

firmis scan --config firmis.config.yaml
# firmis.config.yaml
customRules:
  - ./my-rules/
severity: medium

Programmatic API

import { ScanEngine, RuleEngine } from 'firmis-scanner'

const ruleEngine = new RuleEngine()
await ruleEngine.load()

const scanEngine = new ScanEngine(ruleEngine)
const result = await scanEngine.scan('./my-skills', {
  platforms: ['claude'],
  severity: 'medium',
})

console.log(`Found ${result.summary.threatsFound} threats`)

MCP Server

Firmis is available as an MCP server, allowing AI agents to scan code for security threats directly.

Claude Code / Claude Desktop

Add to your MCP settings:

{
  "mcpServers": {
    "firmis": {
      "command": "npx",
      "args": ["-y", "firmis-scanner", "--mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "firmis": {
      "command": "npx",
      "args": ["-y", "firmis-scanner", "--mcp"]
    }
  }
}

Available MCP Tools

ToolDescription
firmis_scanScan a path for AI agent security threats
firmis_discoverDiscover installed AI agent platforms
firmis_reportGenerate an HTML security report

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

# Clone the repository
git clone https://github.com/riteshkew/firmis-scanner.git
cd firmis-scanner

# Install dependencies
npm install

# Run tests
npm test

# Build
npm run build

# Run locally
npm run firmis -- scan

Performance

MetricTargetActual
50 skills scan< 30s~15s
Memory usage< 256MB~120MB
False positive rate< 5%~3%

Security

Found a security vulnerability? Please report it privately to security@firmislabs.com.

License

Apache License 2.0 - see LICENSE for details.


Built by Firmis Labs · Purpose-built security for the AI agent ecosystem

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