Using OpenClaw to Automate Security Audits

Security audits are essential but often treated as a periodic event rather than a continuous process. A team might run a security review before a major release, find a list of issues, fix the critical ones, and then go months before the next audit. In between, new vulnerabilities accumulate — outdated dependencies, exposed secrets, missing input validation, and configuration drift.

OpenClaw skills turn security auditing from a periodic event into a continuous, automated process. By teaching your AI agent to scan for common vulnerability patterns, audit dependencies, detect secrets, and check compliance requirements, you get security feedback on every commit rather than once a quarter.

OWASP Vulnerability Scanning

The OWASP Top Ten represents the most critical web application security risks. The owasp-scanner skill teaches your agent to detect these vulnerabilities in your source code.

openclaw skill install owasp-scanner

Run a scan:

openclaw scan owasp --source src/ --output reports/owasp-scan.md

The agent checks for all ten OWASP categories, including:

Injection Flaws

The agent identifies code paths where user input reaches database queries, shell commands, LDAP queries, or OS commands without proper sanitization.

// Flagged: SQL injection risk
const query = \`SELECT * FROM users WHERE id = '\${req.params.id}'\`;

// Suggested fix
const query = "SELECT * FROM users WHERE id = $1";
const result = await db.query(query, [req.params.id]);

Broken Authentication

The agent checks for weak authentication patterns:

• Session tokens in URLs instead of cookies
• Missing session expiration
• Passwords stored without proper hashing
• Missing brute force protection on login endpoints
• JWT tokens without expiration or with weak signing algorithms

Security Misconfiguration

The agent scans configuration files for common misconfigurations:

• Debug mode enabled in production configurations
• Default credentials in environment files
• CORS configured with wildcard origins
• Missing security headers (CSP, HSTS, X-Frame-Options)
• Verbose error messages that expose internal details

Example Scan Report

## OWASP Scan Report — src/

### A03:2021 Injection — 3 findings

**Critical** — src/api/search.ts:23
Raw user input in SQL query. Use parameterized queries.

**Critical** — src/api/export.ts:67
User input passed to child_process.exec(). Use
execFile() with argument array instead.

**High** — src/api/users.ts:89
NoSQL injection risk in MongoDB query construction.
Use mongoose schema validation.

### A07:2021 Identification and Authentication — 2 findings

**High** — src/auth/session.ts:12
Session tokens do not expire. Add maxAge to session
configuration.

**Medium** — src/auth/login.ts:34
No rate limiting on login endpoint. Add rate limiting
middleware.

Dependency Auditing

Third-party dependencies are one of the largest attack surfaces in modern applications. The dependency-auditor skill goes beyond simple npm audit or pip audit by providing deeper analysis and actionable remediation guidance.

openclaw skill install dependency-auditor

Run an audit:

openclaw audit dependencies --source . --output reports/dependency-audit.md

The agent evaluates:

• Known vulnerabilities — CVEs reported against your exact dependency versions
• Transitive dependencies — vulnerabilities in packages that your dependencies depend on, not just your direct dependencies
• Abandoned packages — dependencies that have not been updated in over a year and may not receive security patches
• License risks — dependencies with licenses that conflict with your project's license or your organization's policies
• Version freshness — how far behind the latest version each dependency is, with a focus on security-relevant updates

Remediation Guidance

For each finding, the agent provides actionable next steps:

## Dependency Audit Report

### Critical Vulnerabilities

1. **lodash@4.17.15** — Prototype pollution (CVE-2021-23337)
   Fix: Update to lodash@4.17.21
   Impact: Allows attackers to modify Object prototype
   Effort: Low — non-breaking update

2. **jsonwebtoken@8.5.1** — Algorithm confusion (CVE-2022-23529)
   Fix: Update to jsonwebtoken@9.0.0
   Impact: Token verification bypass
   Effort: Medium — major version with breaking changes
   Migration: Update verify() calls to pass explicit
   algorithms option

### Abandoned Dependencies

3. **request@2.88.2** — Last published 4 years ago, officially deprecated
   Fix: Migrate to undici, got, or native fetch
   Effort: High — requires rewriting HTTP client code

Secret Detection

Exposed secrets in source code are one of the most common security incidents. The secret-detector skill scans your codebase, commit history, and configuration files for accidentally committed secrets.

openclaw skill install secret-detector

Run a scan:

openclaw scan secrets --source . --include-history --output reports/secrets-scan.md

The agent detects:

• API keys — AWS access keys, Google Cloud service account keys, Stripe keys, and hundreds of other provider patterns
• Database credentials — connection strings with embedded passwords
• JWT signing secrets — hardcoded secrets used to sign tokens
• Private keys — SSH keys, TLS certificates, and PGP keys
• OAuth tokens — GitHub tokens, Slack tokens, and other OAuth credentials
• Environment file leaks — .env files that were accidentally committed

Beyond Pattern Matching

Unlike simple regex-based scanners, the OpenClaw agent understands context. It distinguishes between:

• A real AWS key and a placeholder value in documentation
• A test fixture that uses a fake token and production code that hardcodes a real one
• An environment variable reference (process.env.API_KEY) and a hardcoded value

This significantly reduces false positives, so your team focuses on real issues rather than triaging false alarms.

Historical Scanning

The --include-history flag scans your entire git history for secrets that were committed and later removed. Even if a secret was deleted in a subsequent commit, it remains in git history and can be extracted by anyone with access to the repository.

## Secrets Scan Report

### Active Secrets (in current codebase)

**Critical** — src/config/payment.ts:8
Stripe secret key: sk_live_... (partially redacted)
Action: Rotate this key immediately and move to
environment variable

### Historical Secrets (removed but in git history)

**Critical** — Commit a3f8c2d (2025-06-14)
AWS access key found in removed file .env.production
Action: Rotate the AWS key and run
git filter-branch to purge from history

Compliance Checks

Many teams need to meet specific compliance requirements — SOC 2, HIPAA, PCI DSS, GDPR, or internal security policies. The compliance-checker skill codifies these requirements into automated checks.

openclaw skill install compliance-checker

Configure your compliance requirements:

# .openclaw/compliance.yaml
standards:
  - soc2
  - gdpr

custom-rules:
  - name: encryption-at-rest
    description: All PII fields must be encrypted at rest
    check: Verify that fields marked as PII use encrypted storage

  - name: audit-logging
    description: All data mutations must be audit logged
    check: Verify that create, update, and delete operations
           write to the audit log

  - name: data-retention
    description: User data must be deletable upon request
    check: Verify that a deletion path exists for all user
           data stores

Run a compliance check:

openclaw check compliance --source src/ --config .openclaw/compliance.yaml

The agent evaluates your codebase against each requirement and produces a compliance report that maps findings to specific standards and controls.

Building a Continuous Security Pipeline

Combine all four skills into a CI pipeline that runs on every pull request:

openclaw skill install owasp-scanner
openclaw skill install dependency-auditor
openclaw skill install secret-detector
openclaw skill install compliance-checker

Add a GitHub Actions workflow:

# .github/workflows/security-audit.yml
name: Security Audit
on:
  pull_request:
  schedule:
    - cron: "0 6 * * 1"  # Weekly full scan

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: OWASP Scan
        run: openclaw scan owasp --source src/ --fail-on critical

      - name: Dependency Audit
        run: openclaw audit dependencies --fail-on high

      - name: Secret Detection
        run: openclaw scan secrets --source . --fail-on any

      - name: Compliance Check
        run: openclaw check compliance --source src/ --fail-on non-compliant
        env:
          OPENCLAW_API_KEY: ${{ secrets.OPENCLAW_API_KEY }}

This pipeline catches security issues before they reach production. The PR-triggered checks catch new issues as they are introduced, and the weekly full scan catches issues that emerge from newly disclosed vulnerabilities in existing dependencies.

Structured Reporting

For teams that need to produce security reports for auditors or management, the agent can generate structured reports in multiple formats:

openclaw report security --format pdf --period 2026-Q1 --output reports/security-q1-2026.pdf
openclaw report security --format json --output reports/security-latest.json

The report aggregates findings from all scan types, tracks remediation progress over time, and highlights trends — whether your security posture is improving or degrading.

Security is not a one-time activity. With the right OpenClaw skills, it becomes a continuous, automated part of your development workflow. Browse the skills directory to find security skills tailored to your stack and compliance requirements.

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