
sparkfinderoven-r01-security-compliance-skills
Security & compliance skill suite for OWASP scanning, CVE detection, GDPR/SOC2 audits, threat modeling, and incident response workflows
- Installs
- 729
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/reason-machines/security-skills --skill sparkfinderoven-r01-security-compliance-skills- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sparkfinderoven-r01-security-compliance-skills automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
🔒 Security & Compliance Skills Suite
Skill by ara.so — Security Skills collection.
This skill suite provides AI coding agents with expertise in security auditing, vulnerability management, compliance frameworks (GDPR/SOC2/ISO27001), and incident response. Derived from hesreallyhim/awesome-claude-code, it offers 10 specialized commands and 5 multi-step workflows with structured output.
What This Project Does
The r01-security-compliance-skills suite enables:
- OWASP Top-10 vulnerability scanning with CVSS scoring and remediation guidance
- Dependency CVE detection with exploitability analysis and upgrade paths
- Compliance auditing for GDPR, SOC 2, ISO 27001 frameworks
- Threat modeling using STRIDE methodology
- IAM least-privilege auditing for over-permissioned roles
- Secret detection with pre-commit hooks and entropy scanning
- Incident response playbooks for breach scenarios
Installation
Local Installation
# Clone to Claude Code skills directory
mkdir -p ~/.claude/skills
cd ~/.claude/skills
git clone https://github.com/sparkfinderoven/r01-hesreallyhim-awesome-claude-code-security.git
# Or copy into existing skills directory
cp -r /path/to/r01-security-compliance-skills ~/.claude/skills/
Register with Claude Code
# In a Claude Code session, load the skill:
/read ~/.claude/skills/r01-hesreallyhim-awesome-claude-code-security/SKILL.md
Verify Installation
# Check available commands
/help security
# Test with a simple scan
/owasp-scan --target ./src --dry-run
Core Commands
/owasp-scan - OWASP Top-10 Code Scanning
Scans code for OWASP Top-10 vulnerabilities with exploit descriptions and CVSS scores.
# Scan entire project
/owasp-scan .
# Scan specific directory with custom rules
/owasp-scan ./api --rules owasp-top-10-2021 --severity high
# Output JSON report
/owasp-scan ./src --output json > security-report.json
Example Output Structure:
OWASP Scan Results — ./api
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ Files scanned: 47
✓ Checks run: 14
⚠ Findings: 3 critical, 5 high, 12 medium
CRITICAL FINDINGS
┌──────┬─────────────────────────────┬──────┬──────────────┐
│ ID │ Issue │ CVSS │ Location │
├──────┼─────────────────────────────┼──────┼──────────────┤
│ A03 │ SQL Injection │ 9.8 │ api/search.js│
│ A07 │ JWT None Algorithm Accepted │ 9.1 │ auth/jwt.js │
└──────┴─────────────────────────────┴──────┴──────────────┘
REMEDIATION (Critical Priority)
• SQL Injection: Use parameterized queries
- Replace: db.query(`SELECT * FROM users WHERE id=${id}`)
- With: db.query('SELECT * FROM users WHERE id=?', [id])
/dep-cve - Dependency CVE Scanning
Analyzes dependencies for known CVEs with exploitability scores.
# Scan package.json dependencies
/dep-cve --file package.json
# Full recursive scan with dev dependencies
/dep-cve --scope full --include-dev
# Check specific package
/dep-cve --package express@4.17.1
Example Integration:
// In package.json scripts
{
"scripts": {
"security:deps": "claude-code /dep-cve --scope full --output md > SECURITY.md",
"precommit": "claude-code /dep-cve --severity critical --exit-code"
}
}
/gdpr-audit - GDPR Compliance Auditing
Maps data flows, identifies consent gaps, and generates DPA checklists.
# Full GDPR audit
/gdpr-audit --scope full
# Audit specific data category
/gdpr-audit --category personal-data --output report
# Check consent mechanisms
/gdpr-audit --focus consent --include-cookies
Configuration File (.gdpr-config.yml):
data_inventory:
- category: personal_identifiable
fields: [email, name, phone]
storage: postgresql
retention_days: 365
legal_basis: consent
- category: tracking
fields: [ip_address, user_agent, session_id]
storage: redis
retention_days: 90
legal_basis: legitimate_interest
consent_mechanisms:
- type: cookie_banner
granular: true
documented: true
processors:
- name: AWS
dpa_signed: true
location: eu-west-1
/soc2-readiness - SOC 2 Compliance Gap Analysis
Evaluates readiness across all 5 Trust Service Criteria (TSC).
# Full SOC 2 Type II assessment
/soc2-readiness --type type2
# Focus on specific criteria
/soc2-readiness --criteria security,availability
# Generate evidence requirements
/soc2-readiness --output evidence-matrix
Example Report:
SOC 2 Readiness Assessment
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Overall Score: 67% (Needs Improvement)
TRUST SERVICE CRITERIA
┌────────────────┬────────┬──────┬────────────────┐
│ Criteria │ Score │ Gaps │ Priority │
├────────────────┼────────┼──────┼────────────────┤
│ Security │ 78% │ 4 │ Medium │
│ Availability │ 45% │ 9 │ 🔴 Critical │
│ Processing │ 72% │ 3 │ Low │
│ Confidentiality│ 89% │ 1 │ Low │
│ Privacy │ 54% │ 7 │ High │
└────────────────┴────────┴──────┴────────────────┘
CRITICAL GAPS (Availability)
• No documented disaster recovery plan
• RTO/RPO not defined for production systems
• Backup restoration not tested in last 90 days
/threat-model - STRIDE Threat Modeling
Generates STRIDE-based threat models with risk matrices.
# Create threat model from architecture diagram
/threat-model --input architecture.png
# Text-based architecture description
/threat-model --architecture "Web app → API Gateway → Lambda → RDS"
# Update existing model
/threat-model --update ./docs/threat-model.md --new-component "Redis Cache"
Example Threat Model:
# Threat Model — Payment Processing System
## Architecture
User → HTTPS → Load Balancer → API Server → PostgreSQL
↓
Payment Gateway (Stripe)
## STRIDE Analysis
### Spoofing
🔴 HIGH | User authentication bypass via JWT manipulation
- Mitigation: Implement RS256 with key rotation
- Status: Open
### Tampering
🟠 MEDIUM | SQL injection in payment history endpoint
- Mitigation: Use parameterized queries + ORM
- Status: In Review
### Repudiation
🟡 LOW | Insufficient audit logging on failed payments
- Mitigation: Log all payment attempts with user context
- Status: Planned
### Information Disclosure
🔴 HIGH | Credit card data in application logs
- Mitigation: PCI-DSS compliant logging, tokenization
- Status: Open
### Denial of Service
🟠 MEDIUM | No rate limiting on payment API
- Mitigation: Implement rate limiting (10 req/min per user)
- Status: In Progress
### Elevation of Privilege
🟡 LOW | Admin role has excessive database permissions
- Mitigation: Principle of least privilege review
- Status: Planned
/secret-detect - Secret Detection Configuration
Configures pre-commit hooks for secret scanning with entropy analysis.
# Initialize secret detection
/secret-detect --init
# Scan existing codebase
/secret-detect --scan-history
# Configure custom patterns
/secret-detect --add-pattern "CUSTOM_API_KEY_[A-Za-z0-9]{32}"
Generated Pre-commit Hook (.git/hooks/pre-commit):
#!/bin/bash
# Auto-generated by /secret-detect
echo "Running secret detection..."
# High-entropy string detection
git diff --cached --name-only | xargs -I {} sh -c '
if grep -E "[A-Za-z0-9+/]{40,}" {} > /dev/null 2>&1; then
echo "⚠️ High-entropy string detected in: {}"
echo " This may be a secret. Review before committing."
exit 1
fi
'
# Known secret patterns
PATTERNS=(
"AKIA[0-9A-Z]{16}" # AWS Access Key
"sk_live_[0-9a-zA-Z]{24}" # Stripe Live Key
"ghp_[0-9a-zA-Z]{36}" # GitHub Personal Access Token
"xox[baprs]-[0-9a-zA-Z]{10,48}" # Slack Token
"-----BEGIN (RSA|OPENSSH) PRIVATE KEY" # Private Keys
)
for pattern in "${PATTERNS[@]}"; do
if git diff --cached | grep -E "$pattern" > /dev/null 2>&1; then
echo "🔴 SECRET DETECTED: Pattern '$pattern'"
echo " Remove secret and use environment variables instead."
exit 1
fi
done
echo "✓ No secrets detected"
/iam-audit - IAM Least-Privilege Auditing
Audits IAM roles for over-permissions, stale access, and MFA gaps.
# Full IAM audit
/iam-audit
# Audit specific AWS account
/iam-audit --provider aws --account-id 123456789012
# Check for unused permissions
/iam-audit --focus unused-permissions --days 90
Example Output:
IAM Audit Results
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
OVER-PERMISSIONED ROLES
┌────────────────┬──────────────┬────────────────┐
│ Role │ Risk Level │ Issue │
├────────────────┼──────────────┼────────────────┤
│ dev-full-access│ 🔴 Critical │ Admin wildcard │
│ lambda-exec │ 🟠 High │ s3:* on all │
│ ec2-instance │ 🟡 Medium │ Unused RDS │
└────────────────┴──────────────┴────────────────┘
STALE ACCESS (90+ days inactive)
• user@example.com — Last login: 147 days ago
• service-account-old — Last used: 203 days ago
MFA GAPS
• 3 admin users without MFA enabled
• 12 privileged roles without MFA requirement
RECOMMENDATIONS
1. Replace dev-full-access with scoped policies
2. Remove s3:* from lambda-exec, grant specific bucket access
3. Deprovision stale accounts within 7 days
4. Enforce MFA for all admin and privileged access
/incident-playbook - Security Incident Response
Generates structured incident response playbooks.
# Create playbook for incident type
/incident-playbook --type data-breach
# Interactive incident response
/incident-playbook --interactive --severity critical
# Load existing incident
/incident-playbook --load INC-2024-001
Example Playbook:
# Security Incident Playbook — Data Breach
## 1. TRIAGE (0-15 minutes)
### Immediate Actions
- [ ] Activate incident response team
- [ ] Establish secure communication channel
- [ ] Document initial discovery and scope
- [ ] Assign incident commander
### Initial Assessment
- [ ] Identify affected systems
- [ ] Estimate number of records exposed
- [ ] Classify data sensitivity (PII, PCI, PHI, etc.)
- [ ] Determine if breach is ongoing
## 2. CONTAIN (15-60 minutes)
### Stop Active Breach
- [ ] Isolate compromised systems from network
- [ ] Rotate all credentials with access to affected systems
- [ ] Block suspicious IP addresses at firewall
- [ ] Disable compromised user accounts
### Preserve Evidence
- [ ] Take disk snapshots of affected systems
- [ ] Collect network logs and traffic captures
- [ ] Document all actions with timestamps
- [ ] Maintain chain of custody
## 3. ERADICATE (1-4 hours)
### Remove Threat
- [ ] Identify root cause and attack vector
- [ ] Patch exploited vulnerabilities
- [ ] Remove malware/backdoors
- [ ] Rebuild compromised systems from clean images
### Verify Clean State
- [ ] Run full security scans
- [ ] Check for persistence mechanisms
- [ ] Review user accounts for unauthorized access
- [ ] Audit configuration changes
## 4. RECOVER (4-24 hours)
### Restore Operations
- [ ] Bring systems back online in controlled manner
- [ ] Monitor for signs of reinfection
- [ ] Restore data from clean backups if needed
- [ ] Update security controls based on lessons learned
### Communication
- [ ] Notify affected users within 72 hours (GDPR)
- [ ] File breach notification with regulators
- [ ] Coordinate with legal and PR teams
- [ ] Prepare public statement if required
## 5. LESSONS LEARNED (1-2 weeks post-incident)
### Post-Mortem
- [ ] Conduct blameless post-mortem
- [ ] Document timeline and decisions
- [ ] Identify preventive measures
- [ ] Update incident response plan
- [ ] Schedule security training
### Metrics
- Detection time: ___
- Containment time: ___
- Recovery time: ___
- Records affected: ___
- Estimated cost: ___
/pentest-report - Penetration Test Reporting
Structures penetration test findings into executive and technical reports.
# Generate report from findings
/pentest-report --input findings.json
# Create executive summary
/pentest-report --type executive --audience board
# Technical deep-dive
/pentest-report --type technical --include-exploits
/privacy-policy - Privacy Policy Generator
Generates GDPR/CCPA-compliant privacy policies from data inventory.
# Generate from data inventory
/privacy-policy --input data-inventory.yml
# Update existing policy
/privacy-policy --update privacy.md --add-processor "SendGrid"
# Multi-jurisdiction support
/privacy-policy --jurisdictions eu,us-ca,uk
Multi-Step Workflows
secure-sdlc - Secure Software Development Lifecycle
End-to-end security workflow from threat modeling to sign-off.
# Run full secure SDLC workflow
/workflows:secure-sdlc --target ./my-app
# Run specific stages
/workflows:secure-sdlc --stages "threat-model,code-scan"
Workflow Steps:
- Threat modeling (STRIDE analysis)
- Static code analysis (OWASP scan)
- Dependency vulnerability scan
- Dynamic application security testing (DAST)
- Penetration testing
- Security sign-off checklist
breach-response - Data Breach Response
Orchestrated breach response workflow.
# Initiate breach response
/workflows:breach-response --severity critical
# Continue from checkpoint
/workflows:breach-response --resume-from contain
compliance-audit - Full Compliance Audit
Multi-framework compliance assessment.
# Run compliance audit
/workflows:compliance-audit --frameworks gdpr,soc2,iso27001
# Specific scope
/workflows:compliance-audit --scope "user data processing"
zero-trust-design - Zero Trust Architecture
Designs zero-trust architecture across identity, network, workload, and data layers.
# Design zero-trust architecture
/workflows:zero-trust-design --current-architecture aws-vpc.yml
vendor-security - Third-Party Security Assessment
Assesses vendor security posture with standardized questionnaire.
# Assess new vendor
/workflows:vendor-security --vendor "Acme SaaS Inc"
# Automated risk scoring
/workflows:vendor-security --questionnaire responses.json --auto-score
Configuration
Global Config (.security-skills-config.yml)
# Place in project root or ~/.config/security-skills/
# Default severity thresholds
severity:
block_on: critical
warn_on: high
report_all: true
# Output preferences
output:
format: table # table, json, markdown
color: true
verbose: false
# Integration settings
integrations:
jira:
enabled: true
url: ${JIRA_URL}
api_token: ${JIRA_API_TOKEN}
project_key: SEC
slack:
enabled: true
webhook_url: ${SLACK_WEBHOOK_URL}
channel: "#security-alerts"
github:
enabled: true
token: ${GITHUB_TOKEN}
create_issues: true
# Custom rules
custom_rules:
- id: custom-001
name: "Internal API Key Pattern"
pattern: "INTERNAL_[A-Z0-9]{24}"
severity: high
# Compliance frameworks
compliance:
primary: gdpr
secondary: [soc2, iso27001]
audit_schedule: quarterly
Environment Variables
# Required for integrations
export JIRA_URL="https://your-org.atlassian.net"
export JIRA_API_TOKEN="your-token-here"
export SLACK_WEBHOOK_URL="https://hooks.slack.com/services/xxx"
export GITHUB_TOKEN="ghp_xxxxxxxxxxxx"
# Optional - provider-specific
export AWS_PROFILE="security-audit"
export AZURE_SUBSCRIPTION_ID="xxxxx"
export GCP_PROJECT_ID="your-project"
Common Patterns
CI/CD Integration
GitHub Actions (.github/workflows/security.yml):
name: Security Checks
on: [push, pull_request]
jobs:
security-scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Install Security Skills
run: |
mkdir -p ~/.claude/skills
cp -r ./.security-skills ~/.claude/skills/
- name: OWASP Scan
run: |
claude-code /owasp-scan . --output json > owasp-report.json
- name: Dependency CVE Scan
run: |
claude-code /dep-cve --scope full --severity critical --exit-code
- name: Secret Detection
run: |
claude-code /secret-detect --scan-history
- name: Upload Reports
uses: actions/upload-artifact@v3
with:
name: security-reports
path: |
owasp-report.json
SECURITY.md
Pre-commit Hook Integration
# .git/hooks/pre-commit
#!/bin/bash
echo "🔒 Running security checks..."
# Secret detection
if ! claude-code /secret-detect --staged-only; then
echo "❌ Secret detection failed"
exit 1
fi
# Quick OWASP scan on changed files
CHANGED_FILES=$(git diff --cached --name-only --diff-filter=ACM | grep -E '\.(js|py|java|go)$')
if [ -n "$CHANGED_FILES" ]; then
if ! claude-code /owasp-scan $CHANGED_FILES --fast; then
echo "❌ Security scan found critical issues"
exit 1
fi
fi
echo "✅ Security checks passed"
Automated Compliance Reporting
# scripts/weekly-compliance-report.py
import subprocess
import json
from datetime import datetime
def run_compliance_scan():
"""Run compliance audit and send report"""
# Run GDPR audit
gdpr_result = subprocess.run(
["claude-code", "/gdpr-audit", "--output", "json"],
capture_output=True,
text=True
)
# Run SOC 2 readiness
soc2_result = subprocess.run(
["claude-code", "/soc2-readiness", "--output", "json"],
capture_output=True,
text=True
)
# Parse results
gdpr_data = json.loads(gdpr_result.stdout)
soc2_data = json.loads(soc2_result.stdout)
# Generate summary
report = f"""
Compliance Report — {datetime.now().strftime('%Y-%m-%d')}
GDPR Status: {gdpr_data['overall_compliance']}%
Critical Gaps: {gdpr_data['critical_gaps_count']}
SOC 2 Readiness: {soc2_data['overall_score']}%
TSC Failures: {soc2_data['tsc_failures']}
Action Required: {gdpr_data['critical_gaps_count'] + soc2_data['critical_gaps_count']} items
"""
# Send to Slack
subprocess.run([
"curl", "-X", "POST",
"-H", "Content-Type: application/json",
"-d", json.dumps({"text": report}),
os.environ["SLACK_WEBHOOK_URL"]
])
if __name__ == "__main__":
run_compliance_scan()
Incident Response Automation
#!/bin/bash
# scripts/incident-response.sh
SEVERITY=$1
INCIDENT_TYPE=$2
if [ -z "$SEVERITY" ] || [ -z "$INCIDENT_TYPE" ]; then
echo "Usage: ./incident-response.sh <critical|high|medium> <data-breach|ransomware|ddos>"
exit 1
fi
# Create incident directory
INCIDENT_ID="INC-$(date +%Y%m%d-%H%M%S)"
mkdir -p "incidents/$INCIDENT_ID"
# Generate playbook
claude-code /incident-playbook \
--type "$INCIDENT_TYPE" \
--severity "$SEVERITY" \
--output "incidents/$INCIDENT_ID/playbook.md"
# Run IAM audit
claude-code /iam-audit \
--output json > "incidents/$INCIDENT_ID/iam-audit.json"
# Capture current state
echo "Capturing system state..."
claude-code /threat-model \
--current-state \
--output "incidents/$INCIDENT_ID/current-threat-model.md"
# Create Jira ticket
if [ -n "$JIRA_API_TOKEN" ]; then
ISSUE_KEY=$(claude-code /integrations:jira:create-incident \
--incident-id "$INCIDENT_ID" \
--severity "$SEVERITY" \
--type "$INCIDENT_TYPE")
echo "Jira Issue Created: $ISSUE_KEY"
fi
# Notify team
echo "🚨 Security Incident: $INCIDENT_ID" | \
claude-code /integrations:slack:notify \
--channel security-incidents \
--attach "incidents/$INCIDENT_ID/playbook.md"
echo "Incident $INCIDENT_ID initialized. Follow playbook at incidents/$INCIDENT_ID/playbook.md"
Troubleshooting
Command Not Found
# Verify installation
ls -la ~/.claude/skills/
# Reload skill in Claude Code session
/read ~/.claude/skills/r01-hesreallyhim-awesome-claude-code-security/SKILL.md
# Check Claude Code version (requires 0.8.0+)
claude-code --version
False Positives in Scans
# Create .security-ignore.yml in project root
ignore_patterns:
- pattern: "test/fixtures/**"
reason: "Test data, not production code"
- pattern: "docs/examples/**"
reason: "Documentation examples"
- finding_id: "OWASP-A03-SQL-001"
file: "src/legacy/report-builder.js"
reason: "Acknowledged risk - scheduled for refactor Q3"
expires: "2024-09-30"
Integration Issues
# Test Jira connection
claude-code /integrations:test --service jira
# Verify environment variables
env | grep -E '(JIRA|SLACK|GITHUB)'
# Debug mode
claude-code /owasp-scan . --debug --verbose
Performance Optimization
# For large codebases, use incremental scanning
claude-code /owasp-scan --incremental --cache-results
# Parallel scanning
claude-code /dep-cve --parallel --workers 4
# Exclude directories
claude-code /owasp-scan . --exclude node_modules,vendor,dist
Custom Rule Not Triggering
# Validate custom rule syntax
custom_rules:
- id: custom-api-key
name: "Custom API Key Detection"
pattern: "API_KEY_[A-Z0-9]{32}" # Must be valid regex
severity: high
file_types: [".js", ".py", ".env"] # Limit to specific extensions
enabled: true # Explicitly enable
# Test custom rule
claude-code /secret-detect --test-rule custom-api-key --sample "API_KEY_ABC123XYZ789012345678901234567"
Report Generation Failures
# Ensure output directory exists
mkdir -p reports/
# Check disk space
df -h
# Use streaming output for large reports
claude-code /owasp-scan . --output json --stream > reports/scan-$(date +%Y%m%d).json
# Compress old reports
find reports/ -name "*.json" -mtime +30 -exec gzip {} \;
Advanced Usage
Programmatic Access
# Python wrapper for security-skills commands
import subprocess
import json
class SecuritySkills:
def __init__(self, config_path=None):
self.config = config_path
def owasp_scan(self, target, severity="high"):
result = subprocess.run(
["claude-code", "/owasp-scan", target,
"--severity", severity, "--output", "json"],
capture_output=True,
text=True
)
return json.loads(result.stdout)
def dep_cve(self, scope="full"):
result = subprocess.run(
["claude-code", "/dep-cve",
"--scope", scope, "--output", "json"],
capture_output=True,
text=True
)
return json.loads(result.stdout)
def create_incident(self, incident_type, severity):
result = subprocess.run(
["claude-code", "/incident-playbook",
"--type", incident_type,
"--severity", severity,
"--output", "json"],
capture_output=True,
text=True
)
return json.loads(result.stdout)
# Usage
skills = SecuritySkills()
scan_results = skills.owasp_scan("./src", severity="critical")
if scan_results["critical_count"] > 0:
skills.create_incident("vulnerability-detected", "high")
Custom Workflow Orchestration
# workflows/custom-audit.yml
name: Custom Security Audit
description: Organization-specific security workflow
steps:
- name: Pre-audit Setup
command: /iam-audit
store_output: iam_results
- name: Code Security
parallel:
- command: /owasp-scan
args: [--target, ./src]
- command: /dep-cve
args: [--scope, full]
- command: /secret-detect
args: [--scan-history]
- name: Compliance Check
command: /gdpr-audit
condition: ${iam_results.high_risk_count} > 0
- name: Generate Report
command: /pentest-report
inputs:
- ${STEP_1_OUTPUT}
- ${STEP_2_OUTPUT}
- ${STEP_3_OUTPUT}
- name: Notify Team
command: /integrations:slack:notify
args:
- --channel
- security-team
- --attach
- ${STEP_4_OUTPUT}
# Run custom workflow
claude-code /workflows:run workflows/custom-audit.yml
Resources
- Source Project: hesreallyhim/awesome-claude-code
- Documentation: Project README and command help (
/help <command>) - Issue Tracker: GitHub Issues for bug reports and feature requests
- Community: Discussions tab for questions and best practices
License
MIT License - Free to use, modify, and distribute.
FAQ
What does the sparkfinderoven-r01-security-compliance-skills skill do?
Security & compliance skill suite for OWASP scanning, CVE detection, GDPR/SOC2 audits, threat modeling, and incident response workflows
How do I install sparkfinderoven-r01-security-compliance-skills?
Run npx skills add https://github.com/reason-machines/security-skills --skill sparkfinderoven-r01-security-compliance-skills in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sparkfinderoven-r01-security-compliance-skills/ (personal) or .claude/skills/sparkfinderoven-r01-security-compliance-skills/ (project).
Which AI agents can use sparkfinderoven-r01-security-compliance-skills?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sparkfinderoven-r01-security-compliance-skills safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sparkfinderoven-r01-security-compliance-skills?
It is published by reason-machines in reason-machines/security-skills. It has 729 recorded installs.
More from reason-machines/security-skills
anthropic-cybersecurity-skills
reason-machines/security-skills
Use 754 structured cybersecurity skills mapped to MITRE ATT&CK, NIST CSF, ATLAS, D3FEND, and NIST AI RMF for AI-driven security operations
pentest-ai-agents
reason-machines/security-skills
Claude Code subagents for offensive security research, penetration testing planning, recon analysis, exploit research, detection engineering, and security reporting
pentest-agents-bug-bounty-framework
reason-machines/security-skills
Autonomous bug bounty agent framework with 50 agents, hunt loops, exploit chains, MCP servers for platform integration and writeup search
openosint-ai-osint-framework
reason-machines/security-skills
AI-powered OSINT agent with interactive REPL, MCP server, and CLI for email/username/domain/IP/phone investigation using 11 integrated tools
vibe-security-skill
reason-machines/security-skills
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
openclaw-security-hardening
reason-machines/security-skills
Deploy and manage security hardening for high-privilege autonomous AI agents (OpenClaw) using zero-trust architecture and automated defense matrices
Popular security skills
azure-compliance
microsoft/azure-skills
Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.
minimal-run-and-audit
lllllllama/rigorpilot-skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized reprooutputs/ files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
seo-audit
coreyhaines31/marketingskills
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," "indexing issues," "stuck on page 2," "striking distance keywords," "title tag rewrite," "low CTR," "local SEO," "Google Business Profile," or "map pack." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo.
firebase-security-rules-auditor
firebase/agent-skills
Audits Firebase (Firestore, Cloud Storage) security rules for vulnerabilities, privilege escalation, role bypasses, create vs update inconsistencies, resource exhaustion, type safety, size limits, and hasOnly ownership checks. Use when auditing/reviewing rules, running red-team rule assessments, or scoring against auditor checklists. Don't use for Firebase CLI (login, deploy), Auth, Crashlytics, Remote Config, or database queries.
audit
pbakaus/impeccable
Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.
competitors
coreyhaines31/marketingskills
When the user wants to create competitor comparison or alternative pages for SEO and buyer-facing use. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'competitor teardown,' 'audit our competitor pages,' 'are our comparison pages out of date,' or 'competitive asset audit.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For auditing existing claims (not researching competitors from scratch, which is competitor-profiling; not technical SEO on these pages, which is seo-audit), use the asset audit here. For internal battle cards and sales-specific competitor docs, see sales-enablement.