Awesome-omni-skills cc-skill-security-review
Security Review Skill workflow skill. Use this skill when the user needs This skill ensures all code follows security best practices and identifies potential vulnerabilities. Use when implementing authentication or authorization, handling user input or file uploads, or creating new API endpoints and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
git clone https://github.com/diegosouzapw/awesome-omni-skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/cc-skill-security-review" ~/.claude/skills/diegosouzapw-awesome-omni-skills-cc-skill-security-review && rm -rf "$T"
skills/cc-skill-security-review/SKILL.mdSecurity Review Skill
Overview
This public intake copy packages
plugins/antigravity-awesome-skills-claude/skills/cc-skill-security-review from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses
metadata.json plus ORIGIN.md as the provenance anchor for review.
Security Review Skill This skill ensures all code follows security best practices and identifies potential vulnerabilities.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Security Checklist, Security Testing, Pre-Deployment Security Checklist, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
- Implementing authentication or authorization
- Handling user input or file uploads
- Creating new API endpoints
- Working with secrets or credentials
- Implementing payment features
- Storing or transmitting sensitive data
Operating Table
| Situation | Start here | Why it matters |
|---|---|---|
| First-time use | | Confirms repository, branch, commit, and imported path before touching the copied workflow |
| Provenance review | | Gives reviewers a plain-language audit trail for the imported source |
| Workflow execution | | Starts with the smallest copied file that materially changes execution |
| Supporting context | | Adds the next most relevant copied source file without loading the entire package |
| Handoff decision | | Helps the operator switch to a stronger native skill when the task drifts |
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
- Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
- Read the overview and provenance files before loading any copied upstream support files.
- Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
- Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
- Validate the result against the upstream expectations and the evidence you can point to in the copied files.
- Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
- Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.
Imported Workflow Notes
Imported: Security Checklist
1. Secrets Management
❌ NEVER Do This
const apiKey = "sk-proj-xxxxx" // Hardcoded secret const dbPassword = "password123" // In source code
✅ ALWAYS Do This
const apiKey = process.env.OPENAI_API_KEY const dbUrl = process.env.DATABASE_URL // Verify secrets exist if (!apiKey) { throw new Error('OPENAI_API_KEY not configured') }
Verification Steps
- No hardcoded API keys, tokens, or passwords
- All secrets in environment variables
-
in .gitignore.env.local - No secrets in git history
- Production secrets in hosting platform (Vercel, Railway)
2. Input Validation
Always Validate User Input
import { z } from 'zod' // Define validation schema const CreateUserSchema = z.object({ email: z.string().email(), name: z.string().min(1).max(100), age: z.number().int().min(0).max(150) }) // Validate before processing export async function createUser(input: unknown) { try { const validated = CreateUserSchema.parse(input) return await db.users.create(validated) } catch (error) { if (error instanceof z.ZodError) { return { success: false, errors: error.errors } } throw error } }
File Upload Validation
function validateFileUpload(file: File) { // Size check (5MB max) const maxSize = 5 * 1024 * 1024 if (file.size > maxSize) { throw new Error('File too large (max 5MB)') } // Type check const allowedTypes = ['image/jpeg', 'image/png', 'image/gif'] if (!allowedTypes.includes(file.type)) { throw new Error('Invalid file type') } // Extension check const allowedExtensions = ['.jpg', '.jpeg', '.png', '.gif'] const extension = file.name.toLowerCase().match(/\.[^.]+$/)?.[0] if (!extension || !allowedExtensions.includes(extension)) { throw new Error('Invalid file extension') } return true }
Verification Steps
- All user inputs validated with schemas
- File uploads restricted (size, type, extension)
- No direct use of user input in queries
- Whitelist validation (not blacklist)
- Error messages don't leak sensitive info
3. SQL Injection Prevention
❌ NEVER Concatenate SQL
// DANGEROUS - SQL Injection vulnerability const query = `SELECT * FROM users WHERE email = '${userEmail}'` await db.query(query)
✅ ALWAYS Use Parameterized Queries
// Safe - parameterized query const { data } = await supabase .from('users') .select('*') .eq('email', userEmail) // Or with raw SQL await db.query( 'SELECT * FROM users WHERE email = $1', [userEmail] )
Verification Steps
- All database queries use parameterized queries
- No string concatenation in SQL
- ORM/query builder used correctly
- Supabase queries properly sanitized
4. Authentication & Authorization
JWT Token Handling
// ❌ WRONG: localStorage (vulnerable to XSS) localStorage.setItem('token', token) // ✅ CORRECT: httpOnly cookies res.setHeader('Set-Cookie', `token=${token}; HttpOnly; Secure; SameSite=Strict; Max-Age=3600`)
Authorization Checks
export async function deleteUser(userId: string, requesterId: string) { // ALWAYS verify authorization first const requester = await db.users.findUnique({ where: { id: requesterId } }) if (requester.role !== 'admin') { return NextResponse.json( { error: 'Unauthorized' }, { status: 403 } ) } // Proceed with deletion await db.users.delete({ where: { id: userId } }) }
Row Level Security (Supabase)
-- Enable RLS on all tables ALTER TABLE users ENABLE ROW LEVEL SECURITY; -- Users can only view their own data CREATE POLICY "Users view own data" ON users FOR SELECT USING (auth.uid() = id); -- Users can only update their own data CREATE POLICY "Users update own data" ON users FOR UPDATE USING (auth.uid() = id);
Verification Steps
- Tokens stored in httpOnly cookies (not localStorage)
- Authorization checks before sensitive operations
- Row Level Security enabled in Supabase
- Role-based access control implemented
- Session management secure
5. XSS Prevention
Sanitize HTML
import DOMPurify from 'isomorphic-dompurify' // ALWAYS sanitize user-provided HTML function renderUserContent(html: string) { const clean = DOMPurify.sanitize(html, { ALLOWED_TAGS: ['b', 'i', 'em', 'strong', 'p'], ALLOWED_ATTR: [] }) return <div dangerouslySetInnerHTML={{ __html: clean }} /> }
Content Security Policy
// next.config.js const securityHeaders = [ { key: 'Content-Security-Policy', value: ` default-src 'self'; script-src 'self' 'unsafe-eval' 'unsafe-inline'; style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; font-src 'self'; connect-src 'self' https://api.example.com; `.replace(/\s{2,}/g, ' ').trim() } ]
Verification Steps
- User-provided HTML sanitized
- CSP headers configured
- No unvalidated dynamic content rendering
- React's built-in XSS protection used
6. CSRF Protection
CSRF Tokens
import { csrf } from '@/lib/csrf' export async function POST(request: Request) { const token = request.headers.get('X-CSRF-Token') if (!csrf.verify(token)) { return NextResponse.json( { error: 'Invalid CSRF token' }, { status: 403 } ) } // Process request }
SameSite Cookies
res.setHeader('Set-Cookie', `session=${sessionId}; HttpOnly; Secure; SameSite=Strict`)
Verification Steps
- CSRF tokens on state-changing operations
- SameSite=Strict on all cookies
- Double-submit cookie pattern implemented
7. Rate Limiting
API Rate Limiting
import rateLimit from 'express-rate-limit' const limiter = rateLimit({ windowMs: 15 * 60 * 1000, // 15 minutes max: 100, // 100 requests per window message: 'Too many requests' }) // Apply to routes app.use('/api/', limiter)
Expensive Operations
// Aggressive rate limiting for searches const searchLimiter = rateLimit({ windowMs: 60 * 1000, // 1 minute max: 10, // 10 requests per minute message: 'Too many search requests' }) app.use('/api/search', searchLimiter)
Verification Steps
- Rate limiting on all API endpoints
- Stricter limits on expensive operations
- IP-based rate limiting
- User-based rate limiting (authenticated)
8. Sensitive Data Exposure
Logging
// ❌ WRONG: Logging sensitive data console.log('User login:', { email, password }) console.log('Payment:', { cardNumber, cvv }) // ✅ CORRECT: Redact sensitive data console.log('User login:', { email, userId }) console.log('Payment:', { last4: card.last4, userId })
Error Messages
// ❌ WRONG: Exposing internal details catch (error) { return NextResponse.json( { error: error.message, stack: error.stack }, { status: 500 } ) } // ✅ CORRECT: Generic error messages catch (error) { console.error('Internal error:', error) return NextResponse.json( { error: 'An error occurred. Please try again.' }, { status: 500 } ) }
Verification Steps
- No passwords, tokens, or secrets in logs
- Error messages generic for users
- Detailed errors only in server logs
- No stack traces exposed to users
9. Blockchain Security (Solana)
Wallet Verification
import { verify } from '@solana/web3.js' async function verifyWalletOwnership( publicKey: string, signature: string, message: string ) { try { const isValid = verify( Buffer.from(message), Buffer.from(signature, 'base64'), Buffer.from(publicKey, 'base64') ) return isValid } catch (error) { return false } }
Transaction Verification
async function verifyTransaction(transaction: Transaction) { // Verify recipient if (transaction.to !== expectedRecipient) { throw new Error('Invalid recipient') } // Verify amount if (transaction.amount > maxAmount) { throw new Error('Amount exceeds limit') } // Verify user has sufficient balance const balance = await getBalance(transaction.from) if (balance < transaction.amount) { throw new Error('Insufficient balance') } return true }
Verification Steps
- Wallet signatures verified
- Transaction details validated
- Balance checks before transactions
- No blind transaction signing
10. Dependency Security
Regular Updates
# Check for vulnerabilities npm audit # Fix automatically fixable issues npm audit fix # Update dependencies npm update # Check for outdated packages npm outdated
Lock Files
# ALWAYS commit lock files git add package-lock.json # Use in CI/CD for reproducible builds npm ci # Instead of npm install
Verification Steps
- Dependencies up to date
- No known vulnerabilities (npm audit clean)
- Lock files committed
- Dependabot enabled on GitHub
- Regular security updates
Examples
Example 1: Ask for the upstream workflow directly
Use @cc-skill-security-review to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @cc-skill-security-review against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @cc-skill-security-review for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @cc-skill-security-review using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
- Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
- Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
- Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
- Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
- Treat generated examples as scaffolding; adapt them to the concrete task before execution.
- Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in
plugins/antigravity-awesome-skills-claude/skills/cc-skill-security-review, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated
SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
- Use when the work is better handled by that native specialization after this imported skill establishes context.@burp-suite-testing
- Use when the work is better handled by that native specialization after this imported skill establishes context.@burpsuite-project-parser
- Use when the work is better handled by that native specialization after this imported skill establishes context.@business-analyst
- Use when the work is better handled by that native specialization after this imported skill establishes context.@busybox-on-windows
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
| Resource family | What it gives the reviewer | Example path |
|---|---|---|
| copied reference notes, guides, or background material from upstream | |
| worked examples or reusable prompts copied from upstream | |
| upstream helper scripts that change execution or validation | |
| routing or delegation notes that are genuinely part of the imported package | |
| supporting assets or schemas copied from the source package | |
Imported Reference Notes
Imported: Resources
Remember: Security is not optional. One vulnerability can compromise the entire platform. When in doubt, err on the side of caution.
Imported: Security Testing
Automated Security Tests
// Test authentication test('requires authentication', async () => { const response = await fetch('/api/protected') expect(response.status).toBe(401) }) // Test authorization test('requires admin role', async () => { const response = await fetch('/api/admin', { headers: { Authorization: `Bearer ${userToken}` } }) expect(response.status).toBe(403) }) // Test input validation test('rejects invalid input', async () => { const response = await fetch('/api/users', { method: 'POST', body: JSON.stringify({ email: 'not-an-email' }) }) expect(response.status).toBe(400) }) // Test rate limiting test('enforces rate limits', async () => { const requests = Array(101).fill(null).map(() => fetch('/api/endpoint') ) const responses = await Promise.all(requests) const tooManyRequests = responses.filter(r => r.status === 429) expect(tooManyRequests.length).toBeGreaterThan(0) })
Imported: Pre-Deployment Security Checklist
Before ANY production deployment:
- Secrets: No hardcoded secrets, all in env vars
- Input Validation: All user inputs validated
- SQL Injection: All queries parameterized
- XSS: User content sanitized
- CSRF: Protection enabled
- Authentication: Proper token handling
- Authorization: Role checks in place
- Rate Limiting: Enabled on all endpoints
- HTTPS: Enforced in production
- Security Headers: CSP, X-Frame-Options configured
- Error Handling: No sensitive data in errors
- Logging: No sensitive data logged
- Dependencies: Up to date, no vulnerabilities
- Row Level Security: Enabled in Supabase
- CORS: Properly configured
- File Uploads: Validated (size, type)
- Wallet Signatures: Verified (if blockchain)
Imported: Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.