security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features.
Skill by mturac
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mturac-security-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend, security, finance
Reviews
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What's inside
- Skill name
security-review- Description
- Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
- License
- MIT
- Instructions
- 491 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Security Review Skill
This skill ensures all code follows security best practices and identifies potential vulnerabilities.
## When to Activate
- 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
- Integrating third-party APIs
## Security Checklist
### 1. Secrets Management
#### FAIL: NEVER Do This
```typescript
const apiKey = "sk-proj-xxxxx" // Hardcoded secret
const dbPassword = "password123" // In source code
```
#### PASS: ALWAYS Do This
```typescript
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
- [ ] `.env.local` in .gitignore
- [ ] No secrets in git history
- [ ] Production secrets in hosting platform (Vercel, Railway)
### 2. Input Validation
#### Always Validate User Input
```typescript
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
```typescript
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(/\.[^.]+$/)?.[0]
if (!extension || !allowedExtensions.includes(extension)) {
throw new Error('Invalid file extension')
}
return true
}
```
#### Verification Steps
- [ ] All user inputs validated with schemas
- [ ] File uploads restricted (size, type, extension)
- [ ] No direct use of user input in queries
- [ ] Whitelist validation (not blacklist)
- [ ] Error messages don't leak sensitive info
### 3. SQL Injection Prevention
#### FAIL: NEVER Concatenate SQL
```typescript
// DANGEROUS - SQL Injection vulnerability
const query = `SELECT * FROM users WHERE email = '${userEmail}'`
await db.query(query)
```
#### PASS: ALWAYS Use Parameterized Queries
```typescript
// Safe - parameterized query
const { data } = await supabase
.from('users')
.select('*')
.eq('email', userEmail)From mturac/everything-openai-codex, MIT.
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Signals
- Stars
- 83
- Forks
- 2
- Open issues
- 1
- Last commit (this folder)
- May 18, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
security-review skill. Agent Mart. https://agentmart.dev/skills/mturac-security-review (last updated 2026-10-24)