Security And Hardening

Overview

Security is not a feature you add — it is a property you maintain. Most security failures are not sophisticated attacks; they are missing input validation, exposed secrets, misconfigured permissions, and unpatched dependencies. This skill systematically eliminates these before they reach production.

When to Use

• Before merging any PR that touches auth, data storage, user input, or external APIs
• When adding a new endpoint, form, or data type
• When setting up or modifying infrastructure
• As part of the /review workflow

Process

Step 1: Threat model the change

Ask: what can an attacker do with this change? What data does it touch? What systems does it connect to? Who has access? Threat model in 10 minutes with STRIDE:

• Spoofing — Can someone impersonate a legitimate user?
• Tampering — Can someone modify data they shouldn't?
• Repudiation — Can someone deny they took an action?
• Information Disclosure — Can someone read data they shouldn't?
• Denial of Service — Can someone block legitimate access?
• Elevation of Privilege — Can someone gain permissions they shouldn't have?

Step 2: Input validation

• Validate all inputs at the boundary (before processing or storage)
• Validate type, length, format, and range
• Reject invalid inputs — don't sanitize and continue
• Parameterize all database queries (no string concatenation)
• Encode all outputs for their context (HTML, SQL, shell, JSON)

Step 3: Authentication and authorization

• Verify authentication on every request (don't cache auth state across requests)
• Check authorization on every resource access (not just at the route level)
• Use principle of least privilege: request only the permissions you need
• Implement rate limiting on auth endpoints
• Ensure session tokens are invalidated on logout

Step 4: Secrets management

• No secrets in code, commits, or logs
• Use environment variables or a secrets manager
• Rotate secrets after any exposure (assume exposure if committed to git)
• Verify: git log --all -p | grep -i "password\|secret\|token\|key" — if anything shows, rotate immediately

Step 5: Dependency audit

• Run npm audit, pip-audit, or equivalent
• Address all high/critical CVEs before merging
• Pin dependency versions; use lock files
• Review new dependencies before adding them

Step 6: Data handling

• Encrypt sensitive data at rest and in transit
• Never log PII, passwords, tokens, or credit card numbers
• Apply data minimization: only collect what you need
• Implement proper deletion (GDPR right-to-erasure)
• Separate authentication tokens from data queries in logs

Step 7: Error handling

• Never expose stack traces or internal details to users
• Log errors server-side with context; return generic messages to clients
• Don't reveal whether a user exists on login failure ("Invalid credentials" not "User not found")

Step 8: Headers and transport

• Set security headers: CSP, HSTS, X-Frame-Options, X-Content-Type-Options
• TLS everywhere; no HTTP
• No sensitive data in URLs or query parameters

Anti-Rationalizations

"This is an internal API — we don't need auth" Internal APIs are reached by internal attackers and misconfigured external clients. Every API needs auth.

"We'll add security hardening after launch" Security retrofitted onto an insecure design is more expensive and less effective than security built in from the start.

"The secret is only in the git history, not the current code" Git history is accessible to everyone who can clone the repo. Rotate the secret now.

Verification Requirements

• [ ] STRIDE threat model completed for the change
• [ ] All user inputs validated at the boundary
• [ ] All database queries parameterized
• [ ] No secrets in code or commit history
• [ ] Authorization checked on every resource access
• [ ] Dependency audit passed (no high/critical CVEs)
• [ ] No PII in logs
• [ ] Security headers configured
• [ ] Error messages don't expose internals

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: vignesh2027
• Source: vignesh2027/AI-AGENT-SKILLS
• License: MIT

Install and usage instructions live in the source repository linked above.