security

A set of application-security rules covering secrets, user input, authentication, permissions, cross-site attacks, and protective HTTP headers.

In plain words
What is it for?
Use it when building or reviewing backend endpoints, Angular frontends, authentication, API calls, input validation, database access, and production security settings.
Why use it?
It reduces common risks such as exposed API keys, unsafe database queries, forged requests, unauthorized access, and browser-based attacks.

Cursor rule

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/mckruz/claude-code-mastery/security
Clone the repo
git clone --depth 1 https://github.com/MCKRUZ/claude-code-mastery
Per session 472 This file is loaded in full into every session.
When invoked 472 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00472 $0.00472
Opus 5 $0.00236 $0.00236
Sonnet 5 $0.00094 $0.00094
Haiku 4.5 $0.00047 $0.00047

Measured 2d ago against content hash e9d3c0badba8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

security scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cursor-export/project-rules/security.mdc · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security

Secrets Management

  • NEVER hardcode secrets, API keys, tokens, or connection strings in code.
  • Dev: User Secrets (dotnet user-secrets). Prod: Azure Key Vault.
  • Frontend: NEVER put secrets in Angular/client-side code — backend proxies all external API calls.
  • If a secret is exposed: rotate immediately, check Application Insights for exploitation.

Input Validation & Injection

  • All user input validated at system boundaries (FluentValidation / Angular reactive forms).
  • SQL: EF Core only (auto-parameterized). Raw SQL: FromSqlInterpolated only — never string concatenation.
  • XSS: Angular auto-escapes by default. Use DomSanitizer only when unavoidable, with a comment explaining why.
  • CSRF protection enabled on all state-changing endpoints.

Authentication & Authorization

  • Auth required on all endpoints. Rate limiting on public endpoints.
  • JWT: ValidateLifetime=true, ClockSkew=Zero, validate issuer + audience + signing key.
  • CORS: explicit allowlist only (CorsAllowedOrigins), never wildcard in production.

HTTP Security Headers

  • X-Frame-Options: DENY
  • X-Content-Type-Options: nosniff
  • Content-Security-Policy: restrictive default
  • Strict-Transport-Security: max-age=31536000; includeSubDomains
  • Error responses: never leak stack traces, internal paths, or sensitive data.

AI/LLM Security

  • Validate and sanitize all LLM inputs and outputs — treat model output as untrusted.
  • Content safety middleware on all agent endpoints.
  • Tool permissions enforced via pipeline behavior — tools only accessible to authorized agents.
  • Prompt injection defense: never embed raw user input directly into system prompts.

Supply Chain

  • Run dotnet list package --vulnerable and npm audit before adding new dependencies.
  • Pin major versions. Review changelogs before upgrading.

If Security Issue Found

  1. STOP current work — security takes priority over all other tasks.
  2. Fix CRITICAL issues before resuming other work.
  3. Rotate any exposed secrets, audit logs for exploitation.

Read the full file on GitHub · 46 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 46 lines · 472 tokens per session scan A e9d3c0badba8

Subscribe to this mod's changes

security is a cursor rule published in the GitHub repository MCKRUZ/claude-code-mastery (11 stars, last pushed 4mo ago), licensed MIT. It adds 472 tokens to every session, about $0.0024 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.