The single security skill — diff/PR audit method with a high-confidence bar (BOLA/IDOR, mass assignment, DTO validation, injection, secrets, rate limiting), STRIDE threat modeling before large features, backend auth hardening (guards, Passport, RBAC, CORS/CSRF, OWASP ASVS), and mobile hardening (MASVS: token storage, deep links, WebView, build config). Load the SKILL.md for routing, then read ONLY the references/ file matching the job.
Multi-session defensive security coach: prompt injection, data leaks, agent safety, and incident response, taught with inert examples. Use only when asked to start or continue this course.
Sentry-specific security review based on real vulnerability history. Use when reviewing Sentry endpoints, serializers, or views for security issues. Trigger keywords: "sentry security review", "check for IDOR", "access control review", "org scoping", "cross-org", "security audit endpoint".
Use when attacking an AI/ML system or model — prompt injection & jailbreaks (Crescendo, Skeleton Key, Best-of-N), RAG/vector poisoning, agentic/MCP exploitation (CVE-2025-54136), ML supply-chain RCE (pickle CVE-2025-32434), model extraction / membership inference / adversarial suffixes (GCG)
SQL injection screening for host code (MoonBit / TS / Rust) plus secretlint setup notes. Flags single-line template-literal or string-concat SQL builders, regardless of value source — the scanner is line-based and does NOT trace data flow, so a clean scan is not proof of safety (multi-line template literals are missed) and every hit needs a manual review or an explicit `// sql-security: ok` opt-out.
Covers AWS security services and workflows — Security Hub V2 (OCSF) findings, connectors, aggregators, automation rules, and security posture summaries; Security Hub CSPM (V1/ASFF) controls and compliance standards; GuardDuty threat findings; Inspector vulnerability findings; Macie sensitive data findings; Detective investigation; and Security Lake configuration and data aggregation. Applicable when questions involve security posture, Exposure findings, CSPM failed controls, threat findings, vulnerability findings, sensitive data findings, automation rules, or cross-service security configuration across AWS environments. Procedures use standard AWS CLI syntax and work with or without the AWS MCP server.
Security-role assignment, user access, application users, business units, and admin self-elevation in Dataverse environments. Use when the user wants to give someone access, grant a role, become an admin, or add a service principal.
Auditoria de segurança profunda (L1/L2/L3). Use antes de deploy externo, após adicionar auth/dados sensíveis/fluxo financeiro, ou periodicamente como manutenção. Cobre 14 domínios — CIS Docker, OWASP Top 10, OWASP API Top 10, ASVS AuthN/Session, dados/compliance (LGPD/GDPR/PCI), supply chain, AI/LLM (prompt injection, tool calling, multi-tenant LLM), file upload, business logic, secrets scan com 20+ patterns, Supabase/PostgREST RLS regime absoluto. Barra Tempest / Trail of Bits / Cure53.
Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enforcement. Use when: authentication implementation, authorization logic, payment processing, user data handling, API endpoint creation, file upload handling, database queries, external API integration. Skip when: read-only operations on public data, internal development tooling, static documentation, styling changes.
Use when implementing Salesforce Apex security — CRUD/FLS enforcement, sharing keywords, SOQL injection prevention, AppExchange review prep. Do NOT use for general Apex or LWC patterns.
Focused security audit of code, calibrated to surface real exploitable bugs and suppress theoretical findings. Use when the user asks to "audit", "security-audit", "find vulnerabilities", "check for IDOR/SSRF/XSS/injection", or wants a security review of a file, directory, branch diff, or PR. Covers access control, injection, auth/secrets, sensitive data, business logic, web boundary, and AI agent/LLM trifecta risks. Produces calibrated findings with data flow, exploit request, fix, and confidence — no theoretical or defense-in-depth nits.
Use for authorized email security review including phishing analysis, header authentication (SPF/DKIM/DMARC), BEC patterns, and mailbox token abuse research.
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.
A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
How do I use one I find here?
Copy the folder into your project's .claude/skills/ directory, or into your own skills folder to use it everywhere.
What do the warnings mean?
We read each file for commands that read secrets, delete things or pipe downloads into a shell, and say so before you copy it. No warning is not a promise that a file is safe.
Which skills worked for people?
Open a skill to see its discussion. Reports from people and their agents are coming.
ngnthanhdevSkill
