Acceptable Use
Behavioral expectations, professional standards, and responsible technology use
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Updated 10-22 00:14
7,300 results
Behavioral expectations, professional standards, and responsible technology use
Scaffold signin and signup authentication endpoints for a project. Use when the user wants to add authentication, create login/register flows, or set up auth…
Audit and harden authentication code for security best practices. Use when the user wants to check their auth implementation for vulnerabilities, harden…
Use when attacking a Windows Active Directory domain — Kerberos roasting/delegation, coercion + NTLM/Kerberos relay (CVE-2025-33073), ADCS ESC1-16 (EKUwu),…
Use when attacking an AI/ML system or model — prompt injection & jailbreaks (Crescendo, Skeleton Key, Best-of-N), RAG/vector poisoning, agentic/MCP…
Use when attacking AWS/Azure/GCP cloud — IAM/identity privilege escalation, IMDS/metadata SSRF, Entra device-code & PRT theft, GCP impersonation chains,…
Use when gaining initial access to a target — phishing, payload delivery, HTML smuggling, ISO/IMG/MOTW bypass, supply-chain, credential stuffing,…
MANDATORY for ALL LiveView authentication work. Invoke before writing on_mount hooks, auth plugs for LiveViews, or session handling in LiveView modules. Covers…
Implement security best practices for Guidewire InsuranceSuite including OAuth2, JWT handling, API roles, secure Gosu coding, and data protection. Trigger with…
Check/download a package (npm, Maven, PyPI, Go...) via JFrog — safe, allowed, curated? Or: package op fails/blocked (ETARGET, 403, blocked by curation policy,…
Classifies LLM prompts and responses as safe or unsafe using Meta's LlamaGuard (7B v1, 8B v2 and v3) across six categories: violence and hate, sexual content,…
Adds runtime safety rails to LLM applications with NVIDIA NeMo Guardrails, configured through Colang 2.0 flows. Covers jailbreak and prompt-injection…
Classifies text with Meta's Prompt Guard, an 86M-parameter model loaded from HuggingFace, into BENIGN, INJECTION or JAILBREAK labels to detect prompt…
Use when scanning project dependencies for supply-chain risk, running Socket SCA on npm/pip/pypi packages, hunting typosquats or malicious packages, or…
Scan codebase for security vulnerabilities including secrets, insecure dependencies, and unsafe code patterns. Use when performing automated security scans.
Use when adding, modifying, or auditing GitHub Actions workflows under .github/workflows/. Audits permissions, expression injection, unpinned actions, and…
Use before risky refactors, after incidents, when hiring for coverage gaps, or designing rotation/on-call. Maps people to files via git history to surface…
Use when designing cross-boundary features, integrating third parties, refactoring auth, or expanding blast radius. Threat-models via trust boundaries,…
Use when writing or reviewing frontend, backend, or mobile code, or when audits reveal stack-layer gaps. Enforces per-stack checkpoints: XSS-CSP,…
Practical application and platform security for threat modeling, authn and authz review, secret handling, hardening, CI/CD security gates, cloud and Kubernetes…
Comprehensive security auditing framework for LLM applications covering OWASP Top 10 for LLMs, threat modeling, penetration testing, and compliance with NIST…
Use when designing or reviewing security for a web application, API, or multi-tenant SaaS — produces threat model, abuse case list, auth/authz matrix, and…
Audit project dependencies for version staleness, security vulnerabilities, and compatibility issues. Covers lock file analysis, upgrade path planning, and…
AI situational awareness — internal threat detection for hallucination risk, scope creep, and context degradation. Maps Cooper color codes to reasoning states…