Results for “defillama”

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy (see `emil-design-eng`). Default to flagging; approval is earned. Use when reviewing a diff for motion quality — not for writing features, fixing unrelated bugs, or general (non-motion) code review. For building an animation from scratch, use `animate`; for a whole-codebase audit, use `improve-animations`. Source: github.com/emilkowalski/skills.

Analyzes DeFi protocol risk before deposit, decomposes headline APY into sustainable yield, emissions, and drag factors, and flags common rug-risk patterns in tokenomics, liquidity, and governance. Advisory only—no wallet access, no private key handling, no transaction signing, no on-chain execution.

Deploys deception technology including honeypots, honeytokens, and decoy systems to detect attackers who have bypassed perimeter defenses, providing high-fidelity alerts with near-zero false positive rates.

Deploys and configures Delinea Secret Server for privileged access management, including secret vault setup, role-based access policies, automated password rotation, session recording, and Active Directory integration.

Deploy Llama Guard, NeMo Guardrails, and LLM Guard as runtime input/output scanners to block jailbreaks, prompt injection, and toxic content in production LLM applications.

Extracts and analyzes malicious VBA macros, XLM macros, DDE, and remote template injections in Microsoft Office documents using olevba, oledump, and deobfuscation techniques to identify download cradles, payload execution, and persistence mechanisms.

Polishes existing motion against the transitions.dev motion-token scale by auditing duration, distance, scale, blur, and easing values and suggesting token-based corrections.