Results for “token-screening”

Perform forensic on-chain analysis of EVM tokens to detect scams, rug pulls, and soft rugs by cross-referencing on-chain state against team narratives.

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.

Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues.

Scans codebases for security vulnerabilities by reasoning about code context, data flow, and component interactions, covering injection flaws, secrets exposure, authentication issues, and weak cryptography across multiple languages.

Generates at most one token recommendation and one prediction-market pick per run, each with a falsifiable thesis, entry, sizing, and kill criterion. Returns NO_PICK when no candidate meets the bar.

Design a theming architecture that supports brand variants, dark mode, and high-contrast modes with token mapping.

Performs advanced network reconnaissance using Nmap's scripting engine, timing controls, evasion techniques, and output parsing to discover hosts, enumerate services, detect vulnerabilities, and fingerprint operating systems across authorized target networks.

Detect privilege escalation attempts including token manipulation, UAC bypass, unquoted service paths, kernel exploits, and sudo/doas abuse across Windows and Linux.

Token Standards

Use for UI/UX and design-system work when Codex should convert visual direction or existing UI into reusable design tokens.

Embeds target and source image parquets, then mines nearest-neighbour source images for augmentation in VCN AOI workflows.

用于 A 股、港股、美股及其他股票市场的股票筛选、候选股构建、指定股票比较、行业筛选、主题概念筛选、产业链环节筛选、策略风格筛选和龙头识别。适用于用户要求找股票、筛股票池、比较指定股票、识别行业或主题龙头、按市场/行业/主题/产业链/投资风格/透明指标排序候选标的等场景。强调动态检索、权威信源、业务证据验证、透明分组和可解释结论；禁止隐藏评分、不可解释排名和确定性投资建议。

Ranks weekly token unlocks by Absorption Ratio (unlock value / 7d avg volume) instead of supply percentage, with per-event cliff vs linear classification, recipient category, and a one-line market read.

Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path.

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker — edges as text in one file per ticket locally, or native blocking links on a real tracker.

上下文压缩省 Token。对话变长或开新任务时输出/使用 6 块压缩结构，总长 400~800 tokens。必加载。