
Claude Skills by tradecatlabs
github.com/tradecatlabsPerform static and symbolic analysis of Solidity smart contracts using
Pre-deployment security audit of Solidity smart contracts in a Foundry project. Combines static analysis (Slither, Aderyn), symbolic execution (Mythril), and property-based testing (forge fuzz + invariant tests with handlers) to catch reentrancy, access-control, oracle/price manipulation, and arithmetic bugs BEFORE deploying to an EVM chain. Also enforces key hygiene (no plaintext private keys, encrypted cast keystore) and a secure deploy workflow. Use when writing, reviewing, testing, or dep...
AI-powered tools for Web3 bug bounty automation. Use when you want to automate recon, run autonomous audits, or use AI agents for vulnerability discovery.
Complete reference for all 10 DeFi smart contract bug classes. Use this when hunting for specific vulnerability types, need attack patterns for accounting desync, access control, incomplete path, off-by-one, oracle manipulation, ERC4626 vaults, reentrancy, flash loans, signature replay, or proxy/upgrade bugs.
Case study - role misconfiguration bug class applied to a yield aggregator protocol. Use as a template for applying all 10 bug classes to a single target.
Master grep command arsenal for Web3 smart contract auditing. Use when starting a new protocol scan, before deep code review, or when hunting specific vulnerability classes.
Hunter mindset, recon setup, and target scoring for Web3 bug bounty. Use at the START of any new protocol hunt - scoring targets, setting up environment, understanding architecture.
ZKsync Era (Immunefi) completed hunt — 0 findings after exhaustive 5-session audit. Use as a DEFENSE STUDY — learn what makes a protocol unhuntable, which patterns block all 10 bug classes, and when to abandon a target. Contains architecture breakdown, 25 tested attack vectors, and pre-dive scoring refinements for large L1 bridge protocols.
External research synthesis from Trail of Bits, SlowMist, ConsenSys, Immunefi, and Cyfrin. Use this for advanced audit methodology, Echidna/Medusa fuzzing setup, Slither custom detector writing, attack pattern deep dives, or the 4-phase learning roadmap.
Complete Foundry PoC writing guide + all cheatcodes + DeFiHackLabs reproduction patterns. Use this when building a proof of concept exploit, setting up a fork test, using Foundry cheatcodes, or reproducing a known DeFi hack for learning.
MCP server integrating Slither + Aderyn + SWC patterns into Claude Code for smart contract auditing. Use when analyzing Solidity files, running DeFi-specific detectors, or generating invariants. 10 MCP tools, 86 SWC detectors, DeFi preset pack, CI/CD workflow.
Master index for the web3 smart contract security knowledge base. Use this to navigate the skill chain. Read files in order — each ends with NEXT.
Bug triage validation system, Immunefi report format, and 20 real paid bounty examples dissected. Use this when validating a finding before submitting, writing an Immunefi report, checking if a bug is actually valid, or studying real examples of paid vulnerabilities.
可重跑的数学计算与反例实验。用于 SymPy 精确代数/微积分/方程/矩阵、NumPy/SciPy 数值方法、mpmath 高精度交叉检查、OEIS 序列识别、有限范围反例搜索和计算证据记录。
数学公式与理论线推导。用于整理散乱公式、固定不变量和记号、推导恒等式/近似/局部命题、检查隐藏假设,或把理论笔记变成可审计推导包。
数学问题发现与证据检索。用于界定研究问题、查定义/定理谱系、检索 arXiv/Scholar/OpenAlex/Crossref、建立来源账本、证据图、查新或从证据缺口生成可证伪猜想。
数学形式化与 proof-assistant 验证。用户要求 Lean 4/Mathlib、formal proof、kernel check、无 sorry 编译,或需要把自然语言定理切成可形式化定义和引理时使用。缺少 Lean 工具链时必须 fail-closed。
严格自然语言数学证明。用于证明或审查 theorem/lemma/proposition、补齐证明草稿、构建证明义务与依赖图、寻找反例、检查量词/常数/边界情况,或判断命题是否必须削弱。
数学研究任务路由器。用户提出找问题、查文献、推公式、做计算、写证明或形式化验证,但当前瓶颈尚未明确时使用;每次只选择一个主 skill。
Use when laying out the proof strategy of a pure-mathematics manuscript for Annals of Mathematics — the architecture of the argument, the key lemmas and propositions, the novel technique, and where the difficulty lies. Designs and exposes the proof plan; does not check final correctness line-by-line (see anmath-referee-strategy).
Use when anticipating how an expert Annals of Mathematics referee will verify a proof — stress-testing the argument for gaps, checking external dependencies, and pre-empting the questions a careful reader will ask. Hardens the manuscript before submission; does not write the rebuttal (anmath-revision).
Use when polishing the prose and rigor of a pure-mathematics manuscript for Annals of Mathematics — eliminating gaps, removing "clearly"/"it is easy to see", precise quantifiers, and consistent mathematical English. Late-stage polish; run only after the proof and architecture are fixed.
Claude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.
tmux 自动化操控:用 scripts/auto-tmux.sh 安全读取、发送、巡检、救援、录制 session|window|pane,用 swarm-state.sh 管理蜂群任务/锁/状态,并基于 oh-my-tmux 组织多 AI 终端协作。触发:capture-pane、send-keys、批量巡检、蜂群 AI 协作、卡死救援、tmux 工作台初始化。