solana-cpi-safety-skill 是做什么的？
用于 Solana 跨程序调用（CPI）加固的技能，重点覆盖返回数据欺骗漏洞类型。适用于 Claude Code / Codex 的 Solana AI Kit 技能。
用于 Solana 跨程序调用（CPI）加固的技能，重点覆盖返回数据欺骗漏洞类型。适用于 Claude Code / Codex 的 Solana AI Kit 技能。
RECTOR-LABS/solana-cpi-safety-skill 是一个专门用于加固 Solana 跨程序调用（CPI）的 AI 技能，其核心目标是通过第一类覆盖来防范返回数据欺骗（return-data spoofing）漏洞类别。该技能适用于 Claude Code 和 Codex 平台，是 Solana AI Kit 的一部分。它通过分析 CPI 的调用链和返回值处理逻辑，自动识别并修复可能被攻击者利用的返回数据验证缺失问题。开发者在构建 Solana 智能合约时，使用此技能可以显著降低因 CPI 安全问题导致资产损失的风险。该技能基于详细的 SKILL.md 文档，提供了代码示例、检测规则和修复策略，帮助开发者遵循最佳实践并编写更安全的 Solana 程序。
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用于 Solana 跨程序调用（CPI）加固的技能，重点覆盖返回数据欺骗漏洞类型。适用于 Claude Code / Codex 的 Solana AI Kit 技能。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.