dev-experiment-031 是做什么的?
waterline - 离线、免LLM、零依赖的差分可达性分析器,用于Agent技能包:计算四种解析器模型下的可达闭包,并报告扫描器视角与代理视角之间的差异(审计-运行时差距与引用清洗)。
waterline - 离线、免LLM、零依赖的差分可达性分析器,用于Agent技能包:计算四种解析器模型下的可达闭包,并报告扫描器视角与代理视角之间的差异(审计-运行时差距与引用清洗)。
waterline 是一个专为 Agent 技能包设计的离线差分可达性分析工具。它不依赖任何大语言模型(LLM)或外部依赖,能够独立运行。该工具的核心功能是计算在四种不同的解析器模型下技能包的“可达闭包”(即所有可访问的实体集合),然后自动比较并报告扫描器(静态分析视角)与代理(实际运行时视角)之间的差异,从而揭示“审计-运行时差距”以及潜在的“引用清洗”问题。这对于开发者验证 Agent 技能的安全性、发现隐蔽的依赖或权限外流路径非常有用。它支持多种 Agent 平台(如 Claude Code、Cursor、Codex 等)的技能包分析,并提供了一个清晰的差异报告,包括偏离的实体及其来源路径。
npx skills add freyesperales/dev-experiment-031Installed? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
waterline - 离线、免LLM、零依赖的差分可达性分析器,用于Agent技能包:计算四种解析器模型下的可达闭包,并报告扫描器视角与代理视角之间的差异(审计-运行时差距与引用清洗)。
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.
Agent skill repository discovered by 10x-chat research.
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.