"A practical contract for expanding a pretrained LLM tokenizer in place while preserving token identity, model quality, and real inference performance
用内容、发现、调用与运行时四层模型，判断 SKILL.md 在 Codex、Claude Code、Gemini CLI 和 GitHub Copilot 之间到底能移植什么。
A four-layer compatibility model for moving SKILL.md workflows across Codex, Claude Code, Gemini CLI, and GitHub Copilot without confusing shared synt
AI Coding Agent 可能在代码审查前执行依赖。本文给出验证包名、来源、版本、哈希和安装脚本的 fail-closed 准入方案。
AI coding agents may execute dependencies before review. Build a fail-closed pre-install gate for package identity, source, version, hashes, and scrip
从 Singular Bank 的客户案例看金融 AI：速度只是第一层价值，批准数据源、结构化工作流、输出留痕与人类判断共同构成可验证闭环。
How Singular Bank reports saving bankers 60–90 minutes daily with ChatGPT and Codex, and why verifiable workflows matter in finance.
"判断 AI Agent 何时需要领域特定语言，何时 JSON Schema 已经够用，并用最小 DSL 架构建立可验证的执行边界。"
"Learn when an AI agent needs a domain-specific language, when JSON Schema is enough, and how to build a minimal DSL with deterministic validation."
MCP Elicitation 把工具执行中的人工决策变成可恢复的协议状态。本文讲清 form、URL、安全边界、状态持久化与重试设计。
