/evidence-first-engineering — 证据优先工程基础

SkillAI & models

Apply evidence-first engineering discipline to any agent-built software project: fact discovery before action, evidence-calibrated status reporting, explicit change boundaries and stage gates, controlled confirmation for risky or external actions, sensitive-information redaction for anything shared publicly, and resumable continuity after interruptions. Use when users ask an agent to take over an existing codebase, deliver a feature across stages, verify whether work is actually complete, judge release readiness, or keep conclusions honest about what is proven versus assumed. This foundation skill is domain-neutral; vertical suites (for example mini-program engineering) build on it by adding domain facts and platform rules.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the /evidence-first-engineering — 证据优先工程基础 skill

What this skill tells your AI

The instructions your AI receives, as published by nocodemrli/mini-program-engineering-skill-suite in foundation/SKILL.md and read by ahel’s review.

本技能是领域无关的工程治理基础:任何领域的 Agent 软件工程套件都可以 vendored 引用本层,再叠加自己的领域事实与平台规则。第一个垂直应用是小程序工程开发套件(mini-program-engineering-suite)。

核心组件

使用方式(对垂直套件作者)

  1. foundation/ 目录整体 vendored 到你的套件,或以相对链接引用(单仓场景)。
  2. 你的领域 Skill 引用上述文档作为门禁与状态语言,不复制正文。
  3. 领域易变事实(平台规则等)放你自己的事实层,并遵循「执行层即时查官方、内容层受控进化」的保鲜原则。
  4. 引用本层时保留 foundation-source 标记,便于升级时同步。

输出契约(继承,不变)

阶段性或最终汇报至少包含:当前结论与阶段;已完成的动作及证据;未执行、未验证或待确认项;改动边界与残余风险;下一步动作。状态词使用证据状态模型;没有对应证据时诚实标注 unknown,不夸大。

Signals

GitHub stars
60
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
evidence-first-engineering
Source
github.com/nocodemrli/mini-program-engineering-skill-suite