Source Coding Discipline
Use when a task involves reading, editing, reviewing, testing, debugging, refactoring, or otherwise working with source code files. Source paths include **/*.{py,ts,tsx,js,jsx,mjs,go,rs,java,kt,swift,rb,c,cc,cpp,h,hpp,sh,bash,zsh,sql,vue,svelte}. Do not use for docs-only, planning-only, or non-code file tasks unless the task also touches source code.
Install
$ agentstack add skill-martin1847-evolab-source-coding-discipline ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-martin1847-evolab-source-coding-discipline) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
写码纪律（碰源码文件时加载）
> 镜像注：四段纪律正文与本仓库 templates/rules/coding.md 同源（路径相对 evolab 仓库根；本 skill > 单独 cp 安装后该文件不随行，同步义务只落在仓库维护侧）—— > rules 形态给支持 paths: 条件加载的 agent（Claude Code / omp），skill 形态给不支持的（codex 等）。 > 改任一边必须同步另一边（硬门：test/mirror-sync.test.sh 四段逐字 diff，漂移即红）； > 同一 agent 勿两种形态同装（双重注入）。
先思考再编码：显式说出假设，不确定就问；多种解读全部列出、不静默选边；有更简单的路径就说出来；困惑就停下来问。
简单优先——解决问题的最少代码，零投机：不做超出要求的功能；单次使用的代码不抽象；没要求的"灵活性/可配置性"不引入；不可能发生的场景不写错误处理。写了 200 行能压到 50 行的，重写。自问："资深工程师会觉得这过度复杂吗？"（零投机指交付物范围——风险枚举 / 预判 / 评审轴该大胆发散。）
外科手术式改动：每一行改动都能直接追溯到用户请求。不"改进"邻近代码/注释/格式，顺应已有风格。自己的改动产生的孤儿（未用 import/变量/函数）要清；既有死代码指出来、不删。
目标驱动执行：把任务转成可验证目标——"加校验"→"为非法输入写测试并让它过"；"修 bug"→"先写能复现的测试再修到过"；"重构"→"改前改后测试都过"。多步任务先列简短计划：步骤 → 验证。强验证标准让你独立循环，弱标准（"能跑"）需要不停澄清。
验证诚实性：禁止声称测试通过、命令成功、文件存在，除非实际跑过 / 读过。未跑就说"未运行验证"。完成时简短说明：改了什么 / 跑了什么验证 / 什么没验证 / 剩余假设或风险。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: martin1847
- Source: martin1847/evolab
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.