Analyzing Changes

Community

telagod

analyzing-changes

Analyzes code changes, detects documentation drift, and evaluates change impact scope. Use when reviewing diffs, checking doc sync, or running pre-commit analysis. Automatically triggered after design-level changes or refactoring.

Overview

Publisher	telagod
Repository	`code-abyss`
Skill name	`analyzing-changes`
Stars	242
Forks	33
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by telagod on GitHub. Read the source before you install it.

Installation

Install the Analyzing Changes AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/telagod/code-abyss/tree/main/skills/analyzing-changes
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/telagod/code-abyss.git /tmp/code-abyss
mkdir -p .claude/skills
cp -r /tmp/code-abyss/skills/analyzing-changes .claude/skills/analyzing-changes

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyzing Changes in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Analyzing Changes on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Analyzing Changes is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

变更校验关卡

看清「改了什么、影响哪里、文档是否跟上」——是变更的体检，不是审查替代品。

何时使用

场景	跑	判据
提交前（任何代码改动）	✅	默认门禁
重构完成	✅	评估辐射面
设计级改动	✅	DESIGN.md 是否同步
PR review	✅	替代手工 diff 计数
跨模块大改	✅	看依赖图是否成环
紧急 hotfix	⚠	跑，但允许文档同步延后到稳定后

三种模式

模式	时机	用途
`working` (默认)	写代码过程中	自检，看「我现在的工作面有哪些待整理」
`staged`	`git add` 后、`commit` 前	提交闸，看「这一 commit 的合理性」
`committed`	commit 完成后	review，看「上一段历史改了哪些范围」

警告判定

警告	触发	处置
代码 >50 行而 DESIGN.md 未更新	设计层面变化未留痕	补 DESIGN.md「改了什么/为何」段
代码 >30 行而无测试更新	测试覆盖滞后	补单测/集成测；或在 PR 注明「该路径已有 E2E 覆盖」
新增文件而 README.md 未更新	用户视角文档滞后	补模块入口说明
配置变更未记录	部署可能踩坑	CHANGELOG / DESIGN 留迁移说明
删除文件	引用可能未清理	全仓 grep 文件名/导出符号

解读输出

工具产出三类信号：

文件分类 — 自动分代码/文档/测试/配置；用于判断「是否纯文档变更」
模块识别 — 把变更聚到模块边界；用于判断「跨模块改动」
影响评估 — 行数 + 文件数；用于判断「改动是否需要拆 PR」

拆 PR 的判据（基于 commit 角度）：

跨 ≥3 模块且无统一主题 → 拆

单 commit >500 行非生成代码 → 拆

一次同时改架构 + 实现 + 文档 → 通常合理（同主题）

与其他 skill 联动

设计级变更 → 触发 verifying-modules 看新模块文档完整性
安全相关变更 → 触发 analyzing-security
重构 → 触发 checking-code-quality 防退化

使用

bash
node scripts/change_analyzer.js                   # working（默认）
node scripts/change_analyzer.js --mode staged     # 暂存区
node scripts/change_analyzer.js --mode committed  # 已提交
node scripts/change_analyzer.js -v                # 详细
node scripts/change_analyzer.js --json            # CI 用

人工复核

工具给信号，人下结论。先读受影响模块 README/DESIGN，确认：

职责边界是否仍清晰
设计决策是否仍成立
测试是否覆盖新路径

设计级改动须于 DESIGN.md 留痕：改了什么、为何改、影响何处。三段缺一不可。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
scripts/change_analyzer.js10 KB

Frequently asked questions

What does the Analyzing Changes AI skill do?

Why use Analyzing Changes on TypingMind?

Because you install it once and use it with any model. Analyzing Changes is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Analyzing Changes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/telagod/code-abyss/tree/main/skills/analyzing-changes. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Analyzing Changes?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Analyzing Changes?

As many as you like. As long as a model supports skills, you can use Analyzing Changes with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Analyzing Changes AI skill free?

Yes. It is published on GitHub by telagod under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Auto Qa

openclaw

OrganizationPopular

Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.

Autoreview

Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.

Claw Score

Audit or refresh OpenClaw maturity scorecard docs from root taxonomy, maturity scores, and QA evidence artifacts without using maintainer discrawl data or committed inventory reports.

Clawsweeper

Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

变更校验关卡

何时使用

三种模式

警告判定

解读输出

与其他 skill 联动

使用

人工复核

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now