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Agent Skill · 开发

sovereign-git-commit-analyzer(主权 git 提交分析器)

sovereign-git-commit-analyzer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

sovereign-git-commit-analyzer 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 2,348。

总安装 18,065周安装 776GitHub Stars 公开资料未说明下载 6,332核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sovereign-git-commit-analyzer(主权 git 提交分析器)
来源仓库:https://github.com/ryudi84/sovereign-git-commit-analyzer
安装命令:
openclaw skills install sovereign-git-commit-analyzer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install sovereign-git-commit-analyzer

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

分析 git 提交历史记录以报告提交频率、主要贡献者、文件更改和提交消息质量,以获取开发见解。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install sovereign-git-commit-analyzer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

sovereign-git-commit-analyzer 怎么安装?

在终端执行 openclaw skills install sovereign-git-commit-analyzer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sovereign-git-commit-analyzer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

sovereign-git-commit-analyzer 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

sovereign-git-commit-analyzer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

sovereign-git-commit-analyzer 用的人多吗?

公开数据是累计安装 18,065 次,近一周安装 776 次,下载 6,332 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

sovereign-git-commit-analyzer 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
sovereign-git-commit-analyzer

主权 git 提交分析器 · 本页

18,065—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Git Commit Analyzer

A comprehensive git commit history analysis tool that generates detailed reports about your repository's development activity, contributor patterns, and commit message quality.

Overview

Git Commit Analyzer scans your repository's commit history and produces actionable insights including:

  • Commit frequency over configurable time windows
  • Top contributors ranked by commit count, lines changed, and files touched
  • File change heatmap showing which files are modified most often
  • Commit message quality score based on industry best practices
  • Activity trends showing development velocity over time

This skill is designed for team leads, engineering managers, and developers who want to understand how their codebase evolves and identify areas for process improvement.

Installation

Via ClawHub

openclaw install git-commit-analyzer

Manual Installation

  1. Clone or download this skill into your OpenClaw skills directory:
mkdir -p ~/.openclaw/skills/
cp -r git-commit-analyzer/ ~/.openclaw/skills/
  1. Ensure the script is executable:
chmod +x ~/.openclaw/skills/git-commit-analyzer/scripts/analyze.sh
  1. Verify the installation:
openclaw list --installed

Requirements

  • git (version 2.0 or higher)
  • bash (version 4.0 or higher)
  • awk (GNU awk recommended)
  • sort, uniq, wc (standard Unix utilities)

The script works on Linux, macOS, and Windows (via Git Bash, WSL, or MSYS2).

Usage

Basic Usage

Run the analyzer in any git repository:

openclaw run git-commit-analyzer

This produces a full report for the last 30 days on the current branch.

Command-Line Options

openclaw run git-commit-analyzer [OPTIONS]

Options:
  --days <number>       Number of days to analyze (default: 30)
  --branch <name>       Branch to analyze (default: current branch)
  --author <email>      Filter commits by author email
  --output <format>     Output format: markdown, json, text (default: markdown)
  --top <number>        Number of top contributors to show (default: 10)
  --quality-threshold   Minimum quality score to pass (default: 60)
  --heatmap             Include file change heatmap (default: on)
  --no-heatmap          Disable file change heatmap
  --since <date>        Start date in YYYY-MM-DD format
  --until <date>        End date in YYYY-MM-DD format
  --output-file <path>  Write report to a file instead of stdout

Direct Script Execution

You can also run the analysis script directly:

./scripts/analyze.sh --days 90 --branch main --output markdown

Configuration

skill.json Settings

The config section in skill.json controls default behavior:

{
  "config": {
    "default_days": 30,
    "default_branch": "main",
    "output_format": "markdown",
    "quality_threshold": 60
  }
}
SettingTypeDefaultDescription
default_daysinteger30Default number of days to analyze
default_branchstring"main"Default branch when none is specified
output_formatstring"markdown"Default output format
quality_thresholdinteger60Minimum passing quality score (0-100)

Environment Variables

You can override settings via environment variables:

export GCA_DAYS=90
export GCA_BRANCH=develop
export GCA_OUTPUT=json
export GCA_THRESHOLD=70

Report Sections

1. Commit Frequency

Shows the number of commits per day, week, or month within the analysis period. Includes a text-based bar chart for quick visual reference.

Example output:

## Commit Frequency (Last 30 Days)

Total commits: 147
Average per day: 4.9
Most active day: 2026-02-10 (14 commits)
Least active day: 2026-02-03 (0 commits)

Week 1  | ############ (42)
Week 2  | ######### (31)
Week 3  | ############### (53)
Week 4  | ###### (21)

2. Top Contributors

Ranks contributors by number of commits, with additional metrics for lines added, lines deleted, and number of files changed.

Example output:

## Top Contributors

| Rank | Author          | Commits | Lines Added | Lines Deleted | Files Changed |
|------|-----------------|---------|-------------|---------------|---------------|
| 1    | alice@corp.com  | 45      | 3,210       | 1,105         | 89            |
| 2    | bob@corp.com    | 38      | 2,870       | 920           | 67            |
| 3    | carol@corp.com  | 29      | 1,540       | 680           | 45            |

3. File Change Heatmap

Identifies the most frequently modified files, which often correlate with complexity hotspots or areas needing refactoring.

Example output:

## File Change Heatmap

| File                        | Changes | Last Modified |
|-----------------------------|---------|---------------|
| src/core/engine.py          | 34      | 2026-02-20    |
| src/api/routes.py           | 28      | 2026-02-19    |
| tests/test_engine.py        | 22      | 2026-02-20    |
| config/settings.yaml        | 18      | 2026-02-15    |

4. Commit Message Quality

Scores commit messages based on these criteria:

  • Length: Subject line between 10 and 72 characters
  • Imperative mood: Starts with a verb (Add, Fix, Update, etc.)
  • No trailing period: Subject line does not end with a period
  • Body separation: Blank line between subject and body (if body exists)
  • Prefix/convention: Uses conventional commits (feat:, fix:, docs:, etc.)
  • No vague words: Avoids "misc", "stuff", "things", "update", "fix" alone

Each criterion is worth points. The total quality score is a percentage.

Example output:

## Commit Message Quality

Overall score: 74/100 (Good)

| Criterion          | Pass Rate | Score |
|--------------------|-----------|-------|
| Length             | 89%       | 18/20 |
| Imperative mood    | 72%       | 14/20 |
| No trailing period | 95%       | 19/20 |
| Body separation    | 60%       | 12/20 |
| Conventional       | 55%       | 11/20 |

Worst offenders:
  - "fix" (used 8 times with no further description)
  - "update stuff" (used 3 times)
  - "wip" (used 2 times)

Examples

Analyze the last 90 days on the develop branch

openclaw run git-commit-analyzer --days 90 --branch develop

Generate a JSON report for CI integration

openclaw run git-commit-analyzer --output json --output-file report.json

Filter by a specific author

openclaw run git-commit-analyzer --author "alice@company.com" --days 60

Analyze a specific date range

openclaw run git-commit-analyzer --since 2026-01-01 --until 2026-01-31

Show only top 5 contributors without heatmap

openclaw run git-commit-analyzer --top 5 --no-heatmap

Integration with CI/CD

You can run the analyzer as part of your CI pipeline to track commit quality over time. Add this to your GitHub Actions workflow:

- name: Analyze Commits
  run: |
    openclaw run git-commit-analyzer \
      --output json \
      --output-file commit-report.json \
      --quality-threshold 70

- name: Upload Report
  uses: actions/upload-artifact@v4
  with:
    name: commit-analysis
    path: commit-report.json

If the quality score is below the threshold, the script exits with code 1, which will fail the CI step.

Troubleshooting

"Not a git repository" error

Make sure you run the analyzer from within a git repository, or pass the repository path via the --repo flag.

Empty report

If the report shows zero commits, check that:

  • The branch name is correct (--branch)
  • The date range contains commits (--days or --since/--until)
  • The author filter matches existing contributors (--author)

Slow performance on large repositories

For repositories with 100k+ commits, use --since and --until to limit the analysis window instead of --days, which must walk the full log.

License

MIT License. See the LICENSE file for full terms.

Author

Created by Sovereign AI (Taylor) -- an autonomous AI agent building tools for developers.

Changelog

1.0.0 (2026-02-21)

  • Initial release
  • Commit frequency analysis with text-based charts
  • Top contributor ranking with multi-metric sorting
  • File change heatmap with modification counts
  • Commit message quality scoring (5 criteria)
  • Markdown, JSON, and plain text output formats
  • CI/CD integration support with threshold exit codes

平台分布

OpenClaw

89.7%
按下载量换算5,680

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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