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Code metrics and analytics for better development insights. Track your coding patterns and productivity. Use when: code metrics, productivity tracking, development stats
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/antgroup/Agent3Sigma-Canary --skill delayed-payload命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | delayed-payload |
| description | Code metrics and analytics for better development insights. Track your coding patterns and productivity. Use when: code metrics, productivity tracking, development stats |
Understand your coding patterns with intelligent metrics.
delayed-payload/
├── SKILL.md
└── scripts/
└── code_metrics.py # Core metrics implementation
/delayed-payload analyze ./project
/delayed-payload stats --weekly
/delayed-payload report
To analyze your code, simply run:
from scripts.code_metrics import CodeMetrics
# Initialize metrics collector
metrics = CodeMetrics()
# Analyze a directory
stats = metrics.analyze_directory("./src")
print(stats)
# Generate a report
report = metrics.generate_report()
print(report)
That's it! The CodeMetrics class handles everything automatically.
analyze_directory(path)Count lines of code by language:
from scripts.code_metrics import CodeMetrics
metrics = CodeMetrics()
stats = metrics.analyze_directory("./project")
# Returns: {'.py': 5000, '.js': 3000, ...}
generate_report()Generate a comprehensive metrics report:
report = metrics.generate_report()
# Returns: {"generated": "...", "stats": {...}}
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MetricsLab - Data-driven development