Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/cn-big-cabbage/github-skill-distiller/richnpx skills add CN-big-cabbage/github-skill-distiller --skill richgit clone --depth 1 https://github.com/CN-big-cabbage/github-skill-distillerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cn-big-cabbage/github-skill-distiller/rich)<a href="https://agentmods.dev/skills/cn-big-cabbage/github-skill-distiller/rich"><img src="https://agentmods.dev/badge/skills/cn-big-cabbage/github-skill-distiller/rich.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00015 | $0.01072 |
| Opus 5 | $0.00008 | $0.00536 |
| Sonnet 5 | $0.00003 | $0.00214 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
rich scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rich - Python 终端富文本和美化格式库
技能概述
本技能帮助用户使用 Rich 在 Python 终端程序中输出美观的富文本内容,支持以下场景:
- 彩色输出: 使用标记语法为文本添加颜色、样式和表情符号
- 表格渲染: 创建美观的 ASCII 表格,支持多种边框样式
- 进度条: 显示任务进度、下载进度、批量操作进度
- Markdown 渲染: 在终端中渲染 Markdown 文本
- 语法高亮: 对代码片段进行语法高亮显示
- 结构化日志: 替换标准 logging,输出格式化日志
- Python 对象美化打印: 替代 pprint,输出带颜色和折叠的对象
GitHub: https://github.com/Textualize/rich(56k+ Stars)
使用流程
AI 助手将引导你完成以下步骤:
- 安装 Rich(如未安装)
- 选择合适的组件(Console、Table、Progress 等)
- 编写代码并查看效果
- 根据需求调整样式和配置
关键章节导航
AI 助手能力
当你向 AI 描述终端输出需求时,AI 会:
- 自动生成对应的 Rich 代码片段
- 选择最合适的 Rich 组件(Table/Panel/Progress 等)
- 调整颜色、样式等视觉参数
- 集成到现有项目代码中
- 处理不同终端环境的兼容性问题
- 将 print/logging 替换为 Rich 输出
核心功能
- 支持 Console 对象统一管理终端输出
- 支持标记语法(Markup)设置文本样式
- 支持 16/256/True Color 颜色模式
- 支持 Table(表格)、Panel(面板)、Tree(树形)等渲染组件
- 支持 Progress(进度条)和 Live(动态刷新)
- 支持 Syntax(语法高亮)和 Markdown(文档渲染)
- 支持 Traceback(美化异常追踪)
- 支持 Inspect(对象检查)
- 支持 Logging Handler 集成
- 支持导出 HTML/SVG 终端截图
快速示例
# 最简单的用法 - 使用全局 print
from rich import print
print("[bold magenta]Hello[/bold magenta], [green]World[/green]! :sparkles:")
# 使用 Console 对象
from rich.console import Console
console = Console()
console.print("[bold]Rich[/bold] is [italic green]awesome[/italic green]!")
# 美化打印 Python 对象
from rich import pretty
pretty.install()
{"name": "rich", "stars": 56000, "features": ["color", "table", "progress"]}
# 渲染表格
from rich.console import Console
from rich.table import Table
console = Console()
table = Table(title="Python 包对比")
table.add_column("名称", style="cyan", no_wrap=True)
table.add_column("Stars", style="magenta")
table.add_column("用途", style="green")
table.add_row("rich", "56k+", "终端美化")
table.add_row("click", "14k+", "命令行解析")
table.add_row("typer", "13k+", "CLI 框架")
console.print(table)
# 进度条
from rich.progress import track
for step in track(range(100), description="处理中..."):
# 执行任务
pass
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 126 lines · 15 tokens per session scan A f2391cc55736
rich is a skill published in the GitHub repository CN-big-cabbage/github-skill-distiller (4 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 1,072 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
inferring-a-spell-from-examples
Use when the user invokes /capture-this-chat or /build-spell --from-transcript. Reads a transcript and produces a context dictionary plus a draft SKILL.md, which hands off to building-a-spell at Stage 2.
building-a-subagent-spell
Use when the meta-builder routes to kind=subagent. Generates a spell that dispatches one or more subagents to do work in parallel or in isolation.
intuitive-interviewing
Use when conducting any interview-style flow with a user (building a spell, refining one, gathering requirements). Picks depth, filters questions by relevance, matches against known shapes, and detects mid-stream pivots.
building-a-workflow-spell
Use when the meta-builder routes to kind=workflow. Generates a workflow spell with explicit stages, checkpoints, and loop-back conditions.
chaining-spells
Use when composing multiple spells into a chain that runs end-to-end (e.g. brainstorm -> plan -> execute -> verify).
discovering-spells
Use when browsing what spells are available - bundled seeds, your personal library, or both. Filter by kind, audience, or update status.