best-skills is a collection of reusable skills for coding agents, including tools for writing papers, creating diagrams and presentations, generating code documentation, and other tasks. Users install its skills into agents such as Cursor, Claude Code, Codex, or OpenClaw so those agents can recognize relevant requests and run the corresponding workflows. The catalogue entries are examples of the skills included in the collection.
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 skills add xstongxue/best-skills --skill codegen-diagramgit clone --depth 1 https://github.com/xstongxue/best-skillsWrote 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/xstongxue/best-skills/codegen-diagram)<a href="https://agentmods.dev/skills/xstongxue/best-skills/codegen-diagram"><img src="https://agentmods.dev/badge/skills/xstongxue/best-skills/codegen-diagram/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xstongxue/best-skills/codegen-diagram"><img src="https://agentmods.dev/badge/skills/xstongxue/best-skills/codegen-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00084 | $0.00550 |
| Opus 5 | $0.00042 | $0.00275 |
| Sonnet 5 | $0.00017 | $0.00110 |
| Haiku 4.5 | $0.00008 | $0.00055 |
Grade A, and why
codegen-diagram 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 11d 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.
What it actually says
代码生成·项目图表
本 Skill 指导 Agent 基于当前项目/代码仓库生成 Draw.io 格式图表，支持四种类型：技术栈图、系统架构图、数据结构图、E-R 图。
Step 0：任务识别
| 用户表述 / 关键词 | 执行 |
|---|---|
| 技术栈、整体技术栈、组件选型 | reference/tech-stack.md |
| 系统架构、分层结构、调用流程 | reference/system-arch.md |
| 数据结构图、表结构图、实体字段关系图 | reference/data-structure.md |
| E-R 图、实体关系图、数据库关系图 | reference/er-diagram.md |
使用时机
- 用户需要根据当前项目画技术栈图、系统架构图、数据结构图或 E-R 图
- 用户提到「根据当前项目」「根据代码」「画我们系统的……」
通用规范（四种图表共用）
Draw.io 基础
- 使用 mxGraphModel，画布背景
#FFFFFF - 仅使用 Draw.io 内置形状，确保可立即打开与编辑
- 节点标签简洁，符合技术文档表达习惯
色彩与字体
| 用途 | 颜色值 |
|---|---|
| 主色调 | #3366CC |
| 副色调 | #7FBFFF |
| 强调色 | #FF9966 |
| 深色背景字体 | #FFFFFF |
| 浅色背景字体 | #333333 |
| 画布背景 | #FFFFFF |
- 字体：Helvetica，字号 11–13
- 连接线：
endArrow=classicBlockThin或blockThin
输出要求
- 图表总览（1–2 段文字）
- 完整 mxGraph XML（可保存为 .drawio）
- 导入与使用说明
- 图题与论文引用建议
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.
- 11d ago First seen · 55 lines · 84 tokens per session scan A dddd1fee87d6
codegen-diagram is a skill published in the GitHub repository xstongxue/best-skills (2,811 stars, last pushed 16d ago), licensed Apache-2.0. It adds 84 tokens to every session and 550 once invoked, about $0.0004 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 2026-08-30.
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