A tool for creating, reading, and editing Feishu presentations, which are slide-based documents. It can manage whole presentations or make targeted changes to individual slides.

Use it to create presentations, read slide content, add or remove slides, and replace parts of a specific slide.

It provides a direct way to work with slide content without treating it as a regular document or file upload.

lark-slides — Skill for Claude Code and Codex by larksuite: A tool for creating, reading, and editing Feishu presentations…

Install

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.

agentmods

npx agentmods add skills/larksuite/cli/lark-slides

Any agent

npx skills add larksuite/cli --skill lark-slides

Clone the repo

git clone --depth 1 https://github.com/larksuite/cli

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/larksuite/cli/lark-slides.svg)](https://agentmods.dev/skills/larksuite/cli/lark-slides)

Your own site

<a href="https://agentmods.dev/skills/larksuite/cli/lark-slides"><img src="https://agentmods.dev/badge/skills/larksuite/cli/lark-slides.svg" alt="Measured on agentmods" height="20"></a>

Per session 156 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 7,970 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00156	$0.07970
Opus 5	$0.00078	$0.03985
Sonnet 5	$0.00031	$0.01594
Haiku 4.5	$0.00016	$0.00797

Measured 4d ago against content hash 1f49aad386ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lark-slides scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/iconpark_tool_test.py, scripts/iconpark_tool.py, scripts/sxsd_validator.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

8. **`<img src>` 只能用上传到飞书 drive 的 `file_token`，禁止使用 http(s) 外链 URL**：飞书 slides 渲染端不会代理外链图片，外链 src 在 PPT 里通常不显示或显示破图。流程必须是「先把图存到本地 → 用 `slides +media-upload` 上传，或在 `+create --slides` 的 XML 里写 `<img src="@./path">` 占位符自动上传

skills/lark-slides/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

slides (v1)

本技能文档较长，务必使用 Read 工具阅读两次，必须阅读完整全文。

权威经验

权威经验是全局硬约束和高频易错点，必须牢记并严格遵守。

你有充足的时间完成这个 PPT，质量永远比速度重要。
PPT 的尺寸是 960x540，必须严格确保主体内容在页面边界内。
!!!禁止交付无图产物!!! 必须使用大量图片增强视觉效果!!! 禁止重复使用同一张图!!!
封面页的主视觉必须是 <img>（来自生图工具或搜图工具），不要使用 <shape> 或 <icon> 拼出封面视觉。
禁止用 <shape> 和 <line> 拟形具体物项，必须使用生图工具生成的 <img>。
禁止在 headline 或 title 下方放置用于分隔或装饰的 rect 或 <line>。
禁止在任何页面内部使用无意义的装饰线条或色块条带，页面任何一边都不要使用贴边窄条。
生图工具的指令参数必须以“不要出现任何文字和颜色色号”结尾，避免生成的图片上出现干扰文字。
禁止使用 emoji 图标，任何位置都不能出现。
字号必须显式设置 <content> 的 fontSize 属性，不要依赖 textType 的默认字号兜底，这些兜底值明显偏大。
大数字、字号大或字数多的 <content> 必须设置 wrap="true" autoFit="normal-auto-fit" 属性自动换行和缩排，避免文字溢出。
文字颜色必须用 <content> 的 color 属性而不是 fontColor 属性。
文字行间距必须设置 <content> 的 lineSpacing="multiple:xx" 或 lineSpacing="fixed:xx" 而不是 lineSpacing="xx"。
图片必须用 <img> 而不是 <image>。
IconPark 图标必须填充颜色（设置 <fill><fillColor color="rgba(R,G,B,A)"/></fill>）并和背景有足够对比。
绘制图表时原生图表（柱状、条形、折线、面积、饼（环）、雷达、组合图）用 <chart>，其他（漏斗图、金字塔图、象限图、矩阵图等）用 <shape> + <line> 模拟。
隐藏 <chart> 的图例只能通过不写或删除 <chartLegend> 实现，<chartLegend> 不支持 position="none"。
表格优先用 rect 和 text 模拟，其他用 <table>，没有 <shape type="table">。
必须设置 <table> 的 width 和 height 固定表格大小，同时设置需要保留列宽或行高的 <col> 的 width 和 <tr> 的 height，其余自动分配。
<td> 直接子元素只有 <fill>（背景）、<content>（文字）和边框配置（一般不用），不能嵌套 <shape>、<img>、<icon>。
<shape type="rect"> 只是形状不是容器，<icon>、<img>、<shape type="text"> 和其他 <shape> 必须与它平级靠坐标叠放。
填充渐变颜色必须用 <fill><fillColor color="linear-gradient(135deg, rgba(R,G,B,A) 0%, rgba(R,G,B,A) 100%)"/></fill>。
编辑页面前必须阅读 workflow/slides-editing.md。
绘制图表前必须阅读 xml/slides_chart_demo.xml。
当用户要求无损复述历史上下文时，必须无损复述以上权威经验、必读的技能文档（需要重新阅读）和易错元素语法（尤其是 <table> 和 <chart>）。

豆包设计原则

适用范围：

普通内容页的设计必须以豆包设计原则为最高准则，除非用户要求使用模板或直接提供设计方案。
不适用于 title-cover、section-divider、conclusion、quote-highlight 和 big-number。

Read the full file on GitHub · 318 lines

Files

What ships with it

49 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.

Changes

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 · 318 lines · 156 tokens per session scan A 1f49aad386ac

Subscribe to this mod's changes

lark-slides is a skill published in the GitHub repository larksuite/cli (16,971 stars, last pushed today), licensed MIT. It adds 156 tokens to every session and 7,970 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

lark-slides