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/dropfan/claude-code-plugins/lark-whiteboardnpx skills add DropFan/claude-code-plugins --skill lark-whiteboardgit clone --depth 1 https://github.com/DropFan/claude-code-pluginsWhat 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 | $0.00104 | $0.01008 |
| Opus 5 | $0.00052 | $0.00504 |
| Sonnet 5 | $0.00021 | $0.00202 |
| Haiku 4.5 | $0.00010 | $0.00101 |
Grade A, and why
lark-whiteboard 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 3d 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.
This is a copy
88% identical to lark-whiteboard — 34 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚙️ Cowork / Claude Desktop 执行环境说明（自动注入）
本技能依赖本地
lark-cli（@larksuite/cli，可用command -v lark-cli定位）及其~/.lark-cli登录态（应用密钥存于 macOS keychain）。在 Cowork 中运行任何
lark-cli命令时，必须在本地 macOS 上执行（使用 Desktop Commander 的start_process/interact_with_process，或其它本地 shell 工具），不要用隔离的 Linux 沙箱mcp__workspace__bash——沙箱里没有 lark-cli、也读不到 keychain。 执行前确保 npm 全局 bin 目录（npm prefix -g输出目录下的bin）在 PATH 中。（在 Claude Code 中可忽略本说明，lark-cli 在本机 shell 直接可用。）
[!IMPORTANT]
- 运行
lark-cli --version，确认可用，无需询问用户。- 运行
npx -y @larksuite/whiteboard-cli@^0.2.13 -v，确认可用，无需询问用户。
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理
快速决策
身份：画板操作默认使用 --as user。仅当需要以应用身份上传时使用 --as bot。
| 用户需求 | 行动 |
|---|---|
| 查看画板内容 / 导出图片 | +export --output-type preview |
| 导出 SVG 矢量图 | +export --output-type svg |
| 获取画板的 Mermaid/PlantUML 代码 | +export --output-type source |
| 检查画板是否由代码绘制 | +export --output-type source |
| 仅微调节点文字/颜色 | +export --output-type raw → 手动改 JSON → +update --input_format raw |
| 用户已提供 Mermaid/PlantUML/SVG 代码，或明确指定用该格式 | 自己生成/使用代码 → +update --input_format mermaid/plantuml/svg |
| 新建/创作复杂图表（架构/流程/组织等） | → § 创作 Workflow |
| 修改/重绘已有画板 | → § 修改 Workflow |
What ships with it
29 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.
- elements/connectors.md 5.5 KB
- elements/content.md 1.5 KB
- elements/image.md 4.3 KB
- elements/layout.md 19 KB
- elements/schema.md 15 KB
- elements/style.md 11 KB
- elements/typography.md 2.1 KB
- references/lark-whiteboard-export.md 3.1 KB
- references/lark-whiteboard-update.md 4.4 KB
- references/lark-whiteboard-workflow.md 4.7 KB
- routes/dsl.md 6.5 KB
- routes/mermaid.md 1.1 KB
- routes/svg-edit.md 3.3 KB
- routes/svg.md 4.4 KB
- scenes/architecture.md 22 KB
- scenes/bar-chart.md 7.8 KB
- scenes/comparison.md 7.4 KB
- scenes/fishbone.md 9.6 KB
- scenes/flowchart.md 11 KB
- scenes/flywheel.md 8.6 KB
- scenes/funnel.md 4.2 KB
- scenes/line-chart.md 9.4 KB
- scenes/mermaid.md 3.4 KB
- scenes/milestone.md 4.0 KB
- scenes/organization.md 8.2 KB
- scenes/photo-showcase.md 6.0 KB
- scenes/pyramid.md 3.9 KB
- scenes/swimlane.md 20 KB
- scenes/treemap.md 6.3 KB
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.
- 3d ago First seen · 60 lines · 104 tokens per session scan A afafbda182bc
lark-whiteboard is a skill published in the GitHub repository DropFan/claude-code-plugins (7 stars, last pushed 27d ago), licensed MIT. It adds 104 tokens to every session and 1,008 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to lark-whiteboard, differing in 34 lines, and is treated as a copy.
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