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 appleweiping/WEIPING_WIKI --skill lark-whiteboardgit clone --depth 1 https://github.com/appleweiping/WEIPING_WIKIWrote 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/appleweiping/weiping_wiki/lark-whiteboard)<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-whiteboard"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-whiteboard/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/appleweiping/weiping_wiki/lark-whiteboard"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-whiteboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 7 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 16 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 127 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 135 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00194 | $0.02135 |
| Opus 5 | $0.00097 | $0.01068 |
| Sonnet 5 | $0.00039 | $0.00427 |
| Haiku 4.5 | $0.00019 | $0.00214 |
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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- lark-whiteboard — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT]
- 运行
lark-cli --version,确认可用,无需询问用户。- 运行
npx -y @larksuite/whiteboard-cli@^0.2.11 -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
| 用户需求 | 行动 |
|---|---|
| 查看画板内容 / 导出图片 | +query --output_as image |
| 获取画板的 Mermaid/PlantUML 代码 | +query --output_as code |
| 检查画板是否由代码绘制 | +query --output_as code |
| 修改节点文字/颜色(简单改动) | +query --output_as raw → 手动改 JSON → +update --input_format raw |
| 用户已提供 Mermaid/PlantUML 代码,或明确指定用该格式 | 自己生成/使用代码 → +update --input_format mermaid/plantuml |
| 绘制复杂图表(架构/流程/组织等) | → § 创作 Workflow |
| 修改/重绘已有复杂画板 | → § 修改 Workflow |
⚠️ 强制规范(通过 stdin 更新): 数据来源于本地文件时,必须使用
--source - --input_format <格式>。 例:cat chart.mmd | lark-cli whiteboard +update <token> --source - --input_format mermaid
Shortcuts
| Shortcut | 说明 |
|---|---|
+query |
查询画板,导出为预览图片、代码或原始节点结构 |
+update |
更新画板,支持 PlantUML、Mermaid 或 OpenAPI 原生格式 |
创作 Workflow
此 workflow 用于独立创作一个画板。 需要在文档中批量创建多个画板时,由 lark-doc 负责调度,见
lark-doc技能的references/lark-doc-whiteboard.md。
Step 1:获取 board_token
| 用户给了什么 | 怎么获取 |
|---|---|
直接给了 whiteboard token(wbcnXXX) |
直接使用 |
| 文档 URL 或 doc_id,文档中已有画板 | lark-cli docs +fetch --api-version v2 --doc <URL> --as user,从返回的 <whiteboard token="xxx"/> 提取 |
| 文档 URL 或 doc_id,需要新建画板 | lark-cli docs +update --api-version v2 --doc <doc_id> --command append --content '<whiteboard type="blank"></whiteboard>' --as user,从响应 data.new_blocks[0].block_token 取得(block_type == "whiteboard" 的那条;参数详见 lark-doc SKILL.md) |
Step 2:渲染 & 写入
→ 进入 § 渲染 & 写入画板 章节,按流程完成后直接返回结果给用户。
修改 Workflow
Step 1:获取 board_token(同创作 Workflow Step 1)
What ships with it
27 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.
- references/connectors.md 5.5 KB
- references/content.md 1.5 KB
- references/image.md 4.3 KB
- references/lark-whiteboard-query.md 2.1 KB
- references/lark-whiteboard-update.md 3.6 KB
- references/layout.md 19 KB
- references/schema.md 15 KB
- references/style.md 11 KB
- references/typography.md 2.1 KB
- routes/dsl.md 6.6 KB
- routes/mermaid.md 1.1 KB
- routes/svg.md 3.5 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.
- 6d ago First seen · 145 lines · 194 tokens per session scan A d7e6a5f48795
lark-whiteboard is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 15d ago), licensed MIT. It adds 194 tokens to every session and 2,135 once invoked, about $0.0010 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 2026-09-03.
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