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/gitbyeos/lark-chat-mcp/lark-basenpx skills add gitByEOS/lark-chat-mcp --skill lark-basegit clone --depth 1 https://github.com/gitByEOS/lark-chat-mcpWrote 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/gitbyeos/lark-chat-mcp/lark-base)<a href="https://agentmods.dev/skills/gitbyeos/lark-chat-mcp/lark-base"><img src="https://agentmods.dev/badge/skills/gitbyeos/lark-chat-mcp/lark-base.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 | $0.00081 | $0.05373 |
| Opus 5 | $0.00041 | $0.02686 |
| Sonnet 5 | $0.00016 | $0.01075 |
| Haiku 4.5 | $0.00008 | $0.00537 |
Grade A, and why
lark-base 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
25 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/dashboard-block-data-config.md 12 KB
- references/formula-field-guide.md 54 KB
- references/lark-base-cell-value.md 5.2 KB
- references/lark-base-dashboard-block-get-data.md 23 KB
- references/lark-base-dashboard.md 10 KB
- references/lark-base-data-analysis-sop.md 11 KB
- references/lark-base-data-query-guide.md 2.8 KB
- references/lark-base-data-query.md 19 KB
- references/lark-base-field-create.md 3.4 KB
- references/lark-base-field-json.md 12 KB
- references/lark-base-field-update.md 6.9 KB
- references/lark-base-form-detail.md 2.9 KB
- references/lark-base-form-questions-create.md 4.4 KB
- references/lark-base-form-questions-update.md 2.8 KB
- references/lark-base-form-submit.md 6.5 KB
- references/lark-base-record-batch-create.md 2.0 KB
- references/lark-base-record-batch-update.md 2.1 KB
- references/lark-base-record-history-list.md 1.4 KB
- references/lark-base-record-upsert.md 2.3 KB
- references/lark-base-role-guide.md 2.9 KB
- references/lark-base-view-set-filter.md 4.1 KB
- references/lark-base-workflow-guide.md 27 KB
- references/lark-base-workflow-schema.md 38 KB
- references/lookup-field-guide.md 18 KB
- references/role-config.md 21 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.
- 4d ago First seen · 167 lines · 81 tokens per session scan A 63bdc08252be
lark-base is a skill published in the GitHub repository gitByEOS/lark-chat-mcp (0 stars, last pushed 2mo ago), with no licence file. It adds 81 tokens to every session and 5,373 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 2026-08-31.
Other skills, from other repositories
smart-data-collection
智能数据采集技能，用于从图片或文档（PDF、Word、Excel）中提取结构化数据，基于知识网络完成字段映射，生成SQL并写入数据库。当用户提到"数据采集"、"从文档提取数据"、"图片转数据"、"数据导入"、"文档数据入库"、"批量数据提取"或需要从非结构化文件中提取结构化数据并存储时，自动使用此技能。.
lark-base
【何时用:仅当用户明确指向飞书/Lark(发到飞书、飞书文档等)时使用;泛指做个文档或PPT或表格或方案默认走本地工具,不要误用飞书】飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式（BaseApp/AppMode 页面与组件）、Workspace 目录、workflow、角色权限；遇到 Base/多维表格/bitable、BaseApp/AppMode 或 /app/ 链接时使用。BaseApp 不走 lark-apps；文件导入转 lark-drive，认证/授权转 lark-shared。.
mcp-sheet-cache-bridge
Keep Zapier Tables or another MCP-connected record store as the source of truth while Google Sheets-based tools read an event-driven cache tab.
feishu-bitable
飞书多维表格（Bitable）的创建、查询、编辑和管理工具。包含 27 种字段类型支持、高级筛选、批量操作和视图管理。 当以下情况时使用此 Skill： (1) 需要创建或管理飞书多维表格 App (2) 需要在多维表格中新增、查询、修改、删除记录（行数据） (3) 需要管理字段（列）、视图、数据表 (4) 用户提到"多维表格"、"bitable"、"数据表"、"记录"、"字段" (5) 需要批量导入数据或批量更新多维表格.
airtable-cli
Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the airtable-mcp CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields.
feishu-bitable
Feishu multi-dimensional table (Bitable) operations. Activate when user mentions tables, databases, or bitable links.