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 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/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/gitbyeos/lark-chat-mcp/lark-base"><img src="https://agentmods.dev/badge/skills/gitbyeos/lark-chat-mcp/lark-base.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00081 | $0.05373 |
| Opus 5.5 | $0.00032 | $0.02149 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 4mo ago), with no licence file. It adds 81 tokens to every session and 5,373 once invoked, about $0.0003 per session on Opus 5.5. 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
lark-base
A guide for managing Lark Base, Feishu's spreadsheet-like database and workspace tool. It covers tables, fields, records, views, formulas, forms, dashboards, applications, workflows, and permissions.
smart-data-collection
A workflow for extracting structured information from images and documents such as PDFs, Word files, and spreadsheets, then storing it in a database.
feishu-bitable
A skill for managing Feishu Bitable, a database-like spreadsheet for organising structured records. It supports tables, fields, views, filters, and bulk changes.
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.
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.