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/davidtoby/agent-skills/lark-sheetsnpx skills add davidtoby/agent-skills --skill lark-sheetsgit clone --depth 1 https://github.com/davidtoby/agent-skillsWrote 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/davidtoby/agent-skills/lark-sheets)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/lark-sheets"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/lark-sheets.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 5.1 | $0.00259 | $0.11144 |
| Opus 5 | $0.00130 | $0.05572 |
| Sonnet 5 | $0.00052 | $0.02229 |
| Haiku 4.5 | $0.00026 | $0.01114 |
Grade A, and why
lark-sheets 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 2d 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-sheets — 94% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sheets
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。
术语约定
下列词在本 skill 各文档中可能交替出现，但指同一对象；解析用户口语时按此映射，不要当成不同概念：
| 标准用语 | 同义 / 口语（均指同一对象） | 说明 |
|---|---|---|
| 工作表（sheet） | 子表、tab、标签页 | spreadsheet 内的单张表；sheet_id 是其稳定标识 |
| 电子表格（spreadsheet） | 工作簿、表格 | 顶层容器；由 --url 或 --spreadsheet-token 定位 |
| reference_id | id | 表内对象的稳定标识，即各对象主键 flag 接受的值（见下表）。⚠️ 与 lark-sheets-float-image 的 --image-uri（图片上传句柄）不是一回事，后者不属于 reference_id |
每类对象用各自的主键 flag 定位（命名不统一，按此表对照，不要凭直觉拼）：
| 对象 | 主键 flag | 对象 | 主键 flag |
|---|---|---|---|
| 工作表 sheet | --sheet-id |
条件格式规则 | --rule-id |
| 图表 chart | --chart-id |
筛选视图 | --view-id |
| 透视表 pivot | --pivot-table-id |
迷你图（按组） | --group-id |
| 浮动图片 | --float-image-id |
飞书表格编辑准则（动手前必守，所有编辑类任务一律生效）
下列准则横切所有飞书表格任务，动手前先过一遍——即使你是被索引直接路由进某个工具参考也一律生效。每条只给一句话纲要，展开与边界见括注的 reference。
- 最小改动：除任务要改的单元格 / 列外，原表其它单元格、行列结构、Sheet 名、合并区、格式 1:1 保持；中间结果放原数据右侧或新建空白 Sheet，禁止删 / 改名 / 隐藏 / 移动已存在 Sheet；改写类任务精确圈定行列，不该转的原值 1:1 保留。
- 真实写回 + 回读校验：交付必须是对在线表格的真实写入，写完用
+csv-get/+cells-get/+<对象>-list回读确认实际生效——写操作返回ok只代表请求被接受、不代表结果符合预期；写公式后查错误码、筛选 / 排序后核对前几行、删除 / 清空后确认已空。禁止只在文本里声称"已完成"。 - 读全再写：批量填充 / 补齐 / 修正类任务先确认真实数据末行再写，只探前 N 行会漏写表尾（确定末行流程见
lark-sheets-read-data）。 - 公式优先于硬编码：能用公式表达的计算（总计 / 占比 / 增长率 / 提取 / 查找）一律写公式而非静态值；凡可由表内其它单元格推导的派生值默认就用公式，即使用户没说"联动 / 自动更新"；写任何飞书公式前先读
lark-sheets-formula-translation，而且只要公式真实写入表格，收尾默认就要继续跑lark-sheets-formula-verify的+formula-verify，直到status='success'。 - 续写 / 扩展继承样式：续写、补齐、复制区块、新增行列时禁止只读值只写值，必须连带
cell_styles+border_styles+ 合并 + 行高一起继承（清单见lark-sheets-write-cells，四边框最易漏）。 - 多步写入合并
+batch-update：多个连续写入、或同一工具对多区域重复调用，合并为单次原子+batch-update（语义见lark-sheets-batch-update）。 - 分组汇总用透视表："按 X 统计 Y / 分组汇总 / 各类数量金额"用
+pivot-{create|update|delete}，禁止用 SUMIF / 本地脚本拼一张假透视表。 - 拆成可验证 checklist：落地前把指令拆成所有"独立可验证子要点"，逐点
assert全过才交付（多维排序每维一点、多目标每目标一点、范围类核起 / 末 / 边界）；只做第一个要点属违规。 - 全量处理前置断言条数：翻译 / 打标 / 批量公式落地等逐条任务，先把预期条数硬编码再
assert actual == expected，禁止输出"已完成前 N 条，剩余继续"的半成品。
What ships with it
20 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/lark-sheets-batch-update.md 15 KB
- references/lark-sheets-changeset.md 5.1 KB
- references/lark-sheets-chart.md 21 KB
- references/lark-sheets-conditional-format.md 11 KB
- references/lark-sheets-filter-view.md 7.8 KB
- references/lark-sheets-filter.md 7.2 KB
- references/lark-sheets-float-image.md 11 KB
- references/lark-sheets-formula-translation.md 14 KB
- references/lark-sheets-formula-verify.md 5.8 KB
- references/lark-sheets-history.md 5.1 KB
- references/lark-sheets-pivot-table.md 14 KB
- references/lark-sheets-range-operations.md 20 KB
- references/lark-sheets-read-data.md 23 KB
- references/lark-sheets-search-replace.md 5.3 KB
- references/lark-sheets-sheet-structure.md 11 KB
- references/lark-sheets-sparkline.md 7.3 KB
- references/lark-sheets-visual-standards.md 17 KB
- references/lark-sheets-workbook.md 26 KB
- references/lark-sheets-write-cells.md 55 KB
- scripts/sheets_df.py 1.1 KB runs code
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.
- 2d ago First seen · 235 lines · 259 tokens per session scan A 8c470db8e85b
lark-sheets is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 259 tokens to every session and 11,144 once invoked, about $0.0013 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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