Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DropFan/claude-code-pluginsnpx agentmods add skills/dropfan/claude-code-plugins/lark-sheetsWrote 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/dropfan/claude-code-plugins/lark-sheets)<a href="https://agentmods.dev/skills/dropfan/claude-code-plugins/lark-sheets"><img src="https://agentmods.dev/badge/skills/dropfan/claude-code-plugins/lark-sheets/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/dropfan/claude-code-plugins/lark-sheets"><img src="https://agentmods.dev/badge/skills/dropfan/claude-code-plugins/lark-sheets.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 | $0.00297 | $0.08412 |
| Opus 5.5 | $0.00119 | $0.03365 |
| Sonnet 5.5 | $0.00059 | $0.01682 |
| Haiku 4.5 | $0.00030 | $0.00841 |
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 25d 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
94% identical to lark-sheets — 244 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 — 151 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。）
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。
场景 → 命令速查
按当前动作选行；下一步必须 Read 该行 reference，读取完成前不得执行命令。只读命中的文档；含公式 / 样式等横切动作时再读对应规范，禁止用目录枚举代替 Read。
| 你要做的事 | ✅ 正确写法 | 动手前读（先 Read 再动手） |
|---|---|---|
| 读数据 | +csv-get（纯值/CSV）、+cells-get（公式/样式/批注） |
读 references/lark-sheets-read-data.md |
| 写入数据 | +csv-put（无类型歧义纯文本）、+table-put（typed；量值/真日期；标签/编号/前导零/文本数字用 object，禁裸 csv-put）、+cells-set（公式/富写入）、+cells-set-style（样式）、+cells-set-image（单元格图片） |
读 references/lark-sheets-write-cells.md |
| 格式继承（新列/新行） | 物理插行 / 插列用 +dim-insert --inherit-style before|after；往已有空白区域扩写用 +range-copy --paste-type formats 先铺样式再写值 |
读 references/lark-sheets-range-operations.md；插行插列再读 references/lark-sheets-sheet-structure.md |
| 工作簿操作 | +workbook-create、+workbook-info、+workbook-import、+sheet-copy、+revision-get、+workbook-export |
读 references/lark-sheets-workbook.md |
| 行列操作 | 排序用 +range-sort 原子移动整行；合并 / 取消合并用 +cells-merge / +cells-unmerge；清空内容才用 +cells-clear；尺寸用 +cols-resize / +rows-resize |
读 references/lark-sheets-range-operations.md；涉结构布局再读 references/lark-sheets-sheet-structure.md |
| 美化收尾 | +styles-put |
读 references/lark-sheets-styles-put.md |
| 子表结构 | +sheet-info、+dim-insert；删整行 / 列用 +dim-delete，不能用 clear 代替 |
读 references/lark-sheets-sheet-structure.md |
| 画图表 / 可视化 / 柱状图 / 折线图 / 饼图 / 趋势 / 占比 | 单图用 +chart-create-basic，多图用扁平输入的 +batch-chart-create；改已有图的数据源用 +chart-data-update、配置用 +chart-config-update；只有语义 shortcut 表达不了的单系列 / 单数据点 / 高级字段才用 +chart-create / +chart-update，且只提交必要的局部 properties。动手前先断言每张图的类型、横轴字段、分组字段和目标张数，画完 +chart-list 逐项核；图片迁移成真图表后删除并复查原浮动图片 |
读 references/lark-sheets-chart.md；含透视 / 分组汇总再读 references/lark-sheets-pivot-table.md |
| 分组汇总 / 透视 | +pivot-create |
读 references/lark-sheets-pivot-table.md |
| 筛选 / 只看符合条件的行 | +filter-create |
读 references/lark-sheets-filter.md |
| 查找 / 替换文本 | +cells-search、+cells-replace |
读 references/lark-sheets-search-replace.md |
| 条件格式 / 条件高亮 / 数据条 / 色阶 | 随数据变化的标色用 +cond-format-create；固定刷色只用于用户点名要静态着色 |
读 references/lark-sheets-conditional-format.md |
| 插图：自由摆放的装饰 | +float-image-create |
读 references/lark-sheets-float-image.md |
| 迷你图 / 单元格内趋势线 | +sparkline-create |
读 references/lark-sheets-sparkline.md |
| 批量清除多区域 | +cells-batch-clear |
读 references/lark-sheets-batch-update.md（high-risk） |
| 复核编辑变更 / 取版本间差异 | +changeset-get |
读 references/lark-sheets-changeset.md |
| 保存多份筛选状态 / 命名筛选视图 | +filter-view-create；视图与 +filter-create 相互独立、可在同一子表共存 |
读 references/lark-sheets-filter-view.md |
| 查编辑历史 / 回滚到历史版本 | +history-list 取版本，+history-revert（high-risk，异步）回滚后用 +history-revert-status 轮询 |
读 references/lark-sheets-history.md |
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.
- references/lark-sheets-batch-update.md 19 KB
- references/lark-sheets-changeset.md 5.1 KB
- references/lark-sheets-chart.md 51 KB
- references/lark-sheets-conditional-format.md 14 KB
- references/lark-sheets-filter-view.md 7.9 KB
- references/lark-sheets-filter.md 7.5 KB
- references/lark-sheets-float-image.md 11 KB
- references/lark-sheets-formula-translation.md 28 KB
- references/lark-sheets-formula-verify.md 12 KB
- references/lark-sheets-history.md 5.1 KB
- references/lark-sheets-pivot-table.md 15 KB
- references/lark-sheets-range-operations.md 21 KB
- references/lark-sheets-read-data.md 37 KB
- references/lark-sheets-search-replace.md 5.8 KB
- references/lark-sheets-sheet-structure.md 14 KB
- references/lark-sheets-sparkline.md 7.5 KB
- references/lark-sheets-styles-put.md 7.8 KB
- references/lark-sheets-visual-standards.md 19 KB
- references/lark-sheets-workbook.md 29 KB
- references/lark-sheets-write-cells.md 62 KB
- scripts/lark_chart_quality_check.py 57 KB runs code
- scripts/lark_chart_size_advisor.py 14 KB runs code
- scripts/lark_chart_size_rules.py 10 KB runs code
- scripts/lark_detect_subtables.py 22 KB runs code
- scripts/lark_inspect_workbook.py 8.9 KB runs code
- scripts/lark_profile_table.py 22 KB runs code
- scripts/lark_sheet_range.py 5.3 KB runs code
- scripts/lark_sheet_read_cli.py 8.6 KB runs code
- scripts/lark_sheets_df.py 2.0 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.
- 25d ago Changed · -95 lines · +38 tokens per session 6a02f176828b
- 1mo ago First seen · 246 lines · 259 tokens per session scan A 1b4bd0aff3ce
lark-sheets is a skill published in the GitHub repository DropFan/claude-code-plugins (8 stars, last pushed 26d ago), licensed MIT. It adds 297 tokens to every session and 8,412 once invoked, about $0.0012 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to lark-sheets, differing in 244 lines, and is treated as a copy.
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