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/TangentDomain/excel-mcp-servernpx agentmods add skills/tangentdomain/excel-mcp-server/excel-skillWrote 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/tangentdomain/excel-mcp-server/excel-skill)<a href="https://agentmods.dev/skills/tangentdomain/excel-mcp-server/excel-skill"><img src="https://agentmods.dev/badge/skills/tangentdomain/excel-mcp-server/excel-skill/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/tangentdomain/excel-mcp-server/excel-skill"><img src="https://agentmods.dev/badge/skills/tangentdomain/excel-mcp-server/excel-skill.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 | $0.00038 | $0.02137 |
| Opus 5.5 | $0.00015 | $0.00855 |
| Sonnet 5.5 | $0.00008 | $0.00427 |
| Haiku 4.5 | $0.00004 | $0.00214 |
Grade A, and why
excel 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.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Excel 配置表 Skill
游戏开发专用 Excel 配置表管理。SQL-over-Excel 引擎，26 个工具，支持高级 SQL 查询、批量操作、跨文件 JOIN。
调用方式
所有操作通过 CLI 可执行文件调用，输出 JSON。
优先使用打包二进制（无需 Python 环境）：
# 打包后的独立可执行文件（ZIP 包内 bin/excel-cli.exe 或 bin/excel-cli）
excel-cli <command> [options]
回退到 Python 源码（开发环境）：
python scripts/excel-cli.py <command> [options]
输出格式：{success: bool, data: Any, message: str, meta: dict}，退出码 0=成功 1=失败。
核心原则：SQL 优先
优先使用 query — 所有数据查询/分析任务
- 复杂条件筛选 → WHERE, LIKE, IN, BETWEEN, 子查询
- 聚合统计 → COUNT, SUM, AVG, MAX, MIN, GROUP BY, HAVING
- 多表关联 → 5 种 JOIN，支持跨文件
- 窗口函数 → ROW_NUMBER, RANK, DENSE_RANK
- 字符串函数 → UPPER, LOWER, TRIM, LENGTH, CONCAT, REPLACE, SUBSTRING
工具选择决策树
═══ 读数据 ═══
首选：所有数据查询/分析 → query（SQL 引擎，批量分析首选）
│
├─ 已知精确坐标（如 A1:C10）────────────→ get-range
├─ 快速了解表结构（列名+类型+样本值）───→ describe-table
├─ 只需表头信息（中文+英文）───────────→ get-headers（更轻量）
├─ 定位文本位置───────────────────────→ search（返回 row/column）
├─ 跨文件搜索─────────────────────────→ search-directory
└─ 查找末行（追加数据前必用）──────────→ find-last-row
═══ 写数据（选对工具！） ═══
┌─ 批量修改多行？（改 10 行以上/按条件）──→ update-query（SQL UPDATE）
│ 需要计算表达式 → SET 血量=血量*2
│ 需要预览 → --dry-run
│
├─ 精确坐标写入（知道具体 A1:C10）───────→ update-range
│ 默认覆盖！--insert-mode 才是追加
│ 安全追加？→ 先 find-last-row → 再 update-range --insert-mode
│
├─ 按 ID 改单行────────────────────────→ upsert-row
│ 存在则更新，不存在则插入，幂等安全
│
├─ 批量插入新行────────────────────────→ insert-query（SQL INSERT）
└─ 删行？
按条件删？→ delete-query（SQL DELETE，必须 WHERE）
按行号删？→ structure delete_rows
═══ 高级脚本 ═══
循环/复杂逻辑/重复操作？→ run-python（直接执行 Python 代码）
═══ 结构操作 ═══
文件？ → create-file
工作表？ → list-sheets / create-sheet / delete-sheet / rename-sheet / copy-sheet
行/列？ → structure（insert/delete rows+columns）
改列名？ → rename-column
行高/列宽？→ set-layout
═══ 格式化 ═══
样式/合并/边框？ → format-cells（字体+合并+边框+预设样式）
═══ 对比 & 备份 ═══
按 ID 对比两表？ → compare-sheets
备份恢复？ → backup（create/list/restore）
防错自查清单
| # | 自查问题 | 常见错误 | 正确做法 |
|---|---|---|---|
| 1 | 追加还是覆盖？ | update-range 追加忘了 --insert-mode | 追加→--insert-mode+先 find-last-row；覆盖→默认 |
| 2 | 一行还是批量？ | 改单行用 update-query | 单行→upsert-row；批量/条件→update-query |
| 3 | 范围含工作表名？ | 多表文件 cell_range="A1:C10" 报错 | 用 "Sheet名!A1:C10" |
| 4 | SQL 类型对吗？ | SELECT 传给 update-query | 查→query / 改→update-query / 增→insert-query / 删→delete-query |
| 5 | 写入后验证了？ | 写完不验证 | 写入→query 验证→有备份可恢复 |
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 · 179 lines · 38 tokens per session scan A 4c2558419f22
excel is a skill published in the GitHub repository TangentDomain/excel-mcp-server (11 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 2,137 once invoked, about $0.0002 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.
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