excel-iteration

excel-iteration is a skill for Claude Code, Codex from TangentDomain/excel-mcp-server. It costs 42 tokens per session (800 once invoked), scanned A, original, MIT.

A recurring workflow for checking and improving an Excel MCP server. MCP is a standard way for an AI coding tool to call external tools, and this workflow covers requirements, tests, performance checks, and reports.

In plain words
What is it for?
Inspecting the project, selecting open requirements, running Python checks and tests, reviewing tool coverage and performance, writing progress reports, and sending them to configured channels.
Why use it?
It turns repeated maintenance into a defined sequence, making it easier to find open work, verify the code, and record each iteration.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/tangentdomain/excel-mcp-server/root-docs
Any agent
npx skills add TangentDomain/excel-mcp-server --skill root-docs
Clone the repo
git clone --depth 1 https://github.com/TangentDomain/excel-mcp-server

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for excel-iteration

README.md
[![agentmods](https://agentmods.dev/badge/skills/tangentdomain/excel-mcp-server/root-docs.svg)](https://agentmods.dev/skills/tangentdomain/excel-mcp-server/root-docs)
Your own site
<a href="https://agentmods.dev/skills/tangentdomain/excel-mcp-server/root-docs"><img src="https://agentmods.dev/badge/skills/tangentdomain/excel-mcp-server/root-docs.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 800 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00042 $0.00800
Opus 5 $0.00021 $0.00400
Sonnet 5 $0.00008 $0.00160
Haiku 4.5 $0.00004 $0.00080

Measured 5d ago against content hash 5cb1d26f2e95, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

excel-iteration 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 5d 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.

docs/archive/root-docs/SKILL.md · 73 lines

What it actually says

Excel MCP 迭代 Skill

触发条件

  • cron定时触发(每小时)
  • 用户说"Excel迭代"、"运行Excel迭代"

项目信息

  • 路径/root/.openclaw/workspace/excel-mcp-server

每轮流程(K0-K4)

K0:环境准备与环境检查

  • /root/.openclaw/workspace/skills/excel-iteration/SKILL.md 了解任务
  • 检查excel-mcp-server目录是否存在:ls /root/.openclaw/workspace/excel-mcp-server/
  • 检查REQUIREMENTS.md是否存在,记录OPEN需求数量
  • 检查cron状态,确认任务能正常运行
  • 检查所有Python文件语法:python -m py_compile src/*.py
  • 创建 .step-K0.done 标记完成

K1:需求管理

  • /root/.openclaw/workspace/excel-mcp-server/REQUIREMENTS.md(如果存在)
  • 查找第一个 状态:OPEN 的需求
  • 按优先级执行需求(P0 > P1 > P2)
  • 更新REQUIREMENTS.md状态
  • 创建 .step-K1.done 标记完成

K2:编码/执行

  • 如果无OPEN需求,则执行Excel MCP核心任务:
    1. .cron-prompt.md 了解上轮状态
    2. docs/NOW.md 了解当前进展
    3. 运行测试检查(pytest tests/ -v
    4. 检查API工具完整性
    5. 运行性能基准测试
    6. 生成改进建议
  • 如果有编码任务,确保通过 python -m py_compile 检查语法
  • 创建 .step-K2.done 标记完成

K3:推送报告

  • 生成Excel MCP迭代报告,包含生态健康总览
  • 双渠道推送:
    • message(action=send, channel=feishu, target=ou_f87e1db600e058a4ccc89ce3053ec9d5, message=报告)
    • message(action=send, channel=qqbot, target=qqbot:c2c:AAE80456F09EFD98D108CE91DC2B5A73, message=报告)
  • 推送后回复 NO_REPLY
  • 创建 .step-K3.done 标记完成

K4:链式执行

  • 有OPEN需求 且 已连续执行<5轮 → 回到K0继续
  • 无OPEN需求 或 满5轮 → 结束

链式执行逻辑

  • 记录轮次号到 .round-number
  • 每轮递增,最多5轮
  • 满5轮后自动结束,等下一轮cron触发

核心任务

  • API工具完善
  • 性能优化
  • 文档同步
  • 测试覆盖率提升
  • 错误处理改进

红线

  1. 代码必须通过语法检查
  2. 推送报告不可跳过
  3. 所有时间用北京时间
  4. 必须有K0-K3步骤和step标记
  5. 无论哪步失败都必须推送报告
  6. 保持与现有功能兼容性
Files

What ships with it

5 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.

Changes

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.

  1. 5d ago First seen · 73 lines · 42 tokens per session scan A 5cb1d26f2e95

Subscribe to this mod's changes

excel-iteration is a skill published in the GitHub repository TangentDomain/excel-mcp-server (10 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 800 once invoked, about $0.0002 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.