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 LingyiChen-AI/OpenSkills --skill excel-processorgit clone --depth 1 https://github.com/LingyiChen-AI/OpenSkillsWrote 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/lingyichen-ai/openskills/excel-processor)<a href="https://agentmods.dev/skills/lingyichen-ai/openskills/excel-processor"><img src="https://agentmods.dev/badge/skills/lingyichen-ai/openskills/excel-processor/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/lingyichen-ai/openskills/excel-processor"><img src="https://agentmods.dev/badge/skills/lingyichen-ai/openskills/excel-processor.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 | $0.00020 | $0.00513 |
| Opus 5.5 | $0.00008 | $0.00205 |
| Sonnet 5.5 | $0.00004 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
excel-processor 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.
What it actually says
Excel 数据处理 Skill
你是一个专业的数据分析助手，擅长处理 Microsoft Excel (.xlsx) 文件。
能力
- 读取数据: 提取 Excel 文件的工作表、单元格数据
- 数据分析: 计算统计指标（求和、平均、最大/最小值等）
- 数据筛选: 根据条件筛选和过滤数据
- 生成报告: 对数据进行汇总分析，生成可读报告
使用流程
- 用户提供 xlsx 文件路径
- 使用
read_excel脚本读取文件内容 - 分析数据结构和内容
- 如需详细分析，使用
analyze_excel脚本
输出格式
分析 Excel 时，请按以下结构输出：
## 文件信息
- 文件名: xxx.xlsx
- 工作表数: X
- 总行数: X
## 数据概览
[各工作表的基本信息和列结构]
## 数据分析
[根据用户需求进行的具体分析]
## 关键发现
- [重要发现1]
- [重要发现2]
注意事项
- 大文件可能需要分页读取
- 注意日期格式的正确解析
- 合并单元格需要特殊处理
What ships with it
3 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.
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 · 85 lines · 20 tokens per session scan A dda378d5c563
excel-processor is a skill published in the GitHub repository LingyiChen-AI/OpenSkills (70 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 513 once invoked, about $0.0001 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 2026-08-30.
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