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 liyecom/liye-ai --skill csv-summarizergit clone --depth 1 https://github.com/liyecom/liye-aiWrote 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/liyecom/liye-ai/csv-summarizer)<a href="https://agentmods.dev/skills/liyecom/liye-ai/csv-summarizer"><img src="https://agentmods.dev/badge/skills/liyecom/liye-ai/csv-summarizer/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/liyecom/liye-ai/csv-summarizer"><img src="https://agentmods.dev/badge/skills/liyecom/liye-ai/csv-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00014 | $0.00886 |
| Opus 5 | $0.00007 | $0.00443 |
| Sonnet 5 | $0.00003 | $0.00177 |
| Haiku 4.5 | $0.00001 | $0.00089 |
Grade A, and why
csv-summarizer 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 9d 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
CSV Data Summarizer
来源: ComposioHQ/awesome-claude-skills 适配: LiYe OS 三层架构
自动分析 CSV 文件并生成综合洞察报告，无需用户手动提示即可识别数据模式并创建可视化。
When to Use This Skill
当 Claude 需要分析 CSV 数据时：
- 自动生成数据摘要和统计
- 识别数据中的模式和趋势
- 检测异常值
- 创建数据可视化
- 生成分析报告
Core Capabilities
1. 自动数据摘要
- 数据类型识别
- 缺失值检测
- 数据质量评估
- 基础统计量计算
2. 统计分析
- 均值、中位数、标准差
- 分位数分布
- 相关性分析
- 分组统计
3. 异常值检测
- 基于统计方法的异常识别
- 离群点标记
- 数据质量警告
4. 趋势识别
- 时间序列分析
- 增长/下降趋势
- 周期性模式识别
- 预测建议
5. 自动可视化
- 分布直方图
- 趋势折线图
- 相关性热力图
- 分类对比图
Usage Examples
示例 1: 销售数据分析
用户: 分析这个销售数据 CSV
Claude: [使用 csv-summarizer 自动生成销售趋势、Top 产品、异常订单等洞察]
示例 2: 关键词性能分析
用户: 帮我分析这份关键词报表的性能
Claude: [使用 csv-summarizer 计算各关键词的 CTR、转化率，标记异常值]
示例 3: 用户行为分析
用户: 从这个用户数据中找出有价值的洞察
Claude: [使用 csv-summarizer 生成用户分群、行为模式、留存分析]
Dependencies
- Python: pandas, matplotlib, seaborn, scipy
- 或 Node.js: csv-parse, chart.js
LiYe OS Integration
业务域引用
此技能被以下业务域引用：
- 07_Data_Science: 通用数据分析（主域）
- 02_Operation_Intelligence: Amazon 运营报表分析
三层架构位置
- 物理层 (本文件): Skills/00_Core_Utilities/data-analysis/csv-summarizer/
- 逻辑层索引: Skills/{domain}/index.yaml
- L3 指令层: .claude/skills/{domain}/csv-summarizer/
Created: 2025-12-28 | Adapted for LiYe OS
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.
- 9d ago First seen · 121 lines · 14 tokens per session scan A bae9847d449b
csv-summarizer is a skill published in the GitHub repository liyecom/liye-ai (33 stars, last pushed yesterday), licensed Apache-2.0. It adds 14 tokens to every session and 886 once invoked, about $0.0001 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 2026-08-30.
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