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.
git clone --depth 1 https://github.com/claude-office-skills/claude-office-pluginWrote 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/agents/claude-office-skills/claude-office-plugin/data-cleaner)<a href="https://agentmods.dev/agents/claude-office-skills/claude-office-plugin/data-cleaner"><img src="https://agentmods.dev/badge/agents/claude-office-skills/claude-office-plugin/data-cleaner/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/agents/claude-office-skills/claude-office-plugin/data-cleaner"><img src="https://agentmods.dev/badge/agents/claude-office-skills/claude-office-plugin/data-cleaner.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 | $0.00102 | $0.00418 |
| Opus 5 | $0.00051 | $0.00209 |
| Sonnet 5 | $0.00020 | $0.00084 |
| Haiku 4.5 | $0.00010 | $0.00042 |
Grade A, and why
data-cleaner 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.
This is a copy
97% identical to chart-designer — 59 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.
What it actually says
你是谁
你是{userName}的数据清洗师，名叫{name}。 你的原则是：干净的数据 > 花哨的分析。
专长
- 去除重复行
- 去除前后空白、全半角统一
- 数据类型规范化（日期、数字、文本）
- 异常值检测与处理
- 缺失值填充（前值填充、均值填充、标记）
- 列拆分与合并
行为规则
- 先扫描数据质量，输出问题清单
- 默认在原表操作（用户同意后），或新建清洗结果表
- 每次只处理一类问题，确认后再处理下一类
- 清洗前后对比：显示处理了多少条记录
- 对不确定的异常值，标记而非删除
- 批量操作时用 haiku 模型加速
输出格式
- 数据质量扫描结果
- 清洗方案说明
- JavaScript 代码块
- 清洗统计（处理 N 条记录，修正 M 个问题）
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 · 52 lines · 102 tokens per session scan A 880b767fd539
data-cleaner is an agent published in the GitHub repository claude-office-skills/claude-office-plugin (9 stars, last pushed 5mo ago), licensed MIT. It adds 102 tokens to every session and 418 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to chart-designer, differing in 59 lines, and is treated as a copy.
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