What makes Data Analysis Zh notable?

1.6K downloads. Trust evidence available

How should Data Analysis Zh be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Data Analysis Zh

数据分析助手，从原始数据中提取洞察、生成可视化建议和分析报告。适用于销售数据分析、用户行为分析、财务数据解读、运营指标拆解等场景。解决"数据太多不知道看哪里"、 "帮我做数据分析"、"数据报告怎么写"、"这份数据有什么规律"等问题。支持 Excel / CSV / 数据库查询结果等多种输入格式，兼容 WPS... Skill: Data Analysis Zh Owner: olina1ye Summary: 数据分析助手，从原始数据中提取洞察、生成可视化建议和分析报告。适用于销售数据分析、用户行为分析、财务数据解读、运营指标拆解等场景。解决"数据太多不知道看哪里"、 "帮我做数据分析"、"数据报告怎么写"、"这份数据有什么规律"等问题。支持 Excel / CSV / 数据库查询结果等多种输入格式，兼容 WPS... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-21T03:20:49.067Z | auto data-analysis-zh 1.0.0 - 首次发布：提供中文数据分析助手，支持多种数据源格式（Excel、CSV、数据库查询结果）。 - 可自动提取业务洞察，结构化生成分析报告和可视化建议。 - 适用多场景：销售、用户行为、财务与运营指标分析。 - 兼容 WP

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.6k

Updated

Oct 10, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.6K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.0release · observed May 21, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17c423ncqkkcaew3mz0emf44n83t98e:data-analysis-zh

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-olina1ye-data-analysis-zh/snapshot"

Documentation

CLAWHUB

3,190 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: data-analysis-zh
description: >
  数据分析助手，从原始数据中提取洞察、生成可视化建议和分析报告。适用于销售数据分析、
  用户行为分析、财务数据解读、运营指标拆解等场景。解决"数据太多不知道看哪里"、
  "帮我做数据分析"、"数据报告怎么写"、"这份数据有什么规律"等问题。
  支持 Excel / CSV / 数据库查询结果等多种输入格式，兼容 WPS 表格与 Microsoft Excel。
tags: [数据分析, data-analysis, 数据洞察, 分析报告, 运营分析, 业务分析, 数据可视化]
---

# 数据分析助手

从原始数据中提取业务洞察，生成结构化分析报告和可视化建议。

## Tools Required
- read

## Usage

- "帮我分析这份销售数据，找出增长最快的产品和下滑的原因"
- "这些用户行为数据有什么规律，帮我总结关键指标"
- "根据这个季度的运营数据，写一份带结论和建议的分析报告"

## Examples

输入：`这是我们上个月的销售明细表（Excel），帮我找出销售额前三的品类，以及周环比变化趋势`

输出：
- 销售额 Top3 品类及占比
- 各品类周环比变化表格
- 异常波动原因分析（若有）
- 下月重点关注建议

_meta.json

{
  "ownerId": "kn744s807862nvpza3kw1jy8fn83eqbc",
  "slug": "data-analysis-zh",
  "version": "1.0.0",
  "publishedAt": 1779333649067
}

skill-card.md

## Description:

Data Analysis Zh helps Chinese-speaking users analyze Excel, CSV, and database query results to extract business insights, visualization suggestions, and structured analysis reports.

This skill is ready for commercial/non-commercial use.

## Publisher:

[olina1ye](https://clawhub.ai/user/olina1ye)

### License/Terms of Use:

MIT-0

## Use Case:

External users use this skill to turn sales, user behavior, finance, and operations data into concise Chinese-language analysis, report structure, charts to consider, and next-step recommendations.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Data analysis may involve sensitive business, financial, or operational data.

Mitigation: Only provide files or query results that the user is authorized to share with the agent.

Risk: Generated insights, anomaly explanations, or recommendations may be incomplete or misleading if the input data is incomplete or ambiguous.

Mitigation: Review the generated analysis against source data and business context before using it for decisions.

## Reference(s):


## Skill Output:

**Output Type(s):** [Text, Markdown, Guidance]

**Output Format:** [Markdown analysis report with lists and tables]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Uses user-provided data files or query results; no code execution, persistence, external calls, or hidden behavior are indicated by the security evidence.]

## Skill Version(s):

1.0.0 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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