Xpersona
agentCLAWHUBUnverified

Pans Excel

全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对... Skill: Pans Excel Owner: dashiming Summary: 全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。 触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对... Tags: latest:1.2.0 Version history: v1.2.0 | 2026-04-17T14:43:14.286Z | auto Version 1.2.0 - Updated scripts/excel.py with new changes. - No changes to user-facing documentation or commands. v1.1.0 | 2026-04-17T14:3

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.3k

Updated

Oct 10, 2026

Version

1.2.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.3K 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
1.3K downloadsadoption · observed Oct 10, 2026
Latest release
1.2.0release · observed Apr 17, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s175tbqc6kczpya7xzy4rksefs83p4hp:pans-excel
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. 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-dashiming-pans-excel/snapshot"

Documentation

CLAWHUB

16,760 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: pans-excel
description: |
  全功能智能 Excel 处理专家。功能：数据分析 | 图表可视化(7种) | 数据处理 | 报表模板(7种) | AI智能 | CSV/JSON导入导出 | 数据验证 | PDF导出 | 数据清洗。
  触发词：Excel处理, 表格分析, 数据可视化, 图表制作, 公式生成, 报表生成, 销售看板, 财务分析, 对账清单, CSV导入, JSON导出, PDF导出, 数据清洗
---

# PansExcel Pro Max

## 命令速查

| 命令 | 功能 |
|------|------|
| `create` | 从数据创建 Excel |
| `report` | 生成专业报表（7种模板） |
| `analyze` | AI 智能分析数据 |
| `formula` | 自然语言生成公式 |
| `chart` | 添加图表（7种） |
| `format` | 一键美化 |
| `cond` | 条件格式（7种） |
| `dv` | 数据验证（下拉/数字/日期/文本长度） |
| `clean` | 数据清洗管道 |
| `split` | 分列（按分隔符） |
| `import` | CSV/JSON → XLSX |
| `export` | XLSX → CSV/JSON/PDF |
| `pdf` | 直接导出 PDF |
| `merge` | 合并多个 Excel |
| `insights` | AI 数据洞察 |

---

## create - 创建 Excel

```bash
python3 scripts/excel.py create -d '{"部门":["华东","华南"],"销售额":[125,98],"利润":[31,20]}' -o out.xlsx
```

## report - 报表模板（7种）

```bash
# 销售看板 - KPI卡片+柱状图+饼图
python3 scripts/excel.py report -d '{"部门":["华东","华南"],"销售额":[100,200],"利润":[30,50]}' -t sales -o 看板.xlsx

# 财务报表
python3 scripts/excel.py report -d '{"项目":["收入","成本","利润"],"Q1":[100,60,40],"Q2":[120,70,50]}' -t financial -o 财务.xlsx

# 项目甘特图（颜色随进度变化）
python3 scripts/excel.py report -d '{"项目":["A项目","B项目"],"进度":[80,50],"负责人":["张三","李四"]}' -t gantt -o 项目.xlsx

# 对账清单（正负自动标色）
python3 scripts/excel.py report -d '{"合同":["甲","乙"],"预算":[100,200],"实际":[110,190],"差异":[10,-10]}' -t recon -o 对账.xlsx

# 日报（状态自动标色）
python3 scripts/excel.py report -d '{"事项":["需求","开发"],"负责人":["张三"],"状态":["完成","进行中"]}' -t daily -o 日报.xlsx

# 周报
python3 scripts/excel.py report -d '{"日期":["周一","周二"],"完成任务":[3,5],"进行中":[2,1]}' -t weekly -o 周报.xlsx
```

## chart - 图表（7种）

```bash
python3 scripts/excel.py chart -f data.xlsx -t bar -T "销售对比" -p F2   # 柱状图
python3 scripts/excel.py chart -f data.xlsx -t line -T "趋势" -p F2       # 折线图
python3 scripts/excel.py chart -f data.xlsx -t pie -T "占比"                # 饼图
python3 scripts/excel.py chart -f data.xlsx -t area -T "堆积"                # 面积图
python3 scripts/excel.py chart -f data.xlsx -t radar -T "能力图"            # 雷达图
python3 scripts/excel.py chart -f data.xlsx -t combo -T "组合"              # 组合图
python3 scripts/excel.py chart -f data.xlsx -t scatter -T "分布"            # 散点图
```

## cond - 条件格式（7种）

```bash
python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t scale  # 三色热力图
python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t bar      # 数据条
python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t icon    # 图标集
python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t top     # Top N 高亮
python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t avg     # 高于平均
python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t gt -v 0  # 大于0标绿
python3 scripts/excel.py cond -f data.xlsx -r B2:B100 -t lt -v 0 # 小于0标红
```

## dv - 数据验证

```bash
# 下拉菜单
python3 scripts/excel.py dv -f data.xlsx -c 3 -t list -o "优,良,差"

# 数字范围（0-100）
python3 scripts/excel.py dv -f data.xlsx -c 4 -t number --min 0 --max 100

# 日期验证
python3 scripts/excel.py dv -f data.xlsx -c 5 -t date

# 文本长度限制
python3 scripts/excel.py dv

_meta.json

{
  "ownerId": "kn745ccdc5q5v4b5h89161d1ks82vz9w",
  "slug": "pans-excel",
  "version": "1.2.0",
  "publishedAt": 1776436994286
}

skill-card.md

## Description:

Pans Excel helps agents create, format, analyze, convert, and export Excel workbooks with charts, report templates, data validation, data cleaning, and CSV, JSON, and PDF workflows.

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

## Publisher:

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

### License/Terms of Use:

MIT-0

## Use Case:

Developers, analysts, and agent users use this skill to generate and modify Excel workbooks, build business reports, add charts and validation, clean tabular data, and convert between XLSX, CSV, JSON, and PDF.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The bundled Excel script can evaluate spreadsheet data input as Python code when JSON parsing fails.

Mitigation: Install only if the publisher is trusted, restrict how commands are invoked, and do not pass untrusted --data values.

Risk: Imported CSV or JSON data may contain spreadsheet formulas or other attacker-controlled cell content.

Mitigation: Avoid importing attacker-supplied CSV or JSON unless formula-like values are sanitized before conversion.

Risk: Formatting, charting, cleaning, validation, and autofmt commands can overwrite an existing workbook when no output path is provided.

Mitigation: Provide an explicit output path or work on a copy when modifying workbooks.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/dashiming/skills/pans-excel)

## Skill Output:

**Output Type(s):** [text, code, shell commands, configuration, guidance]

**Output Format:** [Markdown guidance with inline shell commands plus JSON or text command output]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Commands may create, modify, convert, or overwrite XLSX, CSV, JSON, and PDF files depending on output-path options.]

## Skill Version(s):

1.2.0 (source: server release metadata and target 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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Machine-readable data

The same record, as JSON, for agents and crawlers.

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}

Record generated Oct 10, 2026.

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