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/install investment-post-management-report-updater
Description
自动更新投后管理报告;当用户需要根据新财务报表和访谈纪要更新季度投后管理报告、生成财务数据分析、更新公司经营情况和行业分析时使用
README (SKILL.md)
投后管理报告自动更新技能
任务目标
- 本 Skill 用于:基于新季度财务报表、访谈纪要和上季度投后管理报告,自动生成新季度的投后管理报告
- 能力包含:财务数据提取、财务数据分析、经营情况更新、行业分析更新、Word 报告生成
- 触发条件:用户提供财务报表文件、访谈纪要文件和上季度投后管理报告文件,要求生成新季度报告
前置准备
- 依赖说明:scripts 脚本所需的依赖包及版本
openpyxl==3.1.2 python-docx==1.1.0
操作步骤
标准流程
-
接收和验证输入文件
- 确认用户提供三个文件:
- 新季度财务报表(XLS/XLSX 格式)
- 访谈纪要(DOCX 格式)
- 上季度投后管理报告(DOCX 格式)
- 检查文件格式和完整性
- 确认用户提供三个文件:
-
解析财务报表数据
- 调用
scripts/parse_financial_data.py提取财务数据:python3 /workspace/projects/investment-post-management-report-updater/scripts/parse_financial_data.py --file \x3C财务报表路径> - 提取内容包括:资产负债表、利润表、现金流量表的关键指标
- 调用
-
解析访谈纪要和上季度报告
- 调用
scripts/parse_docx.py提取文本内容:python3 /workspace/projects/investment-post-management-report-updater/scripts/parse_docx.py --file \x3C访谈纪要路径> python3 /workspace/projects/investment-post-management-report-updater/scripts/parse_docx.py --file \x3C上季度报告路径> - 保留上季度报告的结构和格式
- 调用
-
财务数据分析(智能体处理)
- 对比新旧财务数据,识别关键变化
- 参考 references/financial-analysis-guide.md 中的分析方法
- 分析要点包括:
- 收入增长率和趋势
- 利润率变化
- 现金流状况
- 资产负债结构变化
- 生成财务分析段落
-
公司经营情况更新(智能体处理)
- 从访谈纪要中提取关键经营信息
- 参考 references/content-update-template.md 中的模板
- 更新内容包括:
- 业务进展
- 产品/服务更新
- 团队变化
- 重大事件
- 生成经营情况描述段落
-
行业情况更新(智能体处理)
- 从访谈纪要中提取行业相关信息
- 结合外部知识进行行业分析
- 更新内容包括:
- 行业发展趋势
- 竞争格局变化
- 政策影响
- 生成行业分析段落
-
生成新季度投后管理报告
- 调用
scripts/generate_report.py生成报告:python3 /workspace/projects/investment-post-management-report-updater/scripts/generate_report.py \ --template \x3C上季度报告路径> \ --financial-data \x3C财务数据JSON> \ --financial-analysis \x3C财务分析文本> \ --business-update \x3C经营情况文本> \ --industry-update \x3C行业分析文本> \ --output \x3C输出报告路径> - 保持原有报告格式、样式和结构
- 更新相关章节内容
- 调用
-
输出和验证
- 提供生成的报告文件路径
- 简要说明主要更新内容
- 建议用户检查报告准确性
可选分支
- 当财务报表格式特殊时:手动提取关键数据,智能体进行分析
- 当需要保留特定格式时:在 generate_report.py 中自定义样式映射
- 当需要生成多个版本时:多次调用生成脚本,输出不同文件
资源索引
- 必要脚本:
- scripts/parse_financial_data.py(用途:解析 Excel 财务报表,提取关键财务指标)
- scripts/parse_docx.py(用途:解析 DOCX 文件,提取文本内容和结构)
- scripts/generate_report.py(用途:基于模板和分析内容,生成新季度报告)
- 领域参考:
- references/report-structure.md(何时读取:了解投后管理报告的标准结构和章节要求)
- references/financial-analysis-guide.md(何时读取:执行财务数据分析时,参考分析框架和要点)
- references/content-update-template.md(何时读取:生成各部分更新内容时,参考写作模板)
注意事项
- 仅在需要时读取参考文档,保持上下文简洁
- 智能体负责内容分析和生成,脚本负责文件格式处理
- 生成报告后建议用户检查数据准确性和内容完整性
- 保持上季度报告的格式风格,确保报告一致性
- 对于复杂的财务分析,可以多次调用脚本进行验证
使用示例
示例1:标准季度报告更新
- 功能说明:基于标准输入文件生成新季度报告
- 执行方式:脚本+智能体混合
- 关键参数:三个输入文件路径
- 示例流程:
- 用户上传:2025Q4财务报表.xlsx、访谈纪要.docx、2025Q3报告.docx
- 智能体调用脚本解析所有文件
- 智能体分析数据并生成更新内容
- 智能体调用脚本生成2025Q4报告.docx
示例2:自定义分析重点
- 功能说明:在标准更新基础上,强调特定分析维度
- 执行方式:智能体主导
- 关键要点:根据投资方关注点调整分析重点
- 示例调整:增加现金流分析、债务风险评估等专项分析
示例3:多季度对比分析
- 功能说明:在报告中增加多季度趋势对比
- 执行方式:智能体主导
- 关键要点:提取历史数据,生成对比图表或表格
- 示例内容:近四个季度的收入趋势、利润率变化对比
Usage Guidance
This skill appears to do what it claims: parse XLSX/DOCX inputs and generate an updated DOCX report using local scripts. Before installing/using it: 1) Ensure you run it in an environment with Python and the required libraries (openpyxl, python-docx) or install those packages first. 2) Test on non-sensitive sample files to confirm paths and formatting (the SKILL.md examples use /workspace/... paths which you may need to change). 3) Verify outputs for correctness—these scripts use heuristics to find metrics and may mis-parse unusual spreadsheet layouts. 4) Run in an isolated workspace if inputs contain sensitive data; although the code does not perform network calls or read env vars, the agent/model that performs the textual analysis may use external knowledge—avoid sending sensitive content to external services. 5) If you need an automated installer or stricter dependency management, ask the skill author to supply an install spec (requirements.txt or a package step).
Capability Analysis
Type: OpenClaw Skill
Name: investment-post-management-report-updater
Version: 1.0.0
The skill bundle is a legitimate tool designed to automate the generation of investment post-management reports. It uses Python scripts (scripts/parse_financial_data.py, scripts/parse_docx.py, and scripts/generate_report.py) to process Excel and Word documents using standard libraries like openpyxl and python-docx. There is no evidence of data exfiltration, malicious execution, or prompt injection; the code strictly handles local file parsing and text replacement based on provided templates and analysis.
Capability Assessment
Purpose & Capability
Name/description, declared Python dependencies (openpyxl, python-docx), SKILL.md steps, and the three scripts all align: they parse Excel/DOCX, extract metrics/text, and produce a DOCX report. There are no unexpected credentials, binaries, or config paths requested.
Instruction Scope
SKILL.md confines actions to validating user-provided files, calling the included scripts, and using local reference documents. One small operational note: the example script invocations use a hard-coded workspace path (/workspace/projects/...), which is an environment assumption (not a security issue but may require path adjustments in some deployments). The guidance to "结合外部知识" (combine with external knowledge) refers to the agent/model using its knowledge and is reasonable for analysis tasks.
Install Mechanism
There is no install spec. The skill declares Python library dependencies in SKILL.md but does not provide an installation step; the runtime will require a Python environment with openpyxl and python-docx installed. Lack of an automated install is not malicious but is an operational gap the user should address.
Credentials
The skill does not request environment variables, credentials, or config paths. The scripts only read user-supplied files and write an output DOCX; they do not access network endpoints or secrets.
Persistence & Privilege
always:false (default) and the skill does not modify other skills or system-wide settings. It only writes the generated report file to the specified output path.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install investment-post-management-report-updater - After installation, invoke the skill by name or use
/investment-post-management-report-updater - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of investment-post-management-report-updater
- Automates quarterly post-investment management report updates based on new financial statements, interview minutes, and last quarter’s report.
- Extracts and analyzes financial data, updates business operations and industry analysis using structured scripts and templates.
- Supports DOCX (reports, interview notes) and XLS/XLSX (financials) formats; maintains existing report style and structure.
- Includes example workflows for standard update, custom analysis focus, and multi-period comparisons.
- Dependencies: openpyxl 3.1.2, python-docx 1.1.0.
Metadata
Frequently Asked Questions
What is 投后管理报告自动更新?
自动更新投后管理报告;当用户需要根据新财务报表和访谈纪要更新季度投后管理报告、生成财务数据分析、更新公司经营情况和行业分析时使用. It is an AI Agent Skill for Claude Code / OpenClaw, with 254 downloads so far.
How do I install 投后管理报告自动更新?
Run "/install investment-post-management-report-updater" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 投后管理报告自动更新 free?
Yes, 投后管理报告自动更新 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 投后管理报告自动更新 support?
投后管理报告自动更新 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 投后管理报告自动更新?
It is built and maintained by kinomoon (@kinomoon); the current version is v1.0.0.
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