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valuationvaluation 分析

Agent Skill

valuation 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:valuation(valuation 分析)
来源仓库:https://github.com/xueyetianya/valuation
安装命令:
openclaw skills install valuation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

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openclaw skills install valuation

简介

构建 DCF 模型并对公司估值进行可比分析。在现金流建模、对标同行、预测增长或推介时使用。

SKILL.md

name
valuation
version
2.0.0
author
BytesAgain
homepage
https://bytesagain.com
source
https://github.com/bytesagain/ai-skills
license
MIT-0
tags
[valuation, tool, utility]
description
Build DCF models and run comparable analysis for company valuation. Use when modeling cash flows, benchmarking peers, projecting growth, or pitching.

Valuation

Utility toolkit for tracking and managing valuation-related operations. Log runs, checks, analyses, batch jobs, and reports — all with timestamped history and multi-format export.

Commands

All data commands accept optional input. Without input, they display the 20 most recent entries. With input, they log a new timestamped entry.

Core Operations

CommandDescription
valuation run [input]Log or view run entries — track execution tasks
valuation check [input]Log or view check entries — record verification tasks
valuation convert [input]Log or view convert entries — track conversion operations
valuation analyze [input]Log or view analyze entries — record analysis results
valuation generate [input]Log or view generate entries — track generation tasks
valuation preview [input]Log or view preview entries — record preview operations
valuation batch [input]Log or view batch entries — track batch processing jobs
valuation compare [input]Log or view comparison entries — track A/B comparisons
valuation export [input]Log or view export entries — record export operations
valuation config [input]Log or view config entries — track configuration changes
valuation status [input]Log or view status entries — record status observations
valuation report [input]Log or view report entries — record generated reports

Utility Commands

CommandDescription
valuation statsShow summary statistics: entry counts per category, total entries, and data size
valuation export <fmt>Export all data in json, csv, or txt format to the data directory
valuation search <term>Search across all log files for a term (case-insensitive)
valuation recentShow the 20 most recent entries from the activity history log
valuation statusHealth check: version, data directory, total entries, disk usage, last activity
valuation helpShow full command listing
valuation versionPrint version string (valuation v2.0.0)
Note: The export and status commands have dual roles. As core operations they log entries (when called with input). As utility commands they perform their special function (export data or show health check when called without arguments or with a format specifier).

Data Storage

All data is stored locally in ~/.local/share/valuation/:

  • Per-command logs: run.log, check.log, analyze.log, batch.log, etc. — one file per command type
  • History log: history.log — unified activity log with timestamps
  • Export files: export.json, export.csv, export.txt — generated on demand
  • Format: Each entry is stored as YYYY-MM-DD HH:MM|<input> (pipe-delimited)

Set the VALUATION_DIR environment variable to override the default data directory.

Requirements

  • bash (with set -euo pipefail strict mode)
  • Standard Unix tools: date, wc, du, head, tail, grep, basename, cat
  • No external dependencies or API keys required

When to Use

  1. Tracking valuation model runs — Log DCF runs, revenue projections, and model iterations with timestamped records
  2. Recording analysis and comparison results — Use analyze and compare to document peer benchmarks, multiples, and scenario comparisons
  3. Managing batch processing pipelines — Use batch and export to track large-scale valuation jobs across portfolios
  4. Auditing configuration changes — Use config to log parameter changes (discount rates, growth assumptions, etc.) for reproducibility
  5. Generating compliance reports — Export all logged data to JSON/CSV/TXT for audit trails, investor presentations, or regulatory filings

Examples

# Log a valuation run
valuation run "DCF model for ACME Corp — 5yr projection, WACC 9.2%"

# Record an analysis result
valuation analyze "peer comparison: ACME trades at 12x EV/EBITDA vs 15x median"

# Log a batch processing job
valuation batch "processed 50 portfolio companies for Q4 revaluation"

# Track a configuration change
valuation config "updated discount rate from 8.5% to 9.2% per board directive"

# View recent check entries
valuation check

# Search for entries related to a specific company
valuation search "ACME"

# Get summary statistics across all categories
valuation stats

# Export everything to JSON for dashboard integration
valuation export json

# Show the 20 most recent activity entries
valuation recent

How It Works

Valuation uses a simple append-only log architecture. Each command type writes to its own .log file, and all activity is also appended to a central history.log for chronological tracking. The stats command aggregates counts across all log files. The export command reads all logs and serializes them into the requested format (JSON array, CSV with headers, or plain text sections). The search command performs case-insensitive grep across all log files.


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