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olo-deal-screening单独交易筛选

Agent Skill

olo-deal-screening 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

8,491

周安装

361

GitHub Stars

公开资料未说明

下载量

2,975
OpenClaw

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:olo-deal-screening(单独交易筛选)
来源仓库:https://github.com/aniebyl/olo-deal-screening
安装命令:
openclaw skills install olo-deal-screening
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。

ClawHubOpenClaw
openclaw skills install olo-deal-screening

简介

评估目标公司是否符合 PE 或战略买家的交易资格标准。

  • 适用于私募股权或企业并购前期的筛选流程。olo-deal-screening 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,需输入公司基本信息与财务指标。
  • 结果依赖输入质量,建议补充完整资料后再调用。
  • 可结合原始 README 查看评分维度与阈值设置。

SKILL.md

name
olo-deal-screening
version
1.0.0
description
Target company evaluation and deal qualification for PE and strategic buyers
author
ololand.ai
author_url
https://ololand.ai
license
MIT
triggers
tags

Deal Screening for M&A

Score and qualify acquisition targets against buyer investment criteria.

Screening Framework

Evaluate targets across five dimensions, each scored 0-100:

1. Strategic Fit (25% weight)

  • Industry/sector alignment with buyer portfolio
  • Geographic fit (markets, operations, customer base)
  • Product/service complementarity
  • Technology or capability gap fill
  • Brand and market position value

2. Financial Profile (25% weight)

  • Revenue scale (minimum threshold check)
  • Revenue growth trajectory (3-year trend)
  • EBITDA margin vs. industry benchmark
  • Revenue quality (recurring vs. one-time, customer concentration)
  • Working capital efficiency

3. Valuation Attractiveness (20% weight)

  • EV/EBITDA vs. comparable transactions
  • EV/Revenue vs. sector median
  • Implied IRR at estimated purchase price
  • Multiple arbitrage potential (buy low, exit higher)

4. Risk Profile (15% weight)

  • Customer concentration (top 10 customers as % of revenue)
  • Key-person dependency
  • Regulatory exposure
  • Technology obsolescence risk
  • Litigation or compliance issues

5. Execution Feasibility (15% weight)

  • Management team quality and retention likelihood
  • Integration complexity estimate
  • Competitive auction dynamics
  • Seller motivation and timeline
  • Financing availability

Scoring Output

Overall Fit Score: 78/100 — PROCEED TO DD

Strategic Fit:     85/100 ████████░░
Financial Profile: 72/100 ███████░░░
Valuation:         80/100 ████████░░
Risk Profile:      68/100 ██████░░░░
Execution:         82/100 ████████░░

Recommendation: PROCEED TO DD
Key Strengths: [top 3]
Key Concerns: [top 3]
Suggested Next Steps: [prioritized actions]

Thresholds

Score RangeRecommendation
80-100Strong fit — prioritize for DD
65-79Good fit — proceed with caution
50-64Marginal — requires strategic justification
Below 50Poor fit — pass unless compelling thesis

Deal-Breaker Checks (Auto-Fail)

Before scoring, check for absolute disqualifiers:

  • Revenue below buyer's minimum threshold
  • Negative EBITDA (unless growth-stage thesis)
  • Active material litigation exceeding 20% of EV
  • Sanctioned entities in ownership chain
  • Industry explicitly excluded by buyer mandate

PE-Specific Criteria

For financial sponsor buyers, additionally evaluate:

  • LBO feasibility: Can the deal be levered 3-5x EBITDA?
  • Value creation levers: Revenue growth, margin expansion, add-ons, multiple expansion
  • Exit path: IPO viability, strategic buyer universe, sponsor-to-sponsor
  • Hold period returns: Target 20-25% gross IRR over 3-5 years
  • Fund fit: Check size, vintage, sector focus, geographic mandate

Output Format

Provide structured JSON-compatible output with:

  • overall_score: 0-100
  • recommendation: proceed_to_dd | proceed_with_caution | pass
  • dimension_scores: object with each dimension
  • deal_breakers: list of any auto-fail conditions triggered
  • strengths: top 3 positive factors
  • concerns: top 3 risk factors
  • next_steps: prioritized action items

适合场景

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需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.9%
按下载量换算2,526

安全审计

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权限和风险

需要联网

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安装前确认

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