olo-deal-screening
Target company evaluation and deal qualification for PE and strategic buyers
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aniebyl/olo-deal-screeningWhat This Skill Does
The olo-deal-screening skill is an advanced M&A evaluation tool designed for Private Equity (PE) firms and strategic corporate development teams. It automates the initial due diligence phase by applying a standardized, multi-dimensional scoring framework to potential acquisition targets. By assessing five critical pillars—Strategic Fit, Financial Profile, Valuation Attractiveness, Risk Profile, and Execution Feasibility—this skill ensures consistent, data-driven investment decision-making. It includes built-in 'deal-breaker' logic that triggers auto-fails for criteria like revenue thresholds or regulatory exposure, saving analysts significant time in the early stage of a potential transaction.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/aniebyl/olo-deal-screening
Use Cases
This skill is ideal for:
- Private Equity Analysts: Rapidly filtering hundreds of incoming CIMs (Confidential Information Memoranda) to identify high-potential targets that match fund investment theses.
- Corporate Development Teams: Evaluating bolt-on acquisitions to ensure target companies align with long-term portfolio strategy and synergy goals.
- Investment Bankers: Pre-screening a target's viability to provide clients with a reality check on whether an acquisition will meet strict internal investment committees (IC) standards.
Example Prompts
- "Screen the Acme Corp CIM against our current portfolio criteria: $50M+ revenue, >15% EBITDA margins, and a focus on SaaS platforms in the EMEA region."
- "Evaluate the deal-breaker risk for the proposed acquisition of TechStream. Focus on their current litigation status and verify if they meet our 3x leverage capacity requirement."
- "Score the following target based on our recent quarterly strategy update. Focus heavily on valuation attractiveness and explain why the exit path might be limited."
Tips & Limitations
- Data Quality: The quality of the scoring is directly proportional to the accuracy of the input documents. Ensure you have the latest financial statements and market reports accessible.
- Subjective Interpretation: While the tool provides quantitative scores, always interpret results within the context of qualitative market shifts.
- Thresholds: Customize the deal-breaker triggers to match your specific fund mandate; the default settings are standard but may require tuning for niche sectors or distressed debt strategies.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aniebyl-olo-deal-screening": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: data-collection
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