Olo Deal Screening

Target company evaluation and deal qualification for PE and strategic buyers

This skill is instruction-only and internally consistent with a deal-screening tool, so its footprint is low. Before using it: (1) provide clear, buyer-specific thresholds and the input data the skill should score (it does not fetch data itself); (2) avoid pasting highly sensitive or personally identifiable data into a public agent/model unless you trust the execution environment; (3) treat the output as a decision-support starting point — validate scores, assumptions (e.g., EV/EBITDA comps, revenue definitions), and any legal or sanction checks with domain experts; and (4) note that the skill's provenance is unknown (no homepage/source), so if provenance or vendor support matters, request a vetted implementation or additional documentation.

Type: OpenClaw Skill Name: olo-deal-screening Version: 1.0.0 The skill bundle contains only metadata (`_meta.json`) and a detailed set of instructions for an AI agent to perform deal screening (`SKILL.md`). The `SKILL.md` file defines evaluation criteria, scoring mechanisms, and output formats, all strictly aligned with the stated purpose of 'Target company evaluation and deal qualification'. There are no indications of prompt injection attempts, malicious code execution, data exfiltration, persistence mechanisms, or any other high-risk behaviors. The content is purely instructional and benign.