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Olo Deal Screening
作者
Aleksander Niebylski
· GitHub ↗
· v1.0.0
290
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install olo-deal-screening
功能描述
Target company evaluation and deal qualification for PE and strategic buyers
安全使用建议
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.
功能分析
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.
能力评估
Purpose & Capability
Name, description, and the SKILL.md all describe a deal-screening / M&A scoring framework. There are no unrelated required binaries, environment variables, or config paths; the requested functionality (scoring targets across five dimensions and returning structured JSON) matches the declared purpose.
Instruction Scope
SKILL.md contains only scoring rules, thresholds, auto-fail checks, and an explicit JSON output format. It does not instruct the agent to read system files, access environment variables, call external endpoints, or exfiltrate data. The instructions are scoped to evaluating a target given input data (which the user/agent must supply).
Install Mechanism
No install spec and no code files are present. This instruction-only skill will not write files or install packages on the host.
Credentials
The skill requires no credentials, environment variables, or config paths. There are no disproportionate or unexpected secret requests.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent or elevated platform privileges and does not modify other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install olo-deal-screening - 安装完成后，直接呼叫该 Skill 的名称或使用
/olo-deal-screening触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
- Introduces a comprehensive M&A deal screening framework for private equity and strategic buyers.
- Scores acquisition targets across five key dimensions: Strategic Fit, Financial Profile, Valuation Attractiveness, Risk Profile, and Execution Feasibility.
- Includes deal-breaker checks (auto-fail conditions) before detailed scoring.
- Provides tailored criteria for PE investors, such as LBO feasibility and fund fit.
- Outputs clear recommendations, key strengths/concerns, and prioritized next steps in a structured format.
元数据
常见问题
Olo Deal Screening 是什么？
Target company evaluation and deal qualification for PE and strategic buyers. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 290 次。
如何安装 Olo Deal Screening？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install olo-deal-screening」即可一键安装，无需额外配置。
Olo Deal Screening 是免费的吗？
是的，Olo Deal Screening 完全免费（开源免费），可自由下载、安装和使用。
Olo Deal Screening 支持哪些平台？
Olo Deal Screening 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Olo Deal Screening？
由 Aleksander Niebylski（@aniebyl）开发并维护，当前版本 v1.0.0。
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