MCPInstall

deal-screening

Quickly screen inbound deal flow — CIMs, teasers, and broker materials — against the fund's investment criteria. Extracts key deal metrics, runs a pass/fail framework, and outputs a one-page screening memo. Use when reviewing new deal flow, triaging inbound materials, or deciding whether to take a first call. Triggers on "screen this deal", "review this CIM", "should we look at this", "triage this teaser", or "deal screening".

Installs
1K
Last 24h
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Trending rank
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/anthropics/financial-services --skill deal-screening
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads deal-screening automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Deal Screening

Workflow

Step 1: Extract Deal Facts

From the provided CIM, teaser, or description, extract:

  • Company: Name, location, sector/subsector
  • Description: What they do (1-2 sentences)
  • Financials: Revenue, EBITDA, margins, growth rate
  • Deal type: Platform, add-on, recap, minority, carve-out
  • Asking price / valuation: Multiple, enterprise value if stated
  • Seller motivation: Why selling now
  • Management: Rolling or exiting
  • Key customers: Concentration risk
  • Key risks: Obvious red flags

Step 2: Screen Against Criteria

Apply the fund's investment criteria (ask user if not known):

CriterionTargetActualPass/Fail
Revenue range
EBITDA range
EBITDA margin
Growth profile
Sector fit
Geography
Deal size / EV
Valuation (x EBITDA)
Customer concentration
Management continuity

Step 3: Quick Assessment

Provide a 3-part assessment:

  1. Verdict: Pass / Further Diligence / Hard Pass
  2. Bull case (2-3 bullets): Why this could be a good deal
  3. Bear case (2-3 bullets): Key risks and concerns
  4. Key questions: What you'd need to answer on a first call

Step 4: Output

One-page screening memo suitable for sharing with partners or an IC quick screen.

Important Notes

  • Speed matters — screening should take minutes, not hours
  • Be direct about red flags. Don't bury concerns
  • If financials seem inconsistent or incomplete, flag it explicitly
  • Ask for the fund's criteria upfront if this is the first screening
  • Save screening criteria in memory for future deals once confirmed

FAQ

What does the deal-screening skill do?

Quickly screen inbound deal flow — CIMs, teasers, and broker materials — against the fund's investment criteria. Extracts key deal metrics, runs a pass/fail framework, and outputs a one-page screening memo. Use when reviewing new deal flow, triaging inbound materials, or deciding whether to take a first call. Triggers on "screen this deal", "review this CIM", "should we look at this", "triage this teaser", or "deal screening".

How do I install deal-screening?

Run npx skills add https://github.com/anthropics/financial-services --skill deal-screening in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/deal-screening/ (personal) or .claude/skills/deal-screening/ (project).

Which AI agents can use deal-screening?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is deal-screening safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains deal-screening?

It is published by anthropics in anthropics/financial-services, and it is an official skill from the maker of the technology it covers. It has 1,003 recorded installs.

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