Indexedanthropics/financial-services

Merger ModelFinance Skill

An investment banking workflow for building M&A accretion/dilution models. It covers seven steps: gathering acquirer/target/deal term inputs, purchase price analysis (premium, EV/EBITDA, P/E implied), sources & uses, pro forma EPS calculation (year 1-3 with synergies, foregone interest, new debt interest, intangible amortization), sensitivity analysis (synergies vs premium, cash/stock mix), breakeven synergies, and producing an Excel workbook with one-page merger consequences summary.

Snapshot quality
57/100
Snapshot risk
Medium
Audit conclusion
Needs review

Discovery

What this Skill helps an agent do.

Search metadata is limited to this summary, the controlled finance taxonomy, and relation labels. Detailed upstream instructions are not part of the Search Index.

Finance tasks

Merger modelExcel financial modeling

Domains and assets

Fundamental analysisPublic equities

Search aliases and tags

accretion dilutionma modelpro forma epsmerger consequencesdeal impact analysismerger-modelaccretion-dilutionpro-forma-epsma-modelingsynergy-analysisinvestment-banking

Trust

Evidence from the captured directory.

This content snapshot assessment does not certify the repository, current files, or installation environment. "Not verified" means the captured files did not support a Yes or No conclusion.

License

Apache-2.0Yes

GitHub reports the repository license as Apache License 2.0.

Review state

Automated review
Automated review
Install tested
No
Human reviewed
Not verified

Snapshot

Files reviewed
1
Captured
2026-07-29 07:31 UTC
Snapshot ID
fsh-merger-model-2026-07-29-001

Permissions

FilesystemRead

No

No filesystem read access is required. The workflow operates on user-provided deal inputs.

FilesystemWrite

Yes

The workflow outputs an Excel workbook with assumptions, sources & uses, pro forma income statement, accretion/dilution summary, sensitivity tables, and breakeven analysis, plus a one-page merger consequences summary.

NetworkAccess

No

No network access is required or referenced. All data comes from user-provided deal inputs.

ShellExecution

No

No shell commands or scripts are included or referenced in the captured directory.

CodeExecution

No

No code files or code execution instructions are present in the captured directory.

ExternalCredentials

No

No external credentials or paid data sources are referenced.

Dependencies

No dependencies were named in this captured record.

Data sources named by the Skill

User-provided deal inputs

User provides acquirer, target, and deal term information for the merger analysis.

Snapshot assessment

57/100

Pineify Finance Skill snapshot assessment, version 1.0.0. Generated 2026-07-29 07:31 UTC.

Medium risk · Needs review

Skill structure

80/100

Instruction clarity

100/100

Dependency transparency

15/100

Permission transparency

50/100

Safety guardrails

15/100

Finance task fit

100/100

Audit findings

Medium

Dependency manifest is absent from the snapshot

No requirements.txt or equivalent manifest is included in the captured directory.

Low

Financial advice boundary is absent

The workflow produces M&A deal impact analysis for pitch books but includes no explicit investment advice disclaimer.

Sources and relations

Context around this Skill.

Repository

anthropics/financial-services

topic

Merger model

P0 relation label. No public page yet.

agent

Claude Code

P0 relation label. No public page yet.

collection

Investment banking

P0 relation label. No public page yet.

guide

Reviewing finance skills before install

P0 relation label. No public page yet.

Registry

Read this record as data.

The public record includes the page-safe snapshot, evidence, assessment, taxonomy, and relations. Internal revision fields stay outside the public projection.

Record ID
github:anthropics/financial-services:plugins/vertical-plugins/investment-banking/skills/merger-model
Snapshot ID
fsh-merger-model-2026-07-29-001
This page is an informational registry entry, not investment advice or a security guarantee. A high content quality score does not make the Skill safe for every environment. Review current files, permissions, data sources, and financial assumptions before use.