Indexedanthropics/financial-services

LBO ModelFinance Skill

Instructions for filling an LBO template through sources and uses, operating forecasts, debt schedules, returns, and sensitivities, with user review after each section. The directory contains neither its standard workbook nor the referenced recalculation helper. Beginning-balance interest is an approximation, and sensitivity-grid conventions do not establish calculation accuracy or compatibility with every template.

Assessment score
75/100
Snapshot risk
Medium
Audit conclusion
Needs review
How the assessment score works

Pineify weights evidence recorded from the captured files: Skill structure 15%, Instruction clarity 20%, Dependency transparency 20%, Permission transparency 20%, Safety guardrails 15%, Finance task fit 10%. Each signal receives full credit for Yes, one-quarter credit for unknown, and none for No.

The score is not an output accuracy test or user rating. Read the findings and financial assumptions even when the score is high. Risk labels summarize recorded permissions and findings; they do not measure investment risk or certify that installation is safe.

Discovery

What this Skill helps an agent do.

Use the tasks and topics below to judge whether the captured workflow fits your question. Read its findings, dependencies and data requirements before relying on an output.

Finance tasks

Lbo modelExcel financial modeling

Domains and assets

Fundamental analysisPublic equities

Topics

lbo-modelleveraged-buyoutprivate-equitysources-and-usesdebt-scheduleirr-moicfinancial-analysis

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-lbo-model-2026-07-29-001

Permissions

FilesystemRead

Yes

The workflow reads template files (e.g. examples/LBO_Model.xlsx) and user-provided templates.

FilesystemWrite

Yes

The workflow generates Excel model files with formulas, formatting, and cell color conventions.

NetworkAccess

No

No network access is required or referenced. All data comes from user-provided assumptions and templates.

ShellExecution

Yes

The workflow references running a Python recalc script (recalc.py) for formula validation after model completion.

CodeExecution

Yes

The workflow references Python/openpyxl for standalone .xlsx generation and a recalc.py script for formula validation. No code files are included in the captured directory.

ExternalCredentials

No

No external credentials or paid data sources are referenced.

Dependencies

openpyxl

Python library for standalone .xlsx file generation

Not verified

Python openpyxl library for generating Excel files with formulas and formatting.

recalc.py

Formula validation script for recalculation

Not verified

External formula validation script that must return success with zero errors.

Data sources named by the Skill

User-provided template

User provides an LBO model template file and transaction assumptions.

Snapshot assessment

75/100

Pineify Finance Skill snapshot assessment, version 1.0.0. Generated 2026-10-20 00:00 UTC.

Medium risk · Needs review

Skill structure

80/100

Instruction clarity

100/100

Dependency transparency

50/100

Permission transparency

75/100

Safety guardrails

65/100

Finance task fit

85/100

Audit findings

Medium

Beginning-balance interest is an approximation

Using beginning debt balances can break circularity, but it does not model the actual timing of debt issuance, repayments, rate changes, or PIK accrual. Define that convention explicitly and reconcile interest, cash availability, and debt terms. Tax treatment may depend on interest deductibility and loss carryforwards; a blanket rule excluding debt-schedule effects is insufficient.

Medium

Dependency manifest is absent from the snapshot

No requirements.txt or equivalent manifest is included in the captured directory, though Python/openpyxl and a recalc.py script are referenced.

Medium

Referenced template and validation script are not included

The instructions reference examples/LBO_Model.xlsx as a standard template and /mnt/skills/public/xlsx/recalc.py for formula validation, but neither file is present in the captured directory.

Medium

Test sensitivities beyond the center cell

An odd-sized grid makes a centered base case convenient; it is not required for valid sensitivity analysis. Equal outputs can occur through rounding, payoff caps, or offsetting assumptions. Matching the center value alone does not prove the table is wired correctly: independently vary inputs and reconcile selected scenario calculations.

Medium

Template compatibility and formula accuracy are untested

Only SKILL.md is present. The standard workbook and recalc.py helper are absent, and openpyxl does not calculate formulas. Check the actual template, host calculation engine, cached results, debt terms, and return cash-flow dates; the claim of adapting to any template with financial accuracy is unsupported.

Low

Financial advice boundary is absent

The workflow produces LBO models for investment committee presentations but includes no explicit investment advice disclaimer.

Sources and relations

Context around this Skill.

Repository

anthropics/financial-services

topic

LBO modeling

agent

Claude Code

collection

Financial analysis

guide

Reviewing finance skills before install

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/financial-analysis/skills/lbo-model
Snapshot ID
fsh-lbo-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.