A detailed DCF modeling workflow for public company valuation. It covers financial data collection, cash flow forecasts, WACC, terminal value, sensitivity tables, workbook checks, and staged user review.
Snapshot quality
88/100
Risk
Medium
Audit
Needs review
Assessment time
2026-07-29 07:31 UTC
The copied prompt tells your agent to scan the complete current directory before installing it.
Current upstream content may differ from the assessed snapshot. The source link opens the current Skill path, not a pinned revision.
Discovery
Search metadata is limited to this summary, the controlled finance taxonomy, and relation labels. Detailed upstream instructions are not part of the Search Index.
Trust
This is a content snapshot assessment. It does not certify the repository, current files, or installation environment. "Not verified" means the captured files did not provide enough evidence for a Yes or No conclusion.
GitHub reports the repository license as Apache License 2.0.
FilesystemRead
YesThe workflow reads financial inputs and generated workbooks.
FilesystemWrite
YesThe workflow creates Excel models and may write validation JSON.
NetworkAccess
YesThe instructions allow MCP and web data retrieval.
ShellExecution
YesThe delivery checklist requires Python commands.
CodeExecution
YesThe directory includes a Python validator and instructs model generation.
ExternalCredentials
Not verifiedOptional MCP providers may require credentials, but the directory does not define a credential contract.
Python
Python 3 for standalone workbook generation
Required for the standalone openpyxl path.
openpyxl
>=3.0.0
Reads, writes, and validates Excel workbooks.
requests
>=2.28.0
Supports HTTP data retrieval in the Python path.
recalc.py
Required by the delivery checklist
The helper is referenced but not included in the captured directory.
Financial data provider
Optional MCP provider, web source, or user data
Examples include Daloopa, SEC filings, and web market data.
User-provided financial data
Historical financials and estimates supplied by the user.
SEC EDGAR filings
Primary filings for historical financial data.
MCP financial data providers
Daloopa is the named example.
Web market data
Current values need date and source checks.
Snapshot assessment
88/100
Pineify Finance Skill snapshot assessment, version 1.0.0. Generated 2026-07-29 07:31 UTC.
Medium risk. Needs review.
Skill structure
100/100Instruction clarity
100/100Dependency transparency
85/100Permission transparency
75/100Safety guardrails
74/100Finance task fit
100/100Medium
MCP and web sources are allowed, while credential requirements and provider availability are not fully specified.
Medium
Installation should preserve an explicit approval boundary before Python or Office JS runs.
Medium
The instructions require recalc.py before delivery, but that file is not present in the captured directory.
Low
The workflow contains strong model checks but no explicit investment advice boundary.
Content
Skill
Repository
topic
P0 relation label. No public page yet.
agent
P0 relation label. No public page yet.
collection
P0 relation label. No public page yet.
guide
P0 relation label. No public page yet.
Registry
The public record includes the page-safe snapshot, evidence, assessment, taxonomy, and relations. Internal revision fields stay outside the public projection.
