A financial analysis workflow for cleaning messy Excel spreadsheet data. It covers whitespace trimming, casing normalization, number-as-text conversion, date standardization, deduplication, encoding repair, and error flagging. Prefers transparent helper-column formulas over hardcoded values and requires user confirmation for destructive operations.
Snapshot quality
80/100
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 spreadsheet data to profile columns, detect issues, and inspect cell values.
FilesystemWrite
YesThe workflow writes helper-column formulas and may overwrite in-place with computed values when explicitly requested.
NetworkAccess
NoNo network access or web search is required by the workflow.
ShellExecution
NoNo shell commands or scripts are included or referenced in the captured directory.
CodeExecution
NoThe workflow references Python/openpyxl for standalone .xlsx files and Office JS for Excel add-in environments, but no code files are included in the captured directory.
ExternalCredentials
NoNo external credentials or paid data sources are required for spreadsheet data cleaning.
openpyxl
Python library for standalone .xlsx file processing
Python openpyxl library for reading and writing .xlsx files outside Excel.
User-provided spreadsheet
The user provides the spreadsheet data to be cleaned.
Snapshot assessment
80/100
Pineify Finance Skill snapshot assessment, version 1.0.0. Generated 2026-07-29 07:31 UTC.
Medium risk. Needs review.
Skill structure
80/100Instruction clarity
100/100Dependency transparency
65/100Permission transparency
75/100Safety guardrails
65/100Finance task fit
100/100Medium
No requirements.txt or equivalent manifest is included in the captured directory, though openpyxl is referenced in the instructions.
Low
The workflow prepares data for financial analysis but includes no explicit investment advice disclaimer.
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.
