A financial analysis workflow for quality-checking investment banking presentations. It covers four QC dimensions: number consistency (with an automated Python extraction script that normalizes units and flags conflicts), data-narrative alignment (verifying claims against supporting data), language polish (IB terminology standards with replacement patterns), and visual formatting QC. Output is a structured report with severity classification (critical, important, minor). Includes reference files for IB terminology and report format.
Snapshot quality
79/100
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 the presentation file (.pptx) and writes extracted text to a temporary file for the number-checking script.
FilesystemWrite
YesThe workflow writes extracted deck text to a temporary file (e.g. /tmp/deck_content.md) for the extraction script to process.
NetworkAccess
NoNo network access is required. The workflow operates on the uploaded or open deck file only.
ShellExecution
YesThe workflow runs a Python script (scripts/extract_numbers.py) via shell to extract and check numbers from the deck content.
CodeExecution
YesA Python script (scripts/extract_numbers.py, 306 lines) is included in the captured directory and executed as part of the workflow.
ExternalCredentials
NoNo external credentials or paid data sources are referenced.
Python 3
Python 3 runtime for executing extract_numbers.py
Python 3 with standard library only (argparse, json, re, sys, collections, dataclasses, pathlib, typing). No third-party packages required.
User-provided presentation
User provides the pitch deck or client-ready presentation for QC review.
Snapshot assessment
79/100
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
65/100Permission transparency
75/100Safety guardrails
40/100Finance task fit
100/100Medium
The skill includes a 306-line Python script (scripts/extract_numbers.py) that is executed as part of the workflow. The script uses only Python standard library modules but must be reviewed before installation.
Medium
No requirements.txt or equivalent manifest is included in the captured directory, though Python 3 is required to run the extraction script.
Low
The workflow checks IB presentation quality but includes no explicit investment advice disclaimer.
Content
Skill
Repository
topic
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agent
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collection
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guide
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Registry
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