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Build comparable-company valuation workbooks in Excel.
Passed 19 of 22 test cases with the skill, and 14 of 22 without it.
and 3 more in the full report
5 fixed15 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
What specific information must be included in Rows 1 through 3 of the header block in a comps spreadsheet model?
| Checked | Without skill | With skill |
|---|---|---|
| Row 1 contains the analysis title | Passed | Passed |
| Row 2 lists the peer companies along with their stock tickers | Missed | Passed |
| Row 3 specifies the date/period and reporting units | Passed | Passed |
The instructions your model reads when the skill loads.
This skill assumes headless openpyxl — you are producing an .xlsx file on disk.
Follow the excel-author skill's conventions for cell coloring, formulas, named ranges, and sensitivity tables.
Recalculate before delivery: python /path/to/excel-author/scripts/recalc.py ./out/model.xlsx.
ALWAYS follow this data source hierarchy:
Why this matters: MCP sources provide verified, institutional-grade data with proper citations. Web search results can be outdated, inaccurate, or unreliable for financial analysis.
This skill teaches the agent to build institutional-grade comparable company analyses that combine operating metrics, valuation multiples, and statistical benchmarking. The output is a structured Excel/spreadsheet that enables informed investment decisions through peer comparison.
Reference Material & Contextualization:
An example comparable company analysis is provided in examples/comps_example.xlsx. When using this or other example files in this skill directory, use them intelligently:
DO use examples for:
DO NOT use examples for:
ALWAYS ask yourself first:
test cases passed, vs 14 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.