lbo-model

Build leveraged buyout workbooks with IRR/MOIC in Excel.

Quality

71%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./optional-skills/finance/lbo-model/SKILL.md

Quality

Content

77%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill body is exceptionally actionable and workflow-structured with strong validation feedback loops, but it is monolithic and inlines content (formatting palette, verification checklist) that would benefit from being split into bundled reference files. Resolving placeholder paths and adding real reference files would improve progressive disclosure.

Suggestions

Move the detailed fill-color/formatting palette and the full verification checklist into bundled reference files (e.g., references/formatting.md, references/verification-checklist.md) and reference them one level deep from SKILL.md.

Resolve the placeholder recalc path ('/path/to/excel-author/scripts/recalc.py') to a real, discoverable path or include the script as a bundled asset so the command is runnable.

Trim the 'COMMON ERRORS TO AVOID' table and closing summary, which duplicate the verification checklist, to improve conciseness.

Dimension	Reasoning	Score
Conciseness	The body is mostly high-signal domain detail (formula conventions, color palettes, problem areas) and assumes Claude's intelligence, but the restated 'COMMON ERRORS' table and closing summary repeat checklist content and could be tightened.	3 / 5
Actionability	It provides fully executable, copy-paste-ready guidance throughout — exact hex colors, number formats, formula patterns ('=B5*B6', 'MAX(0,...)'), odd-dimension sensitivity tables, and a runnable recalc command covering common cases.	5 / 5
Workflow Clarity	A clearly sequenced multi-step process with explicit section-by-section checkpoints, a full verification checklist, and a validate-then-fix feedback loop ('If errors are found during verification, fix them before moving to the next section').	5 / 5
Progressive Disclosure	No bundle files (references/scripts/assets) are provided, and the skill is a single ~275-line monolithic SKILL.md with conventions, checklists, and formatting all inlined; its only references point to external/placeholder paths ('/path/to/excel-author', 'examples/LBO_Model.xlsx') rather than well-signaled bundled references.	3 / 5
	Total	16 / 20 Passed

Description

65%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and clearly occupies a distinct niche, but it lacks any explicit 'when to use' trigger guidance, which limits its completeness. Adding a 'Use when...' clause and a few natural synonyms (LBO model, private equity) would raise it.

Suggestions

Append an explicit 'when' clause, e.g. 'Use when the user asks for an LBO model, leveraged buyout returns analysis, or private-equity deal math in Excel.'

Add natural synonyms/trigger terms a user would say, such as 'LBO model', 'private equity', 'deal model', and '.xlsx'.

Expand beyond the single 'Build' verb to list concrete actions (e.g., build, populate, validate) to strengthen specificity.

Dimension	Reasoning	Score
Specificity	The description names the domain ('leveraged buyout workbooks') and concrete outputs ('IRR/MOIC') with the action verb 'Build', but only a single action verb keeps it from listing several specific actions.	3 / 5
Completeness	There is a clear 'what' ('Build leveraged buyout workbooks with IRR/MOIC in Excel') but no 'Use when...' or equivalent trigger guidance, which per the rubric caps completeness at 3.	3 / 5
Trigger Term Quality	It covers strong natural domain terms ('leveraged buyout', 'IRR/MOIC', 'Excel', 'workbooks'), but omits common synonyms a user might say such as 'LBO model', 'private equity', or '.xlsx'.	4 / 5
Distinctiveness Conflict Risk	The niche ('leveraged buyout workbooks with IRR/MOIC in Excel') is highly specific and distinct from general Excel skills, with minimal conflict risk.	5 / 5
	Total	15 / 20 Passed

Validation

81%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	13 / 16 Passed

Repository: NousResearch/hermes-agent
Path: optional-skills/finance/lbo-model/SKILL.md
Commit: 6680afb

Reviewed: about 3 hours ago

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