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unit-economics

Bottoms-up unit economics decomposition for any public company

56

Quality

63%

Does it follow best practices?

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SecuritybySnyk

Low

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tessl review fix ./plugins/daloopa/skills/unit-economics/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

This is a strong, highly actionable multi-step skill with clear sequencing and concrete guidance throughout. Its main weakness is progressive disclosure: the large archetype tables and search-term appendices are inlined in SKILL.md rather than split into clearly signaled reference files.

Suggestions

Move the business-archetype table and the per-archetype qualitative search terms into a reference file (e.g., references/archetypes.md) and link to it one level deep, keeping SKILL.md as a concise overview.

Tighten the report HTML skeleton in Section 7 — the duplicate section listing (prose Sections 1-7 then the HTML block) adds length without new information.

Consider extracting the derived-metric formulas into a short reference so the main workflow stays lean.

DimensionReasoningScore

Conciseness

The body is lean and avoids explaining concepts Claude already knows, but at ~200 lines it inlines large reference material (the archetype table, per-archetype qualitative search terms, and a full report skeleton) that could be tightened or split out.

2 / 3

Actionability

Guidance is concrete and executable throughout: specific series keyword sets, named functions (discover_companies), explicit derived-metric formulas (CAC payback = CAC / (ARPU x gross margin)), file paths, and citation formats.

3 / 3

Workflow Clarity

A clearly sequenced 7-step process with explicit fallbacks (chart_generator.py unavailable -> inline SVG; no unit KPIs -> margin bridge) and analytical standards; the task is non-destructive so the absence of a validation loop is not penalizing.

3 / 3

Progressive Disclosure

Well organized into numbered sections, but the skill is a single monolithic ~200-line file with no bundle references; the archetype table and per-archetype search-term lists are content that could be split into one-level-deep reference files.

2 / 3

Total

10

/

12

Passed

Description

50%

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 names a specific analytical domain and action but is too terse to fully answer 'when should Claude use this'. Adding an explicit 'Use when...' trigger clause and a few more concrete capability verbs would lift it across all dimensions.

Suggestions

Add an explicit trigger clause, e.g. 'Use when analyzing a public company's per-unit profitability, revenue build, or unit-level margins (e.g., ARPU, LTV/CAC, same-store sales, take rate).'

List 2-3 concrete actions beyond 'decomposition' — e.g., 'decomposes revenue into units x price, computes per-unit margins, and benchmarks operating leverage'.

Include natural user phrasings like 'per-unit economics', 'unit profitability', or 'revenue bridge' to improve trigger-term coverage.

DimensionReasoningScore

Specificity

Names the domain ('unit economics') and one concrete action ('bottoms-up ... decomposition') for 'any public company', but it is a single action rather than a comprehensive list of specific capabilities.

2 / 3

Completeness

States what the skill does ('bottoms-up unit economics decomposition for any public company') but gives no explicit 'Use when...' guidance; per the guidelines a missing trigger clause caps completeness at 2.

2 / 3

Trigger Term Quality

Includes relevant terms like 'unit economics' and 'public company', but omits common phrasings a user would naturally say (e.g., 'per-unit margins', 'LTV/CAC', 'revenue decomposition') and has no natural trigger clause.

2 / 3

Distinctiveness Conflict Risk

The unit-economics framing is a fairly distinct niche, but 'decomposition for any public company' could still overlap with broader financial-analysis skills and lacks distinct triggers to disambiguate.

2 / 3

Total

8

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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