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capital-allocation

Deep dive into capital deployment, buybacks, dividends, and shareholder yield

52

Quality

57%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/daloopa/skills/capital-allocation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The skill is highly actionable with concrete formulas, search strategies, and a report template, and its multi-step workflow is well sequenced. Its main weaknesses are redundancy between the value-judgment sections, a missing data-completeness verification step, and a monolithic body that could offload reference material to bundle files.

Suggestions

Add an explicit verification checkpoint after the 8-quarter data pull (e.g., 'Confirm all required series are present for each quarter; if gaps exist, re-query or note the gap before computing metrics') to lift workflow clarity.

Consolidate the overlapping 'value creation vs destruction' guidance in sections 6 and 6.5 into a single value-judgment block to remove redundancy.

Move the sector-KPI taxonomy and/or the HTML report template into a references/ bundle file (e.g. REPORT_TEMPLATE.md) and link to it, keeping SKILL.md as a lean overview.

DimensionReasoningScore

Conciseness

The body is mostly efficient procedural guidance that avoids explaining concepts Claude already knows, but sections 6 and 6.5 overlap heavily on 'value creation vs extraction' themes, and the long sector-KPI taxonomy and full HTML template could be tightened or split out.

2 / 3

Actionability

It provides concrete data series to pull, explicit formulas with computed-field labels (e.g. 'FCF = OCF - CapEx, label (calc.)'), search queries with fallbacks, and a copy-paste-ready HTML report template with citation format — fully executable guidance.

3 / 3

Workflow Clarity

Steps 1–7 are clearly sequenced with conditional handling for missing data (market data unavailable, EBITDA unavailable), but there is no explicit verification checkpoint confirming the 8-quarter batch pull is complete before computing metrics, which caps a batch workflow at 2.

2 / 3

Progressive Disclosure

External references to ../data-access.md and ../design-system.md are well-signaled with section pointers and one level deep, but no bundle files exist and the 213-line body bundles a metric library, sector-KPI taxonomy, and report template inline that could be split into reference files.

2 / 3

Total

9

/

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 identifies a clear domain and several relevant topics but lacks explicit trigger guidance and uses only one vague action verb. It is adequate but generic, capping every dimension at 2.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when the user asks about capital allocation, share repurchases, dividends, or shareholder yield for a company.'

Replace the single vague verb with multiple concrete actions, e.g. 'Quantify buybacks, dividends, and shareholder yield; assess buyback discipline; and judge whether capital allocation creates or destroys value.'

Include the term 'capital allocation' itself and common variations like 'share repurchases' and 'capital returns' as trigger keywords.

DimensionReasoningScore

Specificity

Names the domain and several concrete topics ('capital deployment, buybacks, dividends, and shareholder yield') but relies on a single vague verb ('Deep dive into') rather than listing multiple distinct concrete actions, so it stops short of the top anchor.

2 / 3

Completeness

It states what the skill does but provides no 'Use when...' clause or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

'buybacks, dividends, shareholder yield' are natural terms a finance user would say, but common variations are missing — notably 'capital allocation' (the skill's own name), 'share repurchases', 'capital returns', and 'stock buyback'.

2 / 3

Distinctiveness Conflict Risk

The capital-allocation niche is fairly specific, but without explicit triggers the description could overlap with broader equity-research or fundamentals analysis skills.

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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