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value-dividend-screener

Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

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 body is highly actionable with executable commands and a real script, but it is verbose (~560 lines) with redundant sections and lacks an explicit validation checkpoint in its batch screening workflow. Progressive disclosure is reasonable but undermined by inlining detail that belongs in the existing reference files.

Suggestions

Add an explicit validation checkpoint after parsing results — e.g., assert data['stocks'] is non-empty and required fields exist — before proceeding to report generation, to satisfy the batch-operation validation expectation and lift workflow_clarity.

Consolidate the duplicate API-call/cost comparisons: present them once in Performance & Cost Optimization and remove the redundant figures from Workflow Step 2 to reduce verbosity.

Move the full markdown report template and troubleshooting details into a reference file (or shorten to a structural outline in SKILL.md) to reduce the monolithic feel and improve progressive disclosure.

DimensionReasoningScore

Conciseness

It avoids explaining concepts Claude already knows and stays domain-specific, but ~560 lines contain notable redundancy — the FMP API-call comparison is restated in both Workflow Step 2 and Performance & Cost Optimization, and the full bracketed report template plus a troubleshooting section restate earlier content, so it could be tightened.

2 / 3

Actionability

Concrete executable bash and python commands, real CLI flags (--use-finviz, --top, --output), line-number customization references, and a copy-paste CSV export block make the guidance fully executable and copy-paste ready.

3 / 3

Workflow Clarity

The 6-step sequence is clearly ordered, but a batch financial operation lacks an explicit validation checkpoint (e.g., confirming data['stocks'] is non-empty and schema-valid before report generation); per the guideline, missing validation in batch operations caps workflow_clarity at 2.

2 / 3

Progressive Disclosure

References are real one-level-deep bundle files (references/screening_methodology.md, references/fmp_api_guide.md, scripts/screen_dividend_stocks.py) that are clearly signaled, but a large volume of detail that could live in those references — the full report template, cost analysis, and API-comparison tables — is inlined, leaving the document somewhat monolithic rather than cleanly split.

2 / 3

Total

9

/

12

Passed

Description

100%

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, complete, and distinctive: it names concrete capabilities with precise thresholds, provides explicit trigger guidance in third person, and occupies a clear niche unlikely to conflict with other skills. No fluff or over-claims are present.

DimensionReasoningScore

Specificity

Lists multiple concrete actions with specific thresholds — "Screen US stocks... combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher)... two-stage screening using FINVIZ Elite API... followed by FMP API" — matching the score-3 anchor of multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers both what (named screening criteria, thresholds, and APIs) and when (a clear "Use when..." trigger clause), satisfying the score-3 anchor for both what AND when.

3 / 3

Trigger Term Quality

The "Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals" clause covers natural phrasings a user would actually say, giving good coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

A narrow value-dividend-growth niche with named APIs and specific thresholds gives a clear, distinct trigger set unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (563 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository
tradermonty/claude-trading-skills
Reviewed

Table of Contents

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