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.

Quality

76%

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Securityby

High

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tessl review fix ./skills/value-dividend-screener/SKILL.md

Quality

Content

68%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 body is highly actionable with concrete commands, code, and precise customization pointers, and it points to real one-level-deep reference files. Its main weaknesses are verbosity from duplicating reference content inline and missing validation checkpoints in what is explicitly a batch screening workflow.

Suggestions

Add an explicit validation checkpoint after Step 2 (e.g., confirm the output JSON exists, is well-formed, and returned a non-zero stock count before proceeding to analysis), with a retry/fallback loop — this batch operation currently lacks embedded verification.

Trim the Resources section's re-summary of reference-file contents (Phase 1/2/3 lists, FMP guide breakdown) to one-line pointers; the detail already lives in references/screening_methodology.md and references/fmp_api_guide.md.

Move the large markdown report template out of SKILL.md into a reference file (e.g., references/report_template.md) and reference it, reducing inline bulk while keeping the body actionable.

Dimension	Reasoning	Score
Conciseness	Mostly efficient but padded in places: the Resources section re-summarizes reference-file contents (Phase 1/2/3 bullet lists, API guide breakdown) that already live in references/, and the report template and Step 5 'Key concepts to explain' duplicate methodology material.	3 / 5
Actionability	Fully executable guidance throughout — copy-paste bash commands, JSON-parsing and CSV-export code, and precise line-number references ('modify line 383-388', 'Line 423') for customization cover the common cases.	5 / 5
Workflow Clarity	Steps 1–6 are clearly sequenced, but this is a batch operation (100–300 stocks) with no embedded validation/verification checkpoints after running the script or parsing results; per the batch-operation cap, workflow clarity cannot exceed 3.	3 / 5
Progressive Disclosure	Clear one-level-deep references to real bundle files ('Load references/screening_methodology.md', 'Provide instructions from references/fmp_api_guide.md') with a well-organized Resources section, but some reference content is inlined in SKILL.md rather than kept solely in the referenced files.	4 / 5
	Total	15 / 20 Passed

Description

83%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.

A strong, specific description that concretely states screening criteria and the two-stage API approach while providing an explicit 'Use when' trigger clause. It is mostly distinct and comprehensive, with only minor gaps in trigger-term synonyms and slight overlap risk with broader value-investing skills.

Dimension	Reasoning	Score
Specificity	Names the domain and multiple concrete actions with specific thresholds ('P/E ratio under 20, P/B ratio under 2', '3% or higher', 'two-stage screening using FINVIZ Elite API...followed by FMP API'), but the actions are bundled around screening rather than enumerated as distinct operations.	4 / 5
Completeness	Explicitly answers both what ('Screen US stocks for high-quality dividend opportunities combining value characteristics...') and when ('Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural phrases a user would say ('dividend stock screening', 'income portfolio ideas', 'quality value stocks with strong fundamentals'); a few common synonyms like 'high yield stocks' or 'dividend growth stocks' are absent.	4 / 5
Distinctiveness Conflict Risk	Clear niche (value-dividend screening via a specific two-API approach) with distinct triggers; minor overlap risk with a general value-investing or stock-screening skill via 'quality value stocks'.	4 / 5
	Total	17 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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
Path: skills/value-dividend-screener/SKILL.md
Commit: 51c7907

Reviewed: ~6 hours ago

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