Content
68%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is highly actionable with executable commands and good reference structure, but it is verbose (duplicating reference material inline) and lacks validation checkpoints for its batch API workflow, capping workflow clarity.
Suggestions
Remove the inlined RSI formula derivation and the 12/15/20% dividend compounding yield-on-cost tables from the body — this material already lives in references/dividend_growth_compounding.md and rsi_oversold_strategy.md; reference them instead.
Add an explicit validation/verification checkpoint in the screening workflow (e.g., verify API responses and confirm candidate counts before ranking) to support the batch API flow and lift workflow clarity above 3.
Trim the 'Understanding the Results' prose (RSI 25-30/30-35/35-40 entry tables and 'Key Insight') to a brief pointer into the RSI reference file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient but padded with concepts Claude already knows — the RSI formula derivation ('RSI = 100 - (100 / (1 + RS))'), the multi-year dividend compounding yield-on-cost tables for 12/15/20% CAGR, and 'Key Insight' prose duplicate material already in the reference files. | 3 / 5 |
Actionability | Fully copy-paste-ready executable commands with full paths and flags (e.g. 'python3 skills/.../screen_dividend_growth_rsi.py --use-finviz --min-yield 2.0'), covering both two-stage and FMP-only modes plus API-key handling and customization. | 5 / 5 |
Workflow Clarity | Step 1–4 sequence and dual-mode paths are clear, but this batch API screener lacks explicit validation/verification checkpoints (no 'verify candidates before ranking' or API-error feedback loop), so per the batch-operation cap it cannot exceed 3. | 3 / 5 |
Progressive Disclosure | Well-structured with clearly signaled one-level-deep references to real files (rsi_oversold_strategy.md, dividend_growth_compounding.md, fmp_api_guide.md, all present in references/), though some detail (RSI formula, compounding tables) is inlined in the body rather than fully deferred to those references. | 4 / 5 |
Total | 15 / 20 Passed |