Content
81%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, clear bilingual filter mappings, and six practical recipes, supported by real bundle files. Its main weakness is mild verbosity — the inline concept-mapping table and recipe count could be trimmed and deferred to the reference — and the absence of an explicit filter-validation feedback loop.
Suggestions
Trim or move the ~50-row Common Concept Mapping table into references/finviz_screener_filters.md, keeping only 5-10 representative rows inline so the overview stays lean.
Add an explicit validation/retry checkpoint in Step 4 (e.g., if the script rejects a filter code, re-read the reference, correct the token, and re-run) to lift workflow clarity.
Consider condensing the six Usage Recipes to three with a pointer to a recipes reference file, reducing duplicated filter-code tables.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient — mapping tables, executable command blocks, and recipes earn their place — but the ~50-row concept-mapping table and six full recipes add length that borders on padded relative to a pointer-style overview. Not a 5 because some table rows and recipe detail could be deferred to the reference file. | 4 / 5 |
Actionability | Provides copy-paste-ready `python3 scripts/open_finviz_screener.py` invocations with real flags, a filter-to-code mapping table, and complete recipe filter sets that cover the common cases. Fully executable guidance. | 5 / 5 |
Workflow Clarity | The five-step workflow (load reference → interpret → present for confirmation → execute → report) is clearly sequenced with an explicit user-confirmation checkpoint before execution. Held at 4 rather than 5 because there is no explicit validate/retry feedback loop for invalid filter codes, and the operation is only semi-batch (opens a browser) so the destructive-batch cap does not apply. | 4 / 5 |
Progressive Disclosure | Good one-level-deep structure: the body points to `references/finviz_screener_filters.md` (verified present) and `scripts/open_finviz_screener.py` (verified present) with a Resources section, and keeps quick-start material inline. Not a 5 because the large inline concept-mapping table duplicates content that arguably belongs entirely in the reference file rather than being split cleanly. | 4 / 5 |
Total | 17 / 20 Passed |