Content
78%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.
A well-structured, mostly executable skill body with good progressive disclosure and a clear step sequence. The main gaps are a hardcoded ticker placeholder, approximate reaction-window logic, and data-validation logic that lives in the reference rather than the main workflow.
Suggestions
Add an inline guard in Step 2/3 to check that earnings_history is non-empty before indexing, so the main workflow has an explicit validation checkpoint rather than relying on the reference file.
Parameterize the ticker clearly (e.g., a named variable extracted from the user request) instead of a hardcoded 'AAPL' with a comment, to make the core script copy-paste ready.
Tighten the intro and remove the price-reaction tips duplicated between the body and references/api_reference.md to reduce token overlap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with code blocks and tables carrying the load, but includes minor over-explanation ('a complete picture of what happened') and some content that overlaps the reference file (price-reaction tips appear in both). | 4 / 5 |
Actionability | Provides concrete, executable Python for data gathering, price reaction, and margin calculations, but the ticker is hardcoded with a 'replace with actual ticker' placeholder and the reaction-window logic is acknowledged as approximate. | 4 / 5 |
Workflow Clarity | A clear five-step sequence with an install-validation checkpoint in Step 1, but the body itself lacks an explicit validation step for the fetched data (empty/None earnings_history handling is delegated to the reference file rather than inline). | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed steps with a single one-level-deep reference (references/api_reference.md, verified present) that is explicitly signaled and reserved for method signatures and edge cases. | 5 / 5 |
Total | 17 / 20 Passed |