Content
71%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 strong, information-dense reference for earnings revision analysis with concrete thresholds, decision rules, and a clear pre/post-event workflow. The main weaknesses are formula-style pseudocode rather than executable snippets, and a monolithic single-file structure where a skill of this size would benefit from split reference files.
Suggestions
Move the detailed lookup tables (guidance language patterns, earnings quality red flags, US/HK differences) into references/ files (e.g., references/guidance-language.md, references/earnings-quality.md) and keep SKILL.md as an overview with clearly signaled links.
Make the code blocks executable: complete `score_guidance_change` with an explicit return value and turn the SUE/breadth formulas into runnable functions or a small analysis script in scripts/.
Add explicit validation checkpoints to the workflow for data availability (e.g., what to do when real-time consensus data is unavailable) with a fallback path.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and high-signal — tables, formula blocks with interpretation thresholds, and checklists rather than padded prose, and it largely assumes financial-domain competence. Minor trimming opportunities exist, e.g., the "most robust anomaly in equity markets" framing sentence and repeated interpretation commentary that could be compressed. Not a 5 because a few explanatory asides restate well-known concepts. | 4 / 5 |
Actionability | Most guidance is concrete and immediately usable: exact formulas with decision thresholds (SUE > +2, breadth > +0.5, dispersion > 15%), a structured guidance-scoring function, specific API calls (`ticker.earnings_dates`, `yf.Ticker("0700.HK").financials`), and a full output template. It stops short of a 5 because the Python blocks are formula-style rather than fully executable — e.g., `score_guidance_change` never returns a value and SUE variables are undefined placeholders. | 4 / 5 |
Workflow Clarity | The pre-earnings and post-earnings checklists give a clear, well-ordered sequence from consensus snapshot through price/volume reaction, feeding directly into the output format. Minor gaps only: no explicit checkpoints for confirming data availability or handling missing consensus/guidance data. Not a 5 because there are no validation/feedback loops (e.g., what to do when yfinance lacks consensus data), though this is an analysis skill rather than a destructive or batch operation. | 4 / 5 |
Progressive Disclosure | Section headers and tables give the ~230-line body reasonable internal structure, but everything is inlined in SKILL.md with no bundle files (references/, scripts/, assets/ do not exist). Self-contained reference material — guidance language patterns, earnings quality red flags, the US/HK comparison table — clearly belongs in separate reference files at this size, so it matches the "some structure but content that should be separate is inline" anchor rather than the well-split anchor 4. | 3 / 5 |
Total | 15 / 20 Passed |