Content
86%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 content is a strong, well-structured skill: clear routing to six sub-skills, fully executable code for the core analyses, honest limitation notes, and a well-organized one-level-deep reference file that delivers everything the body promises. Weaknesses are minor — some trimmable explanatory padding and a few missing validation checkpoints for flaky upstream data.
Suggestions
Trim the motivational opening ('Liquidity matters because...') and the 'Illiquidity premium' educational note; Claude already knows why liquidity matters, so these tokens can be reclaimed.
Add a brief validation/retry checkpoint after data fetching: what to do when yfinance returns partial info (bid/ask of 0/None) or times out, e.g. one line pointing to the reference's 'Edge Cases and Gotchas' section.
Clarify or generalize the host-specific '!' shell-probe preamble (line 16), which reads as tailored to one host environment; a single generic 'check dependencies before proceeding' instruction would be clearer.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient — routing tables, defaults, executable functions, and checklists all earn their tokens — but contains minor over-explanation that could be trimmed: the motivational paragraph 'Liquidity matters because it determines the real cost of trading. The quoted price is not what you actually pay', the educational 'Illiquidity premium' note, and the host-specific '!' shell-probe preamble. It is not a 5 because a few passages explain concepts Claude already knows; it is not a 3 because padding is incidental, not pervasive. | 4 / 5 |
Actionability | Sub-skills A, B, C, E, and F include complete, copy-paste-ready Python functions covering the common cases (dashboard, spread, volume, impact curve, turnover), and the two sections without inline code (B2, D1) point to verified sections in references/liquidity_reference.md containing the full templates. It is not a 4 because the guidance is fully executable end-to-end, with data access, computation, and presentation output all specified. | 5 / 5 |
Workflow Clarity | The three-step sequence (dependency probe with DEPS_MISSING feedback loop, routing table with explicit request-to-sub-skill mapping, response checklist) is clear, with empty-data handling in code and mandatory caveats. It is not a 5 because some validation gaps remain — no guidance for retrying or degraded results when yfinance calls fail intermittently (a known flakiness), and no explicit checkpoint that fetched quote fields (bid/ask) were actually populated before interpreting spreads. It is not a 3 because checkpoints for the main failure modes (missing deps, empty history, invalid tickers) are present and explicit. | 4 / 5 |
Progressive Disclosure | Structure is clean: a routing table and defaults up front, core sub-skills with inline code, and a single one-level-deep reference (references/liquidity_reference.md, 438 lines with its own table of contents) that genuinely contains the sections the body signals ('Options Spread Analysis' §341, 'Order Book Depth Proxy' §363), plus a closing 'Reference Files' section stating when to read it. It is not a 4 because navigation is easy and the split is appropriate with no orphaned or nested references. | 5 / 5 |
Total | 18 / 20 Passed |