Content
67%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 body is a well-structured operating manual: a deterministic 5-step workflow, an executable recommender command, thorough edge-case narration rules, and a genuinely real, well-indexed bundle. Its main costs are token efficiency — substantial duplication between the Step 3 bullets and the Output Format table — and the absence of a worked example and script-failure handling that would make the guidance fully copy-paste complete.
Suggestions
De-duplicate field semantics: keep the Output Format table as the single field reference and have the Step 3 bullets cross-reference it instead of re-explaining no_api_path, honest_gap, and dropped_secondary_workflows; split the overloaded honest-gap bullet into shorter sub-bullets.
Move the 16-row Output Format table (or the detailed narration rules) into a references/ file and keep a short field summary inline, so SKILL.md reads as an overview with one-level-deep pointers.
Add a worked example — one sample query, the JSON the script returns, and the expected conversational narration — plus one line on what to do if recommend.py fails or returns unexpected JSON; this lifts both actionability and workflow feedback coverage.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | There is no conceptual padding (nothing explains things Claude already knows), but the body duplicates field semantics between Step 3 narration bullets and the Output Format table — e.g. `no_api_path` handling and `dropped_secondary_workflows` are fully explained in both places — and the honest-gap bullet crams disclaimers ("Eligibility does not establish ownership, completeness, freshness or suitability for trading") into a single run-on block. Mostly efficient but could be meaningfully tightened, which matches anchor 3 rather than anchor 4's 'minor instances'. | 3 / 5 |
Actionability | Step 2 gives a copy-paste-ready command ("python3 skills/trading-skills-navigator/scripts/recommend.py --query ... --format json") with documented flags, and Step 3/4 give field-by-field narration and install instructions. It falls short of anchor 5 because there is no worked example (sample query → JSON output → expected narration) and the script path is only given for the repo layout, with no guidance for invoking it in the Web App environment the skill itself says has no repo root. | 4 / 5 |
Workflow Clarity | Five clearly sequenced steps with explicit edge-case recovery: "For `ambiguous`, name every `candidate_personas` entry...", "For `fallback`, state that no persona matched and ask the user to rephrase", and "never present the beginner fallback as an exact intent match". It stops short of anchor 5 because there is no checkpoint for script-level failure (what to do if recommend.py errors or emits unexpected JSON), leaving a minor validation gap. | 4 / 5 |
Progressive Disclosure | All referenced bundle files exist and are one level deep, the Resources section indexes every script/reference/asset with a purpose line, and heavy material is properly externalized (persona table → references/intent_routing.md, setup steps → references/setup_paths.md, corpus → assets/). It is not anchor 5 because the body inlines a 16-row field table and very dense narration rules that partially duplicate the reference material and could be split out. | 4 / 5 |
Total | 15 / 20 Passed |