Content
77%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, highly actionable skill body: the workflow is explicitly sequenced with validation gates and feedback loops, and detail is appropriately offloaded to real, well-signaled reference files. The main weakness is token efficiency — the evidence-gate rule is repeated many times and prose is over-qualified, which could be consolidated without losing operational force.
Suggestions
State the current-evidence gate / Proxy-candidate rule once (e.g., in the Skill Contract or Step 2) and reference it elsewhere instead of restating it in Data Sources, Steps 2 and 7, and the Example.
Tighten the Data Sources section's long compound sentences (e.g., the source-specific sharpeners paragraph) by moving the platform-scope caveat to the single gate rule it repeats.
Inline the four rss_monitor.py invocations (or at least one example call with --limit) next to the trend-scout-recipe link so the Tier-1 scout is executable directly from the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body contains no filler or explanations of concepts Claude already knows, but the current-evidence gate / "Proxy candidate/NOT_SCORED/NEEDS_INPUT" rule is restated roughly six times (Skill Contract, Data Sources twice, Steps 2 and 7, and the Example), and sentences are long with heavy repeated qualification ("for the exact platform/geography/window"). It is mostly efficient but could be noticeably tightened by consolidating the gate rule into one stated location. | 3 / 5 |
Actionability | Concrete runnable commands are given (tavily.py search with flags, pageviews.py with --granularity/--days, the keyless HN Algolia URL) and every workflow step points to a fill-in template block in references/templates.md. It falls short of fully copy-paste-ready coverage because some executions (e.g., the rss_monitor.py invocations) live only in the referenced recipe file rather than the body, and step details are delegated to templates. | 4 / 5 |
Workflow Clarity | Seven numbered steps are clearly sequenced, each mapped to a template, with an explicit current-evidence validation gate (Step 2) that stops factual output, a NEEDS_INPUT feedback loop with an exact collection plan, a three-item done-when checklist, and termination/handoff-depth rules. This matches the anchor for clear sequence with explicit validation steps and error-recovery loops. | 5 / 5 |
Progressive Disclosure | The split is deliberate and stated ("The SKILL.md keeps the numbered method; the long tables and report scaffolds live here"), with both bundle references (references/templates.md, references/trend-scout-recipe.md) verified as real, one level deep, and clearly signaled with descriptions of their contents. The body is a clear overview with easy navigation and no content that should have been kept inline. | 5 / 5 |
Total | 17 / 20 Passed |