Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Highly actionable executable examples in a clean single-file structure, weakened by redundant multi-language examples and a workflow whose steps are listed but not chained together with validation checkpoints.
Suggestions
Drop the Python Step 4 (or move it to a reference file) to eliminate duplication with Step 2 and tighten the 'minimal hello world' scope.
Chain the steps so Step 3 consumes a transcript id returned by Step 2, replacing the literal 'your-transcript-id' placeholder.
Add a brief inline validation checkpoint (e.g., check for a non-empty transcripts array or a GraphQL errors field) between steps rather than relying solely on the separate error-handling table.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids concept-explanation padding, but for a skill titled 'hello world' it carries four code blocks across three languages plus redundant reference tables; the Python Step 4 largely duplicates Step 2, which could be tightened. | 2 / 3 |
Actionability | Every step is fully executable code hitting the real endpoint with concrete GraphQL queries and a shared helper, matching the copy-paste-ready anchor. | 3 / 3 |
Workflow Clarity | Steps 1–4 are sequenced and prerequisites are listed, but the steps are not chained (Step 3 hardcodes 'your-transcript-id' instead of using a Step 2 result) and there is no inline validation checkpoint; error handling sits in a separate table rather than as a feedback loop. | 2 / 3 |
Progressive Disclosure | With no bundle files present, the single SKILL.md is well-organized into Overview, Prerequisites, Steps, reference tables, and Resources/Next Steps with one-level external links, satisfying the simple-skills allowance for well-organized single-file content. | 3 / 3 |
Total | 10 / 12 Passed |