Content
75%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, actionable workflow for an API/MCP skill with concrete examples, clear status handling, and useful feedback loops. The main improvement area is tightening a few explanatory passages and considering whether the parameter reference belongs in a separate file.
Suggestions
Tighten the parameter guidance in step 1 (e.g. the max_size_mb tuning sentences) to bare essentials to improve conciseness.
Show a minimal concrete HTTP-client invocation (with auth context) for the REST download, not just the endpoint path, to push actionability to fully copy-paste ready.
Consider moving the detailed parameter table and compression/format rules into a references file and keeping SKILL.md as an overview to improve progressive disclosure now that the skill exceeds ~140 lines.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and free of generic concept explanation, with a few sentences (e.g. on max_size_mb tuning and part sizing) that could be trimmed without losing value. | 4 / 5 |
Actionability | Provides concrete JSON request examples for both the events and hogql models, a status-handling table, explicit REST endpoint paths, and filename patterns, with minor gaps (no full HTTP-client invocation shown). | 4 / 5 |
Workflow Clarity | A clearly sequenced six-step workflow with a status decision table acting as a checklist and feedback loops (poll again on transient Running, narrow the query on resource failures), with only minor validation gaps. | 4 / 5 |
Progressive Disclosure | A single self-contained SKILL.md with well-organized sections (tools, numbered workflow, notes) and no nested references; no bundle files exist, and the structure is clear though all content is inline. | 4 / 5 |
Total | 16 / 20 Passed |