Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with executable commands and well-structured tables, and uses progressive disclosure cleanly with one real reference file. It is held back by long prose sections and a workflow presented as a graph rather than explicit numbered validation checkpoints.
Suggestions
Tighten the Resume and Batch Size & Concurrency sections into terser bullet points or a table to cut tokens while preserving the key facts.
Re-express the Workflow as a short numbered sequence with explicit validation checkpoints (e.g., verify env vars -> start -> poll status -> on failure inspect logs/revise config -> restart) rather than relying on the graphviz diagram alone.
Add a one-line validation note in the Start section pointing to the env-var precheck so the feedback loop is explicit in the runnable steps, not only in Troubleshooting.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with dense tables and no beginner-concept filler, but the Resume and Batch Size & Concurrency sections run long in prose and could be tightened to respect the token budget. | 2 / 3 |
Actionability | Provides fully executable CLI commands with real flags, a complete arguments table, concrete examples for foreground/direct-CLI/resume, and copy-paste ready invocations. | 3 / 3 |
Workflow Clarity | A graphviz diagram plus prose conveys the check→start→status→done/stop/fix flow, but the multi-step process lacks crisp numbered steps with explicit validate→fix→retry checkpoints in the main text; recovery is implied rather than enumerated. | 2 / 3 |
Progressive Disclosure | SKILL.md is a well-organized overview that signals a single one-level-deep reference (references/programmatic-api.md, verified to exist) for advanced programmatic use, with content appropriately split and easy to navigate. | 3 / 3 |
Total | 10 / 12 Passed |