Content
71%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, lean command skill with a concrete invocation, sensible interactive fallback, and an explicit error checkpoint for the optional baseline step. Its main defects are that the referenced bundle scripts (hub_init.py, result_ranker.py) are missing from the actual bundle, leaving the primary workflow unresolvable, and a few underspecified details such as how to extract the metric from eval output.
Suggestions
Include the referenced scripts (scripts/hub_init.py, and result_ranker.py or a pointer to where it lives) in the bundle, or remove/inline the instructions if the bundle is meant to be a standalone SKILL.md.
Specify how to extract the metric from eval stdout (e.g., expected output format or a concrete jq/python one-liner) in the Baseline Capture section, including the exact YAML line format for appending baseline: {value}.
Merge the "After Init" section into the Output examples to remove the duplicated next-step and baseline recap, and trim one of the two near-identical output blocks.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient — parameter lists, a concrete bash command, and compact examples with no padding or explanation of concepts Claude already knows. It falls short of lean/5 because of redundancy: the "After Init" section largely restates the "Next step" and baseline lines already shown in the Output blocks, and two full output examples repeat the same structure for the two modes. | 4 / 5 |
Actionability | The core path is executable — "python {skill_path}/scripts/hub_init.py --task \"{task}\" --agents {N} [--eval ...] [--direction ...]" with a specific interactive parameter checklist including defaults (agent count 3, current branch). Minor gaps keep it from 5: "Extract the metric value from stdout" gives no format or extraction method for the metric, and the append of "baseline: {value}" to config.yaml lacks an exact line format. | 4 / 5 |
Workflow Clarity | The sequence is clear and ordered: run the init script (or collect parameters interactively), then "Baseline Capture" with numbered steps, then tell the user the next step — and the baseline step includes an explicit error checkpoint ("If the eval command fails at this stage, warn the user but continue — baseline is optional"). Not a 5 because there are no validation checkpoints after session creation (e.g., verifying config.yaml was written) before telling the user init succeeded. | 4 / 5 |
Progressive Disclosure | The body is well-sectioned and its references are clearly signaled and only one level deep ("{skill_path}/scripts/hub_init.py", "result_ranker.py --baseline"), which alone would suggest 4–5. However, scored against the actual bundle structure, no scripts/ directory exists and neither referenced script is present, so the navigation leads nowhere — a larger defect than the "minor organization gaps" of the 4 anchor and closer to the 3 anchor where references fail to deliver. | 3 / 5 |
Total | 15 / 20 Passed |