Content
93%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, executable skill body that pairs a complete parser with concrete gating rules and offloads depth to verified one-level references. Its only gap is the absence of an inline validation feedback loop in the gating workflow, which is otherwise delegated to a reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and dense — worked example, a complete executable parser, gate rules, an anti-pattern table, and limitations, all with no padding or explanation of concepts Claude already knows; every token earns its place. | 5 / 5 |
Actionability | Fully executable copy-paste-ready `parse_lcov.py`, a concrete worked `.info` record, and specific gate thresholds (N=0.5, M=5, 80/70), with the diff/gate/CI implementation placed in verified reference files. | 5 / 5 |
Workflow Clarity | The 4-step "How to use" sequence is clear with validation guidance (recompute totals, cache baseline, gate on three rules), but the batch/gate operation delegates the diff+gate+CI to a reference and lacks an explicit inline validate→fix→retry feedback loop in the body, keeping it just below the top anchor. | 4 / 5 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references to real bundle files (references/cobertura.md and references/format-diff-and-ci.md, both verified present), content appropriately split, and easy navigation via a References section. | 5 / 5 |
Total | 19 / 20 Passed |