Content
92%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 skill body with executable code, explicit validation gates, and clean progressive disclosure into three real reference files. The only minor gap is some narrative and terminology prose that could be tightened for token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely efficient — concrete tables, executable code, and a tight output template — but sections like the ISTQB terminology note and some narrative prose around Mozilla guidance add tokens that could be trimmed without losing load-bearing content, sitting just below the lean top anchor. | 4 / 5 |
Actionability | Provides copy-paste-ready artifacts: a full output template, executable `parse_junit` and `infer_severity` Python, a concrete worked example with [GAP] markers, and a YAML bug_spec — specific examples cover the common hand-written and CI-failure cases. | 5 / 5 |
Workflow Clarity | Both flows are clearly sequenced (6-step spine plus F1-F3 CI path) with explicit validation gates — the review checklist emits per-finding pass/fail plus a `block` verdict, gap flags refuse filing on incomplete data, and F3 mandates dedup-before-file, giving strong feedback loops for the destructive/batch act of filing. | 5 / 5 |
Progressive Disclosure | SKILL.md serves as a clear overview with one-level-deep, well-signaled references to three real bundle files (parsers.md, spec-template.md, severity-and-priority-scales.md), each linked by path and scoped by purpose, with no nested-reference chains. | 5 / 5 |
Total | 19 / 20 Passed |