Content
46%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.
The body lays out a thorough, well-sequenced audit process, but it is long, partly abstract, and lacks the validation feedback loops expected for a batch site-wide operation, with no progressive disclosure via bundle files.
Suggestions
Add explicit validation/checkpoint steps for the batch run (e.g., verify the analyzer JSON parsed, confirm post count matches discovered files, retry on partial failure) so workflow clarity can exceed 3.
Move the per-layer scoring criteria and report table templates into reference files under references/ and link to them one level deep, keeping SKILL.md as a concise overview.
Tighten the directory/path lists and repeated layer descriptions to reduce token overhead without losing the actionable detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and action-oriented, but the long enumerated path lists, repeated layer descriptions, and full report-table templates add length that could be tightened without losing clarity. | 3 / 5 |
Actionability | It provides one concrete executable command ('python3 scripts/analyze_blog.py <blog-root> --batch --format json') and detailed per-layer checks, but many sections remain abstract descriptions and the report output is placeholder tables rather than executable guidance. | 3 / 5 |
Workflow Clarity | The seven steps are clearly sequenced, but this is a batch operation over an entire site with no explicit validation checkpoints or fix-and-retry feedback loops, so workflow clarity is capped at 3 per the batch-operation rule. | 3 / 5 |
Progressive Disclosure | The skill is a monolithic ~240-line SKILL.md with no references/, scripts/, or assets/ bundle and no split-out detailed material, so content that could live in separate files (per-layer criteria, report templates) is inlined. | 2 / 5 |
Total | 11 / 20 Passed |