Content
82%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 highly actionable, well-sequenced operational skill: the analyzer-first mandate, guarded commands, exact flag documentation, and complete output templates leave little ambiguity about what to execute. The main costs are mild redundancy (repeated disclaimers, path lists duplicated, scoring tables inlined alongside the reference that owns them) and the absence of an error-recovery path if the analyzer itself fails.
Suggestions
State the authorship-disclaimer rule once (e.g., in Step 3) and drop the repeats in the description, report template, and JSON example — the report template line '- These observations do not infer authorship' can reference the rule instead of restating it.
Trim Step 2's full per-check point tables to the category structure and point totals, deferring the pass criteria to quality-scoring.md, which the skill already designates as the 'full scoring checklist' — this removes the duplication and shrinks the body substantially.
Add one feedback-loop line for analyzer failure (e.g., 'If analyze_blog.py exits nonzero or emits invalid JSON, report the error and stop — do not fabricate scores'), and list the reference paths once in the opening block instead of repeating them in Steps 2, 4, 4.5, and 4.6.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational — exact commands, flag tables, pass-criteria tables, and output templates, with no explanation of concepts Claude already knows and deliberate anti-duplication ('Do not restate band numbers here'). It drops to 4 rather than 5 because the advisory-diagnostics authorship disclaimer is repeated four times, the reference path list appears twice, and Step 2's full point tables duplicate the referenced quality-scoring.md 'full scoring checklist'. | 4 / 5 |
Actionability | Fully executable guidance throughout: a copy-paste-ready guarded bash snippet (absolute-path case check, env-var fallback), an exact argparse flag table for analyze_blog.py, per-check pass criteria with point values, and complete markdown/JSON/table/batch output templates covering the common cases. Judgment steps are concretely bounded ('say which sub-score you changed and why'). | 5 / 5 |
Workflow Clarity | A clear numbered sequence (Step 0 analyzer-first through Step 5 report) with explicit validation checkpoints: the absolute-path guard that exits on error, URL safety checks (scheme allowlist, DNS resolution, private/loopback IP blocking), and batch per-file error fields that do not abort the run. It is 4 rather than 5 because there is no error-recovery feedback loop — e.g., nothing says what to do if the analyzer itself fails or emits malformed JSON; it is not 3 because checkpoints are explicit and batch errors are surfaced rather than silently dropped. | 4 / 5 |
Progressive Disclosure | References are clearly signaled with one-line descriptions of each document's purpose, and thresholds are deliberately delegated to the single source table in quality-scoring.md rather than restated. It is 4 rather than 5 because no bundle files ship in this skill's own directories (all references/scripts point at sibling paths), Step 2's full scoring tables arguably belong in the referenced checklist, and the orchestration chain (this SKILL.md → orchestration-details.md → blog/SKILL.md's fenced helper → project files) runs two levels deep. | 4 / 5 |
Total | 17 / 20 Passed |