Content
56%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 well-sequenced, validation-aware debugging workflow with sensible hypothesis and strategy frameworks, but its guidance stays at the descriptive level — the example relies on invented APIs, no executable commands exist, and its only external reference is a dangling path to a nonexistent file. Boilerplate sections and template placeholders ($ARGUMENTS) further dilute token efficiency.
Suggestions
Fix the dangling reference: either create the referenced file (and use the conventional references/ directory) or remove the pointer to resources/implementation-playbook.md.
Replace the fabricated aiAnalyze/getSentryData example with real, runnable commands (e.g., actual Sentry API or DataDog CLI queries) or concrete instruction-only guidance, per the code-vs-instruction note.
Delete the 'Use this skill when / Do not use' boilerplate, the persona sentence, and the duplicate trailing '$ARGUMENTS' line; move the detailed category/tool lists into a reference file to slim SKILL.md to an overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly dense, useful lists rather than tutorial prose, but it carries unnecessary padding: the 'Use this skill when / Do not use this skill when' boilerplate duplicates the description, the persona line 'You are an expert AI-assisted debugging specialist' adds nothing, and '$ARGUMENTS' appears twice (lines 30 and 200). It is above anchor 2 (which requires several padded explanation sections) but clearly below the 'lean, every token earns its place' anchor. | 3 / 5 |
Actionability | Steps like 'Probability score (0-100%)', 'Falsification criteria', and named tools give some concrete guidance, but the example is fabricated pseudocode calling nonexistent APIs (aiAnalyze, getSentryIssue, getDataDogTraces) with no executable commands anywhere. This matches anchor 3 ('pseudocode instead of executable code; missing key details') rather than 4, which requires mostly executable code or commands. | 3 / 5 |
Workflow Clarity | The 10-step workflow is clearly sequenced (triage → observability → hypotheses → strategy → instrumentation → RCA → fix → validation → prevention), and step 9 provides explicit validation with success criteria ('Tests pass', 'No performance regression', 'Error rate unchanged or decreased'). It falls short of anchor 5 only because there is no explicit error-recovery loop (what to do when validation fails is left implicit). | 4 / 5 |
Progressive Disclosure | The body has good section headers, but the single external reference — 'open resources/implementation-playbook.md' — points to a file that does not exist (no resources/, references/, scripts/, or assets/ directories in the bundle), and ~200 lines of detailed workflow that could live in reference files are inlined. Anchor 3 ('references present but not clearly signaled; content that should be separate is inline') fits; not 2 because the in-file structure itself is well organized and navigable. | 3 / 5 |
Total | 13 / 20 Passed |