Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A compact, well-organized methodology skill with a ready-to-use output template, weakened mainly by abstract core technique guidance and an implicit rather than explicit validation feedback loop.
Suggestions
Add one concrete worked example of counter-hypothesis testing (a sample claim, a counter-hypothesis, and the resulting verdict) to lift actionability.
Make the feedback loop explicit: after a ⚠️/❌ verdict, state the re-investigation gate (e.g., "re-test up to 3 cycles, only PASS when all claims are ✅ or justified ⚠️") so workflow clarity reaches the validation-checkpoint anchor.
De-duplicate the ✅/⚠️/❌ legend, which appears both in the methodology step and again in the Confidence Levels section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: it states methodology, a compact output template, confidence levels, and a spawn command without explaining what fact-checking is or padding with concepts Claude already knows; nearly every token earns its place. | 3 / 3 |
Actionability | The output-format table and the ceremony spawn template are copy-paste ready, but the core methodology steps ("Generate counter-hypotheses and test them against available data") stay abstract without a concrete technique or worked example, leaving guidance incomplete. | 2 / 3 |
Workflow Clarity | A clear 4-step review sequence is present and confidence flags act as a checkpoint, but the validation/feedback loop is mostly implicit — there is no explicit "re-test until resolved" gate tying the ✅/⚠️/❌ verdicts back to a retry decision. | 2 / 3 |
Progressive Disclosure | This is a short single-purpose skill (under 50 lines, no bundle files) organized into clearly labeled sections (Context, Pattern, Confidence Levels, Ceremony Integration), so the simple-skill carve-out applies and structure alone earns full credit. | 3 / 3 |
Total | 10 / 12 Passed |