Content
60%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-organized, operational body with a clear five-step workflow, but it is a storefront for a bundle that is not there: every script, reference, and template the workflow depends on is missing, which breaks both navigation and actual executability. The written guidance is otherwise concrete and mostly token-efficient, aside from repeated boundary mantras.
Suggestions
Ship the bundle or remove the dependencies: the three scripts, the three references/*.md files, and assets/pricing_brief_template.md referenced throughout do not exist in the skill directory — either include them or drop the references (progressive_disclosure).
Add a script-free fallback for Steps 2-4: the workflow is entirely script-driven, so inline the deterministic decision rules already present in the forcing-question library (e.g., "variance > 10x → usage-based wins; variance < 3x → subscription wins") so the workflow survives a missing script (actionability).
De-duplicate the boundary mantras: the "recommends a range, never a single number" principle appears in Purpose, Step 3, Step 5, Assumptions, and Anti-patterns, and the deal-desk distinction appears three times — consolidate each into a single section (conciseness).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is operational and skill-specific (script invocations, "variance > 10x → usage-based wins" heuristics, an anti-pattern catalog) with no explanation of concepts Claude already knows. Not 5: the "range, not a single number" principle is repeated in Purpose, Step 3, Step 5, Assumptions, and Anti-patterns, and the deal-desk boundary appears three times (When to use, Anti-patterns, Distinct from) — trimmable redundancy. | 4 / 5 |
Actionability | Commands are concrete with full flags ("pricing_model_picker.py --input brief.json --profile saas --output markdown", "--help and --sample work on all three") plus deterministic decision logic. However, the executable core is absent from the bundle: none of the referenced scripts, reference docs, or the brief template exist, so no command can actually run — complete as written but missing the implementation it depends on, which is the anchor-3 condition. | 3 / 5 |
Workflow Clarity | Five clearly sequenced steps with per-step inputs/outputs, a conditional branch ("If you have survey data"), and script-emitted checkpoints ("Below 30, the script emits a sample-size warning", anti-pattern flags). Not 5: there is no fix/retry guidance when a checkpoint fires, and the sequence cannot be executed end-to-end because the scripts are missing. Not 3: checkpoints are explicit, not implicit. | 4 / 5 |
Progressive Disclosure | The body signals references well (Scripts and References sections with one-line descriptions, one level deep), but the bundle contains only SKILL.md — scripts/pricing_model_picker.py, scripts/wtp_analyzer.py, scripts/packaging_designer.py, references/saas_pricing_canon.md, references/van_westendorp_methodology.md, references/packaging_anti_patterns.md, and assets/pricing_brief_template.md all do not exist. Navigation to every referenced path fails, so the disclosure structure is nominal and the skill ships as an incomplete monolith. Not 1: the SKILL.md itself is well-sectioned and references are clearly signaled, not buried. | 2 / 5 |
Total | 13 / 20 Passed |