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 strong, highly actionable skill body with executable commands, deterministic decision logic, and a well-organized bundle whose referenced files all exist. The main improvements are consolidating the repeatedly restated guardrails and moving the forcing-question library into a reference file, plus adding explicit validation checkpoints between workflow steps.
Suggestions
State the 'model + range, never a single number' guardrail once (e.g., in Assumptions) and remove its repetitions in Purpose, Step 3, and Step 5; likewise merge the deal-dek/distinct-from disambiguation into a single section.
Move the forcing-question library to a reference file (e.g., references/forcing_questions.md) and keep a one-line pointer plus the walk discipline in SKILL.md, mirroring how the other references are handled.
Add explicit validation checkpoints after Steps 2–4 (e.g., 'if the top two model fit scores are within 10 points, revisit the brief's consumption-pattern data before proceeding' or 'if the PSM range is degenerate or N < 30, flag and stop').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and actionable with no filler explaining concepts Claude already knows, but the core guardrail ('model + range, never the number') is repeated in Purpose, Step 3, Step 5, and Assumptions, and the deal-desk distinction appears three times ('Do not use for', 'Anti-patterns', 'Distinct from') — slightly more trimming opportunity than the 'minor instances' of anchor 4, yet well short of the padding of anchor 3. | 4 / 5 |
Actionability | Fully executable guidance throughout: exact CLI invocations with flags for all three scripts ('scripts/pricing_model_picker.py --input brief.json --profile saas --output markdown'), explicit input requirements ('≥ 4 questions per respondent: too cheap / bargain / getting expensive / too expensive'), and a copy-paste-ready '--sample' quick example covering the common case. | 5 / 5 |
Workflow Clarity | A clear 5-step sequence with exact commands and ordering discipline ('Run pricing_model_picker first', 'Lock 1-3 before opening 4-6'), and script warnings are surfaced ('Below 30, the script emits a sample-size warning' — 'respect the warning'). It falls short of anchor 5 because there are no explicit validate-and-branch checkpoints after each step (e.g., what to do if fit scores are close or PSM range is degenerate). | 4 / 5 |
Progressive Disclosure | Good structure: a dedicated Scripts section, a References section with one-line descriptions, contextual citations in the workflow, and all seven bundle files (3 scripts, 3 references, 1 asset) exist and are one level deep. Minor gaps: the ~30-line forcing-question library and parts of the anti-pattern list duplicate content belonging in references/packaging_anti_patterns.md and could be split out. | 4 / 5 |
Total | 17 / 20 Passed |