Content
57%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 is information-dense with real benchmark data, formulas, and diagnostic questions, but it functions as a well-organized reference card rather than a sequenced workflow, and its entire progressive-disclosure structure is broken by the missing bundle files. Redundant sections (Keywords, chain-of-thought meta-guidance) spend tokens the description already covers.
Suggestions
Add an explicit numbered workflow at the top (read company-context.md → run diagnostic questions → select framework from the responsibilities table → produce the mapped Output Artifact → pass through the Internal Quality Loop), and position Quick Start as the step that follows diagnosis rather than preceding it.
Ship the referenced bundle files (references/sales_playbook.md, references/pricing_strategy.md, references/nrr_playbook.md, scripts/revenue_forecast_model.py, scripts/churn_analyzer.py) or remove the dangling references — as bundled, every pointer leads nowhere and the skill is effectively a single monolithic file.
Delete the Keywords section (the frontmatter description already carries the triggers) and fold the two-line 'Reasoning Technique' note into the forecasting section, tightening token usage without losing guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The benchmark tables, formulas, and diagnostic questions are dense and genuinely additive, but the ~40-term "Keywords" section duplicates trigger terms already in the frontmatter description, and "Reasoning Technique: Chain of Thought" ("Pipeline math must be explicit... Question any assumption above historical averages") is meta-guidance that adds little. This is more than the 'minor instances' of level 4 but well short of the heavily padded level 2. | 3 / 5 |
Actionability | Concrete, executable elements abound: runnable commands ("python scripts/revenue_forecast_model.py"), specific diagnostic questions with thresholds ("Under 3x is a problem"), exact formulas ("Magic Number: Net New ARR × 4 ÷ Prior Quarter S&M Spend"), and a request→artifact mapping table. Not level 5 because the deeper execution detail (what the scripts do, how to structure each analysis) is delegated to reference files that are absent from the bundle, leaving gaps in the common cases. | 4 / 5 |
Workflow Clarity | A coherent flow exists implicitly (read company-context.md → diagnostic questions "Ask these before any framework" → apply framework → produce Output Artifact → Internal Quality Loop), but it is never sequenced; sections read as a reference compendium. Quick Start jumps straight to running scripts without connecting to the diagnostic step, and checkpoints are implicit. This matches level 3's 'sequence present but checkpoints missing or implicit'; the destructive-operation cap does not apply since this is advisory work. | 3 / 5 |
Progressive Disclosure | References are clearly signaled (Resources section plus a Reference column in the responsibilities table) and one level deep, with the body kept at overview altitude. However, the bundle contains no references/, scripts/, or assets/ directories — every referenced path (sales_playbook.md, pricing_strategy.md, nrr_playbook.md, both scripts, and ../agent-protocol/SKILL.md) is dangling, so the disclosure structure cannot actually deliver. Scored against the actual (empty) bundle structure, this caps at level 3. | 3 / 5 |
Total | 13 / 20 Passed |