Content
78%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, well-structured advisory body: concrete commands with embedded sample data, quantified benchmarks, four sequenced workflows, and a consistent output format. The two real weaknesses are that every referenced bundle file (4 references, 3 scripts) is missing from the delivered bundle, and workflows lack explicit validation/recovery loops when analysis output looks wrong.
Suggestions
Ship the referenced bundle files: add the four references/*.md files and three scripts/*.py tools to the bundle (or inline the essential content), since every 'Run' and 'See references' command currently points to a non-existent path.
Add explicit validation checkpoints to workflows — e.g., in Workflow 1, a step like 'If decomposition shows GRR < 90% but NRR ≥ 110%, flag masked churn and re-run root-cause categorization before finalizing the mitigation plan.'
Trim token spend: the Keywords line and the trailing Version/Status/Disclaimer footer duplicate metadata already in frontmatter and could be shortened or removed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean: terse table-based frameworks (retention thresholds, 4-tier segmentation, coverage ratios, role distinctions), trap statements, and no filler explaining concepts Claude already knows. Minor trimmable token spend: the long Keywords line, and the trailing version/status/disclaimer block duplicating frontmatter metadata — the level-4 'minor instances that could be trimmed' anchor, not level 5 where every token earns its place. | 4 / 5 |
Actionability | Copy-paste-ready commands in Quick Start with embedded samples ("python scripts/retention_decomposition_analyzer.py # embedded B2B SaaS sample" and file-argument variants), concrete numeric benchmarks throughout ("≥ 90% at growth; ≥ 95% at scale", "$2M-5M ARR-per-CSM"), a defined output template, and four worked workflows — specific examples cover the common cases, matching the level-5 anchor. | 5 / 5 |
Workflow Clarity | Each workflow has a goal, duration, and numbered sequence with explicit commands and a defined output ("Output: top-3 leakage points + 90-day mitigation plan"). Threshold checkpoints exist ("For each cohort showing GRR < 90%") and cross-checks against other CCO/CPO/CFO skills act as validation, but feedback/recovery loops are implicit — no 'if the numbers don't reconcile, do X' step. Level-4 'clear sequence with most checkpoints; minor validation gaps' rather than level 5's explicit error-recovery loops. | 4 / 5 |
Progressive Disclosure | Good on-page structure: each core-responsibility section is a concise overview with clearly signaled one-level-deep links ("See references/retention_decomposition.md for the 7-category churn taxonomy") and a References index with per-file descriptions. However, scored against the actual bundle: no references/, scripts/, or assets/ directories exist, so the four referenced .md files and three referenced .py scripts are dangling paths — navigation breaks at the first link. This drops it from level 5 (verified well-signaled references) to level 4 (good structure, minor organization gaps), not level 3, since the SKILL.md itself splits content appropriately and the in-page tables keep it self-sufficient for most decisions. | 4 / 5 |
Total | 17 / 20 Passed |