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 body with concrete CLI commands, explicit thresholds, a clear 5-step workflow, and well-organized doctrine sections. The main weaknesses are mild cross-section repetition, the absence of an explicit validate→retry loop, and referenced bundle files that do not exist in the bundle.
Suggestions
State the "assumption block is non-optional" hard rule and the 70/30 blend once in Assumptions and reference it from Workflow, Anti-patterns, and the forcing-question library to remove the repetition.
Add an explicit validate→fix→retry loop to the workflow: if the assumption block is rejected, a leaky cohort is flagged, or pipeline-coverage falls below 3x, revise the intake and re-run the scripts before assembling the deck.
Ship the referenced bundle files (scripts/bookings_forecaster.py, cohort_arr_projector.py, funnel_confidence_scorer.py; references/saas_forecasting_canon.md, cohort_analysis_canon.md, forecast_anti_patterns.md; assets/forecast_intake_template.md) so the one-level-deep references resolve instead of dead-ending.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and domain-specific with no basic-concept over-explanation, but the "theatre" framing and the 70/30 blend are restated across Workflow, Assumptions, Anti-patterns, and the forcing-question library — minor instances that could be trimmed. Not a 5 because the repetition is noticeable; not a 3 because each restatement sits in a distinct functional context and assumes Claude's competence. | 4 / 5 |
Actionability | Fully executable copy-paste-ready commands ("scripts/bookings_forecaster.py --input intake.json --profile saas --output markdown") with specific flags, plus concrete thresholds (CoV HIGH <10% / VERY LOW >50%, 3x coverage floor, 70/30 weighting) and "--help and --sample work on all three". | 5 / 5 |
Workflow Clarity | Clear 5-step sequence (Intake → 3-tier forecast → cohort projection → funnel confidence → assemble deck) with explicit checkpoints ("The assumption block is non-optional", leaky-cohort callout, pipeline-coverage check) and a gated grill sequence. Not a 5 because a true validate→fix→retry recovery loop is not articulated for the main workflow; the scripts produce one-shot markdown rather than re-run-until-valid. | 4 / 5 |
Progressive Disclosure | Good body structure — clear overview, well-signaled one-level-deep references (Scripts/References sections each describe their file's contents), easy navigation. Not a 5 because the referenced bundle files (scripts/*.py, references/*.md, assets/forecast_intake_template.md) are not actually present in the bundle, so the one-level-deep references currently dead-end. | 4 / 5 |
Total | 17 / 20 Passed |