Content
75%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 a well-organized orchestrator overview: lean workflows, concrete script names, and copy-paste bash examples for the main cases. Weaknesses are moderate — no validation/error-recovery checkpoints in workflows, one workflow (budget planning) lacking executable support, and bare-filename references that could be fully pathed.
Suggestions
Add validation checkpoints to workflows (e.g., verify script output parsed as JSON, check inputs are complete before running dcf_valuation.py) and an error-recovery step if a script fails.
Provide an executable example for the Budget Planning workflow, such as a budget_variance_analyzer.py invocation with realistic flags.
Replace bare filenames in the Skill Integration section with the full relative paths used in Integration Examples (e.g., ../../finance/skills/financial-analyst/references/valuation-methodology.md) so references resolve unambiguously.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient — workflows are terse, no concept explanations, and script lists are compact. The 'Success Metrics' section ('Revenue forecasts within 5% of actuals over trailing 4 quarters') measures agent performance rather than guiding execution and could be trimmed, matching 'efficient; minor instances of over-explanation'. | 4 / 5 |
Actionability | Integration Examples gives five copy-paste-ready commands with real flags ('--mrr 80000 --customers 200 --churned 3 --new-customers 15'), and workflows name specific scripts. It falls short of 5 because the budget-planning workflow has no executable example and input formats like financial_data.json are unspecified. | 4 / 5 |
Workflow Clarity | All six workflows are numbered with clear sequencing, and some checkpoints exist ('Flag CRITICAL/WATCH metrics', 'Present with assumptions clearly stated'). No explicit validation of script output or input data is included, so it fits 'clear sequence with most checkpoints present; minor validation gaps' rather than the full feedback-loop anchor. | 4 / 5 |
Progressive Disclosure | Structure is good: an overview role, a Skill Integration section listing scripts/references/assets per sub-skill, workflows, and one-level-deep references signaled in context ('via benchmarks.md', 'via industry-adaptations.md'). The Skill Integration section uses bare filenames without full relative paths (paths appear only in Integration Examples), leaving minor navigation gaps. | 4 / 5 |
Total | 16 / 20 Passed |