Content
86%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 well-organized, highly actionable skill body with concrete commands, a clear workflow, and properly split one-level-deep references that all resolve. It is held back from a perfect conciseness score by repeated distinctiveness framing and lacks an explicit validation checkpoint in the workflow.
Suggestions
Consolidate the distinctiveness messaging — pick one home for it (the Distinct-from table or Anti-patterns) and drop the duplicated framing elsewhere to tighten the body.
Add an explicit validation checkpoint to the Workflow, e.g. after building the budget, confirm the assumptions block and F&A rate provenance before tracking burn/routing treatment.
In the forcing-question library, the closing line restates the tool invocation order already covered in Workflow — consider trimming to avoid re-statement.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense but largely lean — it does not re-explain basics Claude already knows, and each section earns its place. The main trim candidate is redundancy: the 'Distinct from' framing is restated in the description, the Distinct-from table, and the Anti-patterns section. | 4 / 5 |
Actionability | Provides copy-paste-ready commands with concrete flags and profiles (e.g. 'program_budget_planner.py --input program.json --profile {pharma-rd|...} --fa-rate <negotiated rate>', '--sample', '--output {human,json}') and a Quick examples block covering the common cases. | 5 / 5 |
Workflow Clarity | A clear 5-step numbered workflow (lay out program → build budget → track burn/runway → route treatment → assemble review) each with its concrete command. It lacks an explicit validate-and-verify checkpoint, though the tools are non-destructive decision-support so the destructive-cap does not apply. | 4 / 5 |
Progressive Disclosure | Well-structured overview with one-level-deep, clearly signaled references (canon, burn/portfolio, indirect-rate-modeling) and bundled scripts/assets, each annotated with a one-line purpose; all referenced paths resolve to real bundle files. | 5 / 5 |
Total | 18 / 20 Passed |