Content
85%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 instruction skill with explicit validation checkpoints, executable examples, and clean one-level-deep progressive disclosure; only minor conciseness and code-completeness gaps.
Suggestions
Trim the 'Knowledge Reference' keyword list and redundant MUST/MUST NOT entries that restate workflow checkpoints to tighten the token budget.
Make code examples more self-contained (show the flag/config source or mock the imported services) so they run without assumed external modules.
Drop the external documentation URL and version metadata from the body if they add no runtime guidance value.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with concrete code and workflows, but the trailing 'Knowledge Reference' keyword list and a few restated constraints add minor padding. Not quite level 5 because not every token earns its place. | 4 / 5 |
Actionability | Provides executable Python (facade, feature flag, pytest) and concrete validation thresholds, but examples assume external imports/services rather than being fully copy-paste runnable end-to-end. | 4 / 5 |
Workflow Clarity | Five sequenced steps each with an explicit 'Validation checkpoint' and feedback loop (e.g., traffic increments 5%->25%->50%->100%), matching the checklist-with-validation anchor. | 5 / 5 |
Progressive Disclosure | A reference table signals one-level-deep, real files (strangler-fig-pattern.md, migration-strategies.md, etc. all present in references/) with a clear 'Load When' column for navigation. | 5 / 5 |
Total | 18 / 20 Passed |