Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A concise, well-structured reference skill with clear sections and signaled external materials. It is held back by a code pattern that uses undefined placeholders and by the lack of an explicitly sequenced refinement workflow with validation checkpoints.
Suggestions
Make the Core Pattern executable by showing how to construct reflection_client, options, request, and evaluator, or point to the specific example file that does.
Add an explicit sequenced workflow (e.g. build request → run optimizer → inspect evaluator feedback → iterate) with a checkpoint for confirming improvement before stopping.
Since the referenced bundle files (API.md, axir-api.json, examples/) are not present, confirm they ship with the skill or note where they live so the signaled navigation is resolvable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence: compact 'Package Facts' and 'Relevant API Surface' bullets and a minimal code pattern, with no padding explaining what C++ or libraries are. | 3 / 3 |
Actionability | The Core Pattern gives a real C++ shape ('axllm::AxGEPA engine(...); auto result = engine.optimize(request, evaluator);') but the operands (reflection_client, options, request, evaluator) are undefined placeholders, so it is not copy-paste executable. | 2 / 3 |
Workflow Clarity | When-to-use and Guardrails give implicit procedural direction, but the generate → evaluate → refine loop is not sequenced as explicit steps with validation checkpoints. | 2 / 3 |
Progressive Disclosure | For a sub-50-line skill, the body is well-organized into clear sections and signals one-level-deep external materials (API.md, axir-api.json, axir-capabilities.json, examples/) by name. | 3 / 3 |
Total | 10 / 12 Passed |