Content
76%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 tight, well-organized reference-style skill body with excellent token efficiency and mostly actionable API guidance. Its main gap is the absence of an explicit step-by-step optimization workflow with validation checkpoints — the content tells you what exists and what to respect, but not in what order to do things or how to verify each stage.
Suggestions
Add a short numbered workflow (e.g., 1. pick an example as a template, 2. construct AxGEPA with an evaluator callback, 3. run optimize() within an explicit budget, 4. verify playbook proposals pass the verification gate, 5. persist optimizer artifacts) so the optimize→evaluate→persist sequence has explicit checkpoints instead of being implied across sections.
Make the core pattern snippet closer to copy-paste ready by showing how `reflection_client`, `options`, `request`, and `evaluator` are constructed, or by naming the specific example file in `examples/` that contains the full working version.
Move the "Relevant API Surface" symbol list into a reference file (or the already-mentioned API.md) and keep only the 2–3 most-used symbols inline, tightening progressive disclosure to a clean overview-plus-pointers shape.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and fact-dense — bullets like "Real network support: yes" and "Treat AxIR as the source of generated package truth" assume Claude's competence with zero padding or explanation of known concepts. Every section earns its tokens, matching the anchor-5 example of lean efficiency. | 5 / 5 |
Actionability | A concrete call-shape snippet ("axllm::AxGEPA engine(reflection_client, options); auto result = engine.optimize(request, evaluator);") plus an explicit API symbol list and the guardrail "Start from package examples for exact native syntax" give mostly executable guidance per anchor 4. Not 5 because the snippet contains unresolved placeholders (reflection_client, request, evaluator) and no includes or construction steps, so it is not copy-paste ready. | 4 / 5 |
Workflow Clarity | The body organizes facts and guardrails rather than a sequenced workflow; the "When To Use" tasks (optimize, mine weaknesses, persist artifacts, bound runs) are listed but any validate-then-proceed sequence is only implicit (e.g., "keep only playbook proposals that pass the verification gate"). This matches anchor 3 — sequence/checkpoints present but implicit — and since optimization runs are batch-style operations lacking explicit validation steps, workflow clarity is capped at 3 by the rubric guideline. | 3 / 5 |
Progressive Disclosure | Good structure for a short skill: clearly labeled one-level pointers ("Package API docs: `API.md` and `axir-api.json`", "Runnable examples: `examples/`") and well-organized sections match anchor 4. Not 5 because no in-skill reference files exist (the pointers target external package docs), and the inline "Relevant API Surface" symbol list is material that could live in a separate reference file — minor organization gaps. | 4 / 5 |
Total | 16 / 20 Passed |