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 lean, well-organized body with a concrete core code pattern, precise package facts, and clearly signaled one-level-deep pointers to package docs and examples. Its only gaps are undefined variables in the code snippet and the lack of an explicitly sequenced workflow with validation checkpoints.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section is factual and lean ('Language: Rust.', 'Real network support: yes.') with no explanations of concepts Claude already knows; the body assumes competence and every token earns its place. | 5 / 5 |
Actionability | The Core Pattern gives real Rust syntax ('let helper = axllm::agent("question:string -> answer:string")?; let out = helper.forward(&llm, inputs, None)?;') and the API surface names are precise, but `llm` and `inputs` are undefined and no import/setup context is given, so it is not copy-paste ready. | 4 / 5 |
Workflow Clarity | Guardrails imply a sound approach ('Start from package examples for exact native syntax', 'Use `no-key` examples for deterministic local checks' — a verification checkpoint), but no explicitly sequenced steps are given for wiring a runtime end to end. | 4 / 5 |
Progressive Disclosure | The skill is under 50 lines with well-organized sections; package materials ('API.md', 'axir-api.json', 'axir-capabilities.json', 'examples/') are clearly listed one level deep in Package Facts with no nested references. | 5 / 5 |
Total | 18 / 20 Passed |