Content
80%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a lean, actionable, well-organized contract for a deterministic token-mapping atom, strong on conciseness and actionability. Its main gaps are the absence of an explicit validation feedback loop and a referenced example file that does not exist on disk.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and purposeful — input/output contract, semantic-inference decision logic, convergence, and anti-patterns — explaining rationale rather than concepts Claude already knows, with every section earning its place. | 3 / 3 |
Actionability | As an instruction/data-contract skill it gives exact output file paths, JSON shapes, unmatched reason strings, the convergence predicate (`tokens.unmatched.length === 0`), and an implementation pointer — actionable without executable code, per the rubric's code-vs-instruction note. | 3 / 3 |
Workflow Clarity | A single-purpose atom with an explicit convergence predicate and unmatched audit, but it lacks a validate->fix->retry feedback loop for this batch mapping operation, which the rubric flags as capping workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | The body is well-sectioned and self-contained, but its one external reference (`examples/semantic-inference-before-after.json`) is a dead path and the inline semantic-inference section is long enough that it could be split out. | 2 / 3 |
Total | 10 / 12 Passed |