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-structured, highly actionable skill body: clear workflows with genuine feedback loops, concrete specifics (paths, SDK types, env vars), and exemplary progressive disclosure via a "when to read" reference table. Only mild trimming of the sibling-skill relationships and self-review sections would improve token efficiency.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is instruction-dense with no explanations of concepts Claude already knows, but sections like "Relationship to Other Skills" and the ~20-item Self-Review checklist carry some prose that could be tightened, so it is efficient with minor over-explanation rather than lean throughout. | 4 / 5 |
Actionability | Concrete, executable guidance throughout — exact paths like "antithesis/feature-workloads/<feature-slug>/analysis.md", named SDK assertion types (Always, AlwaysOrUnreachable, Sometimes, Reachable), the ANTITHESIS_OUTPUT_DIR dual-mode switch, and specific tooling (snouty, docker-compose). The only gap is that no code examples appear inline, which the reference files cover. | 4 / 5 |
Workflow Clarity | The 16-step workflow is clearly sequenced with explicit feedback loops ("loop back to step 3", reach-claims-first iteration policy, conditional branching at step 14) and validation checkpoints, plus a dedicated verification step for classifying failures and a self-review checklist. | 5 / 5 |
Progressive Disclosure | The body is a well-organized overview with a reference table that includes a "When to read" column; all seven referenced files exist in references/ and are exactly one level deep, making navigation easy. | 5 / 5 |
Total | 18 / 20 Passed |