Content
93%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.
An excellent orchestrator-style SKILL.md: telegraphic, command-dense, with a complete one-level-deep reference structure where every named file exists and a routing table that tells the reader exactly what to load per intent. The only soft spot is that the run-loop's validation checkpoints live entirely in the referenced files, leaving the body's own workflow slightly thinner on checkpoints than on executable commands.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and directive with zero padding: "Fast by default. Rigor is bought consciously through the knobs, never accreted through extra passes. One gate, light checkpoints, no ceremony." No concept Claude already knows is explained; every line instructs ("A claim is a sentence with a source. Publisher, publication date, access date. No naked numbers."). Matches the 5 anchor ("lean and efficient; assumes Claude's competence; every token earns its place"); 4 would require identifiable over-explanation to trim, and none is present. | 5 / 5 |
Actionability | Copy-paste-ready commands with exact arguments: "uv run {project-root}/_bmad/scripts/memlog.py" with --type values enumerated, the resolve_customization.py and resolve_config.py invocations with --skill/--key flags, "npx skills add bmad-code-org/BMAD-METHOD --skill bmad", and "uv run {skill-root}/scripts/recon_kit.py tally {doc_workspace}/.memlog.md" for claim counts (never hand-counted). Concrete routing table, concrete failure paths, concrete JSON end-state. Matches the 5 anchor; not 4 because the executable commands present are complete rather than having minor gaps. | 5 / 5 |
Workflow Clarity | The activation sequence is exemplary — numbered steps with explicit error-recovery feedback loops ("Script not found: BMad is not set up here. Offer to run the bmad skill's setup... then run the command again") and a named hard stop ("hold the plan gate — the one hard stop"), plus a resume-from-disk guarantee. But the core research loop's validation checkpoints are delegated rather than stated — "then run the loop" points at references/run.md and verification.md — so the body itself has minor checkpoint gaps, fitting anchor 4 rather than 5's fully-inline validation steps and checklists. | 4 / 5 |
Progressive Disclosure | A textbook router: each intent in the table names exactly which files to load ("references/run.md, then references/verification.md + references/synthesis.md"), and every referenced file exists in the bundle (verified: draft.md, process.md, run.md, verification.md, synthesis.md, lifecycle.md, codebase.md, selection.md, finalize.md, plus scripts/recon_kit.py and assets/ templates). One level deep, clearly signaled, load-only-what-it-names. Matches the 5 anchor; no buried or nested references. | 5 / 5 |
Total | 19 / 20 Passed |