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, actionable skill body with a validated multi-step workflow and clean progressive disclosure to real reference files. The only weakness is mild token padding in the Knowledge Reference section that restates widely-known framework names.
Suggestions
Tighten the 'Knowledge Reference' paragraph: drop enumeration of well-known framework/library names (commander, yargs, click, chalk, etc.) and keep only the non-obvious categorization, since Claude already knows these.
Consider trimming the closing documentation URL line or moving it into frontmatter metadata, as it adds tokens without actionable guidance for task execution.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean — scannable MUST DO/MUST NOT DO lists and minimal code examples assume Claude's competence; minor padding appears in the 'Knowledge Reference' paragraph which lists framework/library names Claude already knows. | 4 / 5 |
Actionability | Provides a copy-paste-ready Node.js example with install note, executable `<cli> --help`/`--version` checks, and three-language TTY-detection snippets; Python/Go quick-starts are deferred to references (clearly signaled), leaving minor gaps. | 4 / 5 |
Workflow Clarity | The five-step Core Workflow is clearly sequenced with explicit validation checkpoints at each phase (list `--help` output before coding, run `--help`/`--version` after wiring, verify TTY/SIGINT handling, benchmark startup <50ms). | 5 / 5 |
Progressive Disclosure | SKILL.md is an overview with a Reference Guide table mapping five real, one-level-deep reference files to explicit 'Load When' triggers; detailed language guides are deferred appropriately and navigation is clear. | 5 / 5 |
Total | 18 / 20 Passed |