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 well-structured routing skill body with executable commands, an explicit doctor-based validation workflow, and clean one-level-deep progressive disclosure into category references. It loses a little on conciseness and inline workflow detail, but is highly actionable.
Suggestions
Tighten the 常驻规则 prose into terser bullet directives to reduce token cost without losing the workflow.
Inline the first step of each platform's retry/failure chain (or name it explicitly) instead of deferring entirely to references/*.md, so the SKILL.md workflow is self-contained for common failures.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and action-oriented with no concept padding, but a few prose asides (Twitter cookie handling, 小红书 login note, the check-update reminder) could be trimmed slightly. Not a 5 because the 常驻规则 section is somewhat discursive rather than maximally terse. | 4 / 5 |
Actionability | Copy-paste-ready executable commands throughout (mcporter, curl, gh, yt-dlp, opencli, bili, twitter) with inline comments and per-platform coverage matching the common cases. | 5 / 5 |
Workflow Clarity | Clear sequence (doctor --json → declare backend → retry chain → combine → check-update) with an explicit validation checkpoint (active_backend value/null semantics) and a feedback loop; not a 5 because some error handling defers to 'see references' rather than stating the retry chain inline. | 4 / 5 |
Progressive Disclosure | SKILL.md is a concise overview with a routing table pointing one level deep to 7 real references/*.md files, each mapped to a category; bulk content (e.g. social.md at 301 lines) is correctly kept in references with clear navigation. | 5 / 5 |
Total | 18 / 20 Passed |