Content
65%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable skill body with concrete CLI examples and clear sections, weakened by repetitive boundary enforcement and the absence of explicit validation checkpoints for batch interactions. No bundle files are present, so disclosure is single-file.
Suggestions
Consolidate the four '技能边界' bullets into a single statement of the cli.py-only constraint to remove redundancy and tighten token use.
Add an explicit validation checkpoint for batch interactions (e.g., verify each operation's JSON output for success before proceeding to the next, with a stop-on-error rule).
Consider splitting the CLI subcommand reference table and flag details into a references/ file so SKILL.md stays a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete commands and no background concept explanation, but the '技能边界' section restates the same 'only use cli.py' constraint across four bullets and '互动策略建议' repeats the interval guidance already in '必做约束'. | 2 / 3 |
Actionability | Fully executable, copy-paste-ready bash commands with real flags for every subcommand (post-comment, reply-comment, like-feed, favorite-feed), including unlike/unfavorite variants. | 3 / 3 |
Workflow Clarity | Numbered steps and a user-confirmation checkpoint exist, plus retry feedback in '失败处理', but batch operations lack an explicit validate/verify checkpoint, capping clarity per the batch-operations guideline. | 2 / 3 |
Progressive Disclosure | Well-organized into clear sections in a single file with no broken or nested references, but it is monolithic with no progressive disclosure to separate materials despite covering four subcommands across ~120 lines. | 2 / 3 |
Total | 9 / 12 Passed |