Content
61%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.
The body is a serviceable template with concrete tool-usage examples and clear sectioning, though it carries some conceptual padding and lacks validation checkpoints in its example workflow. It is reasonably actionable but would benefit from tighter prose and an explicit verify step.
Suggestions
Tighten the conceptual exposition in 'How Skills Work' to focus on what the agent must do rather than why the architecture exists.
Add an explicit validation/verification step in the daily-journal workflow (e.g., confirm journal.jsonl parsed before appending, or echo a summary for the user to confirm) to lift workflow clarity.
Make the frontmatter script-path example match the actual bundle file (scripts/my-custom-skill.py) so the inline reference resolves to a real file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with well-organized sections, but includes conceptual exposition ('like Claude Code's slash commands', 'Scripts cannot access the LLM or environment router') that could be trimmed for a working skill. | 3 / 5 |
Actionability | The daily-journal example gives concrete, mostly-executable steps naming specific tools and paths (codegen instruction, workspace_read journal.jsonl, workspace_write, done), with only minor gaps in the exact tool-call syntax. | 4 / 5 |
Workflow Clarity | The example lays out a clear four-step sequence, but there are no validation or verification checkpoints before the append/done steps, so it sits at the validation-gap anchor rather than above. | 3 / 5 |
Progressive Disclosure | Content is split into clearly headed sections (How Skills Work, Behavioral Guidelines, Example) and the bundle provides scripts/my-custom-skill.py; structure is good with only minor organization gaps and no deep nesting. | 4 / 5 |
Total | 14 / 20 Passed |