Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-organized, concise overview with good progressive disclosure to a real reference file. Its weaknesses are incomplete in-body actionability (core config examples live only in the reference) and the absence of a sequenced setup workflow with validation checkpoints.
Suggestions
Add one copy-paste-ready scrape_configs YAML example and one recording-rule example in the body so the core configuration task is actionable without opening the reference.
Provide a short numbered setup workflow (install -> configure scrape targets -> add recording/alert rules -> validate targets via the /api/v1/targets check) with an explicit validation checkpoint.
Drop or repurpose the Purpose section, which largely duplicates the frontmatter description, to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — short best-practice one-liners and three curl commands — and does not explain concepts Claude already knows; the only redundancy is the Purpose section echoing the description. | 3 / 3 |
Actionability | The troubleshooting curl commands and specific values (e.g. '15-60s typical', 'prefix_name_unit') are concrete, but the core scrape-config and recording-rule examples are deferred to the reference rather than shown, leaving the body's main configuration guidance incomplete. | 2 / 3 |
Workflow Clarity | Tasks and best practices are listed, but there is no sequenced setup workflow with explicit validation checkpoints; the only validation-style steps appear reactively in troubleshooting rather than as a setup feedback loop. | 2 / 3 |
Progressive Disclosure | A clear overview points to a single, well-signaled one-level-deep reference ('references/details.md') that exists with real content, splitting detailed patterns out of the overview appropriately. | 3 / 3 |
Total | 10 / 12 Passed |