Content
80%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.
The body is concise and highly actionable with complete Caddyfile examples and useful non-obvious constraints, but it stops short of an explicit validation feedback loop and lacks a curated bundle of reference files to deepen into.
Suggestions
Add an explicit validate-then-fix step, e.g. reload/restart Caddy and check logs after editing a ui block, so config edits have a feedback loop.
Create a references/ file (e.g. a curated UI directive reference or supported-languages list) and link it one level deep so progressive disclosure is fully realized within the bundle.
Cross-reference the fixture earlier in the body and note how to run caddy adapt against it as a concrete verification checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body that assumes competence, provides only non-obvious constraints ('Do not invent UI directives from authcrunch struct fields unless caddyfile_authn_ui.go parses them'), and avoids explaining Caddyfile or portal basics. | 3 / 3 |
Actionability | Concrete, executable Caddyfile examples with real syntax for ui blocks, links, static_asset, custom css/js, and language directives, plus specific filesystem paths to consult for validation. | 3 / 3 |
Workflow Clarity | The task is mostly declarative config editing rather than a multi-step process, and while validation guidance exists ('Check that file when validating whether a language or message is available'), there is no explicit validate-then-recover feedback loop for config edits. | 2 / 3 |
Progressive Disclosure | Source files are signaled one level deep ('Read these files when details matter'), but no references/scripts/assets bundle exists, so the deep-dive material is external source-code paths rather than curated, navigable bundle files. | 2 / 3 |
Total | 10 / 12 Passed |