Content
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-sectioned, lean, and free of concept-tutoring, with a clear step sequence and a useful error-handling table. Its main weakness is that the provided bundle of example configs and a generator script is completely unintegrated — never referenced from the body — leaving the guidance concrete in parameters but lacking executable config and clean file-level navigation.
Suggestions
Surface the bundle from the body: add an Examples section linking assets/example_hpa.yaml and assets/example_aws_scaling_policy.json, and reference scripts/generate_config.py (and assets/config_template.yaml) so the orphaned files become discoverable.
Add at least one copy-paste-ready config snippet inline (e.g. a minimal HPA YAML or AWS target-tracking policy) to lift actionability toward anchor 3.
Make the validation checkpoint concrete by naming the command (e.g. 'kubectl describe hpa' / 'aws describe-scaling-activities') in step 9, and reconcile scripts/README.md by removing the validate_config.py and deploy_config.sh entries that do not exist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is reasonably lean and does not tutor Claude on what auto-scaling is, fitting 'mostly efficient'. It does not reach anchor 3 because the Output section restates the formats already named in instruction step 8 and the multi-provider breadth (four clouds) is kept inline rather than delegated, so some tokens could be tightened or offloaded. | 2 / 3 |
Actionability | Instructions give concrete parameters (CPU > 70% / < 30%, 300s/600s cooldowns, named metrics) but the body contains no executable config — no Terraform HCL, HPA YAML, or CLI commands — and step 8 only says to 'generate the configuration' without showing how. That is 'some concrete guidance but incomplete; missing key details', not the copy-paste-ready anchor 3, especially since the real example configs in assets/ are never surfaced. | 2 / 3 |
Workflow Clarity | The 9-step instruction list is a clear sequence and a validation step exists (step 9: 'Validate by simulating load and confirming scaling events fire correctly'), with an error-handling table providing recovery guidance. But the validation checkpoint is abstract ('simulating load') with no concrete validation command woven into the flow, so checkpoints are implicit rather than the explicit, command-backed checkpoints of anchor 3. | 2 / 3 |
Progressive Disclosure | A real bundle exists (assets/example_hpa.yaml, assets/example_aws_scaling_policy.json, assets/config_template.yaml, scripts/generate_config.py) but the body references none of it — no links, no 'See ...' pointers — so the example configs and generator are entirely orphaned, and scripts/README.md lists validate_config.py and deploy_config.sh that do not exist. Per the rubric's bundle-scoring guideline this is poor navigation/discovery, worse than the 'references present but not clearly signaled' anchor 2. | 1 / 3 |
Total | 7 / 12 Passed |