Content
85%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.
Excellent operational content: fully executable CLI/REST/Python/Terraform workflows with explicit polling validation, destructive-operation safeguards, and error-recovery guidance. The main weakness is bundle integration — the four references/ files are never linked from SKILL.md, and inline tier/region tables duplicate content that belongs in them.
Suggestions
Link the existing bundle files from SKILL.md (e.g., a '## Deep dives' section: tiers → references/aura-tiers.md, monitoring → references/aura-monitoring.md, data import → references/data-importer.md, Aura Agent → references/aura-agent.md) so they are discoverable at the right moments.
Move the region-code tables (and fold the tier decision table into a pointer) into references/aura-tiers.md or a references/regions.md, keeping only a one-line pointer in SKILL.md — this trims ~90 lines from the main file and eliminates duplication with the tier reference.
Replace the Step 4 cypher-shell verification with a check consistent with the skill's own scope (e.g., a REST GET on the instance returning status 'running', or the neo4j+s connection URI check), since the skill defers cypher-shell to neo4j-cli-tools-skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with commands and tables rather than concept explanations — 'aura-cli credential add --name ... --client-id ...', the full poll_status function, and a Common Errors table with fixes — and it correctly delegates time-sensitive docs to a WebFetch table. However, ~90 lines of region-code tables and a six-row tier table are inlined even though references/aura-tiers.md already covers tier detail, so some content could be trimmed or moved. This fits anchor 4 ('Efficient; minor instances... that could be trimmed') better than 5 ('every token earns its place') and clearly better than 3, since there is no over-explanation of concepts Claude already knows. | 4 / 5 |
Actionability | Nearly everything is copy-paste executable: complete bash for auth/token/create/poll (poll_status with timeout, destroying-state detection, and .gitignore guard), a full working Python provisioning script with error handling, Terraform HCL, and a concrete error→cause→fix table ('429 Too Many Requests | Rate limit hit (25 req/min Free...) | Add time.sleep(2) between polling calls'). Matches anchor 5 'Fully executable; copy-paste ready... specific examples cover the common cases'. A minor wrinkle — Step 4 verifies with cypher-shell, which the skill says belongs to another skill — does not create a real gap in coverage. | 5 / 5 |
Workflow Clarity | Steps are explicitly sequenced (List Tenants → Create → Poll Until RUNNING → Write .env and Verify → Lifecycle Ops) with a validation checkpoint after every async operation (poll_status to a target state, 'Do NOT attempt connection... until status = running'), a status lifecycle diagram, error-recovery feedback (Common Errors table, 403 → re-run get_token(), Retry-After handling), and a final checklist. The destructive delete operation is guarded ('IRREVERSIBLE. Export snapshots first'; 'Delete confirmed by user — data loss is permanent'), so the destructive-operation cap at 3 does not apply. This matches anchor 5 'Clear sequence with explicit validation steps; feedback loops for error recovery; checklists'. | 5 / 5 |
Progressive Disclosure | The body has good section structure, but the four provided bundle files (references/aura-tiers.md, aura-agent.md, aura-monitoring.md, data-importer.md) are never mentioned or linked anywhere in SKILL.md — they are orphaned and undiscoverable — while tier and region detail that duplicates references/aura-tiers.md is inlined. This matches anchor 3 ('references present but not clearly signaled; content that should be separate is inline'). Not 4 because the references are entirely unsignaled rather than 'mostly clear'; not 2 because the body itself is well-sectioned, not a minimal-structure wall of text. | 3 / 5 |
Total | 17 / 20 Passed |