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.
The body is a tight, actionable, well-sequenced audit playbook with explicit validation checkpoints for its batch fan-out and a real, correctly-referenced helper script. Minor tightening of rationale prose and a more complete Python diff example would lift conciseness and actionability to 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and assumes Claude's competence — it never explains what a Data warehouse, OpenAPI, or GraphQL is, and quantitative facts ('~586 implemented sources', '6.8M subagent tokens', '4,540 findings') earn their tokens; a few rationale sentences could be trimmed. | 4 / 5 |
Actionability | Provides copy-paste shell, SQL, Python, and grep snippets plus a real, executable linked script (scripts/dump_source_inventory.py); the Python diff snippet is a sketch rather than a full program, but that is explicitly justified. | 4 / 5 |
Workflow Clarity | Six numbered steps are clearly sequenced with explicit validation checkpoints for this batch operation — bulk HTTP-status checks on cited doc_urls, end-to-end spot checks, and a blessed 'could-not-verify' answer — satisfying the destructive/batch validation requirement. | 5 / 5 |
Progressive Disclosure | Well-organized into headed sections with a single real script referenced one level deep (verified present at scripts/dump_source_inventory.py) and a Related-skills navigation block; no nested reference chains, appropriate for its scope. | 5 / 5 |
Total | 18 / 20 Passed |