Content
100%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 content is a tight, protocol-focused overview with concrete commands, an ordered workflow including validation and reconciliation feedback, and a well-organized one-level reference structure. It assumes Claude's competence and avoids concept over-explanation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with domain-specific protocol facts Claude does not already know (capability principals, owner-append/propose operations, revision reconciliation) and never explains basic concepts; every token earns its place. | 3 / 3 |
Actionability | Provides concrete executable guidance — `python3 "$AARON_SKILLS_ROOT/scripts/registry-events.py" get creators <aggregate-id>`, the exact AARON_SKILLS_ROOT resolution, and `registry-event.schema.json` — and the policy steps are specific and actionable rather than vague. | 3 / 3 |
Workflow Clarity | A 9-step ordered sequence includes an explicit validation checkpoint ("Run verify creators and report accepted/rejected proposal IDs, revision, conflicts...") and error-recovery feedback ("A stale revision must be re-read and reconciled, not forced"). | 3 / 3 |
Progressive Disclosure | The body is a lean overview that points one level deep to well-signaled references (skill-contract, registry-event-protocol, runtime-invocation, state-model, SECURITY, and the real bundled creator-record-template.md), with a dedicated Reference Materials section. | 3 / 3 |
Total | 12 / 12 Passed |