Content
88%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 content is a lean, actionable runbook with executable commands, a well-sequenced workflow, and explicit evidence-state validation checkpoints; it assumes Claude's competence and avoids concept padding. Its only gap is that some personalization detail could be pushed to a separate referenced file for cleaner progressive disclosure.
Suggestions
Consider moving the detailed Evidence Freshness / Durability contract definitions into a separate references/ file and keeping only the decision rules inline, to tighten the body and improve progressive disclosure.
The personalization domain currently relies on an inline script; a brief pointer to a dedicated reference doc for selection-event/selection-leak metric semantics would let the body stay an overview.
The Human-facing report template is illustrative — label it explicitly as an output format example so it is not mistaken for an executable step.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes Claude's competence — it never explains what governance/memory/routing is — and every command earns its place; it is slightly longer than strictly necessary in the contract section, keeping it just below a 5. | 4 / 5 |
Actionability | Provides copy-pasteable executable commands for every domain (personal_status.py, aic validate, aic diff <target>, rpo_check.py --json, personalization_status.py --json) with concrete flags and a structured report template covering the common cases. | 5 / 5 |
Workflow Clarity | A clear 7-step sequence with explicit evidence-state checkpoints (CURRENT/LAST_KNOWN/UNAVAILABLE) and fallback handling (mark UNKNOWN and search for the real entry when paths are missing) provides strong feedback loops; the skill is read-only so no destructive-validation cap applies. | 5 / 5 |
Progressive Disclosure | Sections are well-organized and reference a real one-level-deep bundle script (scripts/personalization_status.py, which exists) with no nested reference chains; it stays a 4 rather than 5 because the bulk of the personalization logic lives inline in the body rather than being split into a clearly signaled separate reference file. | 4 / 5 |
Total | 18 / 20 Passed |