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.
Well-structured content with a clear staged workflow, concrete commands and thresholds, guarded mutations, and exemplary per-stage progressive disclosure verified against the actual bundle. The two weakest areas are minor: a few self-justifying sentences and slightly underspecified decision points where guidance is delegated to references.
Suggestions
Remove or compress the meta-commentary sentences that justify design choices (e.g. 'This keeps context usage proportional...', 'This keeps onboarding conversational...') — the rules themselves are clear without them.
In Stage 2 checks, state when to choose 'validate' vs 'refresh' activation metadata (e.g. validate first, refresh only when validation reports expired metadata) instead of leaving the choice to inference.
Add one line in the body explaining how MOLTNET_DIARY_ID / DIARY_ID is resolved (env file vs API lookup) so the classification step can run without opening a stage reference first.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient — tables, code blocks, named thresholds, and no concept explanations Claude would already know. A few justifying sentences could be trimmed ("This keeps context usage proportional to where the user actually is", "This keeps onboarding conversational and avoids forcing the user to remember to re-run the skill"), matching the 'efficient; minor instances of over-explanation' anchor rather than the every-token-earns-its-place 5 anchor. | 4 / 5 |
Actionability | It provides copy-paste-ready commands (moltnet config identity select, $MOLTNET_CLI entry list --diary-id "$DIARY_ID" --limit 50, entries_list({ diary_id, limit: 50 })), numeric thresholds, and a concrete classification table. Minor gaps keep it at 4: "validate or refresh activation metadata" leaves the choice criterion unstated, and how DIARY_ID is resolved (env detection vs API lookup) is only implied via references. | 4 / 5 |
Workflow Clarity | The adoption flow is a clearly sequenced 1-4 step process with per-stage reference loading, an explicit decision table, a re-detection feedback loop after each action ("Re-detect the current stage... offer the next action... If user declines → end gracefully"), failure handling ("If fetch fails, continue with stage detection"), safeguards with confirmation before writing the env file, and a post-context-compression recovery procedure. This matches the anchor with explicit validation steps, feedback loops, and checklists. | 5 / 5 |
Progressive Disclosure | The body is an overview that loads exactly one stage-specific reference per detected state, all five referenced files (references/stage-1..4, references/local-client-and-worker.md) exist and are one level deep, and the loading rule is explicit ("Only load the reference file for the detected stage"). External documentation is fetched on demand with a fallback. This matches the 'clear overview with well-signaled one-level-deep references' anchor. | 5 / 5 |
Total | 18 / 20 Passed |