Content
73%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 presents a rigorous, well-checkpointed seven-step workflow with explicit stop conditions, evidence labeling, and routing — workflow clarity is excellent. Weaknesses are repetition of the same registry/propose guardrails across four sections and reliance on scripts (wayback.py, registry-events.py) and reference files whose usage and contents are never shown in this bundle.
Suggestions
State the registry sole-writer and claims.ndjson propose rules once (e.g. in Skill Contract) and reference them from other sections instead of repeating them three to four times.
Include a minimal invocation example for scripts/connectors/wayback.py (arguments and expected output for a change-history pull) so the core measurement step is executable without leaving the skill.
Ship or inline the essential content of the externally-resolved references (stimulus-binding retro rules, handoff-summary format) so the skill is self-contained when distributed alone.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient — no generic-concept padding — but noticeably repetitious: the 'sole writer of memory/narrative-registry/' rule and the 'authorized operation: propose request to registry-events.py' pattern each appear three times (Scope guard, Skill Contract, Save Results), and the resonance-monitor disambiguation is restated in three sections. Fits the 3 anchor ('could be tightened'); not 2 because it never explains concepts Claude already knows, and not 4 because the duplicated guardrails are a real trimming opportunity, not minor. | 3 / 5 |
Actionability | Concrete guidance throughout: exact paths (memory/narrative-registry/canon.md, versions.md), a verdict taxonomy (matches / drifted / contradicts), a decision enum (retain|retest|reversion-proposal|unknown), and evidence labels (Measured / User-provided / Estimated). It falls short of the 5 anchor because wayback.py and registry-events.py are invoked by name only — no invocation syntax, arguments, or output shape appears in the skill, and the recipes live in an unbundled CONNECTORS.md. | 4 / 5 |
Workflow Clarity | Seven clearly sequenced steps with explicit validation checkpoints and feedback paths: step 1 stops with NEEDS_INPUT when no canon exists ('no canon' is never pass-by-default), step 2 records an explicit 'no history available' note rather than guessing, step 6 refuses to call a message validated without a matching result observation/contract, plus a 'Done when' checklist, decision routing, and termination/ambiguity rules. Matches the 5 anchor (explicit validation steps, error recovery, checklist). | 5 / 5 |
Progressive Disclosure | Good structure: clean sections (Quick Start, Skill Contract, Data Sources, Instructions, Save Results, Reference Materials, Next Best Skill) and a well-labeled, one-level-deep reference list. However, the skill ships no bundle files of its own, and several load-bearing references (../../../references/skill-contract.md, ../message-test-designer/references/stimulus-binding.md, ../../../CONNECTORS.md) resolve outside the skill directory and cannot be verified from the bundle — minor organization gaps that hold it at the 4 anchor rather than the fully self-contained 5. | 4 / 5 |
Total | 16 / 20 Passed |