Content
67%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 delivers a well-sequenced, contract-driven workflow with concrete paths, tool names, and completion criteria — genuinely actionable for an instruction-only skill. Its weaknesses are repetition of routing/scope boilerplate and the absence of example connector invocations or error-recovery guidance.
Suggestions
State the claims-routing rule (operation: propose via registry-events.py) once in the Skill Contract and reference it from steps 4 and Save Results instead of repeating the full boilerplate three times.
Add one example invocation each for scripts/connectors/firecrawl.py and wayback.py (arguments, expected output) so the scrape and archive-compare steps are copy-paste executable.
Add a short fallback for step 5 when no archived snapshot exists for a rival (e.g., mark Estimated and continue), and consolidate the Scope guard exclusions into the description where they already appear.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and domain-specific, but the claims-routing boilerplate ("via an authorized `operation: propose` request to `registry-events.py`") is repeated three times (Writes, step 4, Save Results), and the Scope guard paragraph restates the frontmatter's exclusions — fitting "mostly efficient but could be tightened" rather than the minor-instances bar of 4. | 3 / 5 |
Actionability | Guidance is concrete: exact memory paths ("memory/narrative/category-narrative-mapper/YYYY-MM-DD-<topic>.md"), named connector scripts (firecrawl.py, tavily.py, wayback.py), labeling rules, and example prompts. However, no example invocations or arguments for the connector scripts are given, leaving minor execution gaps. | 4 / 5 |
Workflow Clarity | Seven clearly sequenced numbered steps are reinforced by a "Done when" completion checklist, robots pre-flight, and per-row Measured/User-provided/Estimated labeling — but there is no error-recovery loop (e.g., what to do when a scrape fails or no archive snapshot exists), which the 5 anchor's feedback loops would require. | 4 / 5 |
Progressive Disclosure | The body is a well-structured overview with a dedicated Reference Materials section and clearly signaled one-level-deep links. However, every referenced file lives outside the skill via deep ../../../ paths into a parent collection (no local references/, scripts/, or assets/ bundle exists), which is a minor organization and navigability gap. | 4 / 5 |
Total | 15 / 20 Passed |