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.
A well-structured, strongly sequenced measurement workflow with concrete connectors, paths, and validation gates — the 7-step flow and done-when checklist are exemplary. The main cost is token efficiency: the labeling discipline and sibling-skill routing are each restated several times, inflating the body without adding information.
Suggestions
State the Measured / proxy / User-provided labeling rule once (e.g., in the Skill Contract) and reference it from the steps, termination, and done-when clauses instead of repeating the full sentence five times.
Collapse the sibling-skill routing that appears in both the Scope guard paragraph and the Reference Materials list into one table (skill → what it owns → when to hand off).
Add one example connector invocation with arguments (e.g., tavily.py --answer '<brand>' --label proxy) and a short sample resonance-report fragment so the output shape is shown, not only described.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body never explains concepts Claude already knows, but the same discipline sentences are repeated many times: "every number labeled Measured / proxy / User-provided" appears in the intro, the contract's expected output, the done-when clause, step 7, and the termination rule; "never adjudicates" appears three times (contract writes, step 7, Save Results); the scope-guard and Reference Materials sections restate the same sibling-skill routing twice. This matches the 3 anchor ("mostly efficient but... could be tightened") — it is not 4 because the redundancy is systematic, not a few trimmable lines. | 3 / 5 |
Actionability | Concrete, executable guidance throughout: named connector scripts with flags ("scripts/connectors/tavily.py --answer", gdelt.py, bluesky.py, pageviews.py), exact memory paths (memory/narrative-registry/canon.md, memory/events/claims.ndjson), a ready-to-use Quick Start prompt set, and a precise echo-rate definition with the declare-method-first rule. Not 5 because no actual example invocations or a sample report fragment are shown — the reader must infer argument shapes for the connectors and the report layout is only described, not exemplified. | 4 / 5 |
Workflow Clarity | A clear 7-step sequence with explicit validation checkpoints: "If no current non-forked canon exists, stop with NEEDS_INPUT", the method-must-be-declared-before-computing defect rule, the trend-restart guard ("do not merge a new panel into an old trend line"), the [needs source] evidence gate routing to claims.ndjson, and a done-when checklist closing the loop. This is a read/measure skill so destructive-operation caps do not apply; it matches the 5 anchor's explicit validation and checklist criteria. | 5 / 5 |
Progressive Disclosure | Well-organized sections with a Reference Materials list that signals each one-level-deep link and what it is for (tale-benchmark.md, stimulus-binding.md, CONNECTORS.md, SECURITY.md, sibling SKILL.md files). No bundle files ship with this skill (references/, scripts/, assets/ are absent), so the score rests on the body's own structure, which is good but not the 5 anchor: some detail (handoff-summary format, save-results template) is delegated to an external skill-contract.md outside this bundle, and several inlined routing/handoff statements duplicate material that belongs in those referenced files. | 4 / 5 |
Total | 16 / 20 Passed |