Content
85%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured and actionable with a clear sequenced workflow and good progressive disclosure, but it loses conciseness through heavy repetition of the canon-staging machinery phrase and the data-labeling instruction. Trimming that redundancy would move it toward top marks.
Suggestions
Define the canon-staging pattern ('authorized `operation: propose` request to `registry-events.py`') once in the Skill Contract and refer back to it, instead of repeating the full phrase in lines 18, 41, 62, 64, and 68.
State the Measured / User-provided / Estimated labeling rule once (e.g. in step 4) and drop the restatements in step 7 and Save Results.
Trim the dense opening paragraph, since the Scope guard and Skill Contract already restate the same scope and handoff information.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and domain-specific (no generic concept explanations), but repeats the same machinery phrase 'via an authorized `operation: propose` request to `registry-events.py`' roughly six times and restates the Measured/User-provided/Estimated labeling in three places, fitting the 'mostly efficient but could be tightened' anchor rather than the lean level-3. | 2 / 3 |
Actionability | Instruction-only but highly concrete: the Skill Contract names exact outputs (register, tone spectrum, 3-6 few-shots, approved/banned-term tables with per-term labels) and the numbered steps specify exact memory paths and rule dimensions (capitalization, article use, generic-vs-branded, version suffixes), meeting the actionable-guidance bar for an instruction skill. | 3 / 3 |
Workflow Clarity | Seven numbered steps are clearly sequenced with explicit validation checkpoints: a NEEDS_INPUT stop at step 1 if the upstream message house is missing, a shipped-canon contradiction check at step 6, and a 'Done when' completion criteria block, matching the clear-sequence-with-validation anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md acts as an overview with well-signaled one-level-deep references collected in a dedicated 'Reference Materials' section (tale-benchmark, skill-contract, narrative-registry, sibling skills, CONNECTORS/SECURITY), and the body is cleanly split into Quick Start, Skill Contract, Data Sources, Instructions, and Save Results sections. No bundle files exist under references/scripts/assets to verify, so scoring rests on the structure, which is well organized. | 3 / 3 |
Total | 11 / 12 Passed |