Content
100%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.
Excellent content: a dense, fully executable workflow with approval gating, dry-run, and re-verification around a mutating batch operation, plus a well-separated ranking policy. Implementation detail is correctly pushed into the two bundled scripts rather than inlined.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every sentence carries skill-specific facts Claude could not know (project ordering semantics, workflow behavior, priority tiers, anchor rules) with no padding or explanation of known concepts. Termination conditions ('This step is complete when...') are stated inline rather than elaborated, matching the 'lean and efficient; every token earns its place' anchor. | 5 / 5 |
Actionability | The body is fully executable: exact commands ('python3 .agents/skills/trail-sense-sync-priority-project/scripts/sync_plan.py', 'gh issue view <n>', the graphql workflow check), a copy-paste-ready plan JSON example, and the apply script with '--dry-run' then without. No pseudocode or vague direction remains. | 5 / 5 |
Workflow Clarity | The six-step sequence has explicit validation checkpoints despite the batch/destructive nature of the operation: an approval gate before any change, '--dry-run' before the real apply, and a step-5 re-run of sync_plan.py confirming all lists are empty. This matches the anchor with feedback loops and explicit validation for risky operations, so no cap applies. | 5 / 5 |
Progressive Disclosure | The ~30-line body is a well-organized overview (project semantics, workflow, ranking criteria) while the heavy logic (GraphQL queries, plan computation, mutation) lives in the bundle's scripts/sync_plan.py and scripts/apply_changes.py, which the body invokes directly. Content is appropriately split with no buried or nested references. | 5 / 5 |
Total | 20 / 20 Passed |