Content
88%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 high-quality, actionable skill body with concrete prompts, explicit validation, and a well-defined fix-loop contract. The only soft spot is mild verbosity from repeated design rationale.
Suggestions
Trim the duplicated 'bias-escape' rationale that appears in the intro, the workflow note, and inside Sub-agent 1's prompt — state it once.
Consider extracting the three sub-agent prompt blocks into references/<n>.md so SKILL.md reads as an overview with clearly signaled one-level-deep references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean — the bulk is functional literal sub-agent prompts, output schemas, and rules that earn their tokens. Minor repeated meta-justifications ('the exact failure this skill exists to catch', 'recreates the bias the parallel sub-agents exist to escape') could be trimmed. | 4 / 5 |
Actionability | Fully executable: copy-paste sub-agent prompts with explicit tool calls (google_slides_get_thumbnail + Read on the returned path), enumerated template tokens to scan, concrete YAML output schemas, and a filled-in markdown report template. | 5 / 5 |
Workflow Clarity | A clear 5-step sequence with an upfront input sanity-check, parallel sub-agent fan-out, a completeness check ('inspected_slide_ids'/'compared_slide_ids' final lines), and a feedback loop (iteration contract with a stop-at-3 escalation and re-verify-before-claiming-fixed rule). | 5 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections (Inputs, Workflow, Sub-agent prompts, Aggregating, Loop contract) with no nested references. The three long inlined sub-agent prompts are appropriate to keep inline but represent a minor organization gap that a references/ split could relieve. | 4 / 5 |
Total | 18 / 20 Passed |