Content
92%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 is a well-structured, executable workflow with strong validation checkpoints, hard-gate stop conditions, and clean progressive disclosure into verified reference/script/asset files. Its only weakness is minor verbosity in a few explanatory passages and the citation block.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and mostly purposeful for a complex domain, with copy-paste commands and non-obvious technical notes (e.g. effective DPI definition) earning their place; a few explanatory passages and the lengthy citation block could be trimmed, keeping it just below a 5. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready commands for every stage (uv pip install with exact pins, python -B scripts/<tool>.py invocations with flags and output paths) covering the common generation/audit cases. | 5 / 5 |
Workflow Clarity | A clearly sequenced multi-step process (requirements -> manifest -> audit -> generate -> final audits -> manual gate -> export) with explicit "Hard gates" stop conditions, validation checkpoints at each stage, and feedback loops ("Re-run all checks after any change", drafts fail closed). | 5 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with well-signaled one-level-deep references ("Read references/poster_layout_design.md" etc.); all referenced files in references/, scripts/, and assets/ exist and content is appropriately split across them with easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |