Content
81%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 orchestration body that sequences a complex multi-skill pipeline with strong validation checkpoints and feedback loops. It is concise and actionable, with only minor opportunities to group the DAG into phases and trim a few redundant asides.
Suggestions
Group the 19 numbered steps into labeled phases (e.g. Collection, Planning, Drafting, Validation, Delivery) to aid navigation.
Remove a few redundant reassurances ('Zero matplotlib dependency', 'no fabricated numbers') that are already implied by the placeholder design.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a lean 19-step DAG with tight one-line-per-stage descriptions; minor trims are possible ('Zero matplotlib dependency', 'no fabricated numbers') but every token largely earns its place. | 4 / 5 |
Actionability | Names concrete sub-skills, specific gates, real commands ('opensquilla skills meta runs show'), and exact LaTeX constructs ('\fbox{\parbox{...}}'); instruction-only but actionable, with minor gaps in how a reader invokes the meta-skill itself. | 4 / 5 |
Workflow Clarity | A clearly ordered 19-step DAG with explicit validation gates (source_readiness_gate, citation_map, citation/publication gates, compile probe) and feedback loops (bounded page repair, revalidate-on-failure); validation is extensive so no destructive/batch cap applies. | 5 / 5 |
Progressive Disclosure | No bundle files exist and the content is appropriately self-contained with clear sectioning (DAG, 'Removed from the previous version', default-path note); the single long numbered list could be grouped into phases for easier navigation. | 4 / 5 |
Total | 17 / 20 Passed |