Content
65%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 content is well-structured and largely actionable with a clear deterministic routing workflow, but it is somewhat verbose through repeated routing discipline and its progressive disclosure is undermined by references to a `references/` directory that contains no actual files.
Suggestions
Consolidate the routing discipline so it appears once; the symptom table, signal table, and anti-patterns overlap and could be trimmed to reduce token cost (lowest-scoring conciseness).
Create real files under `references/` for the cited canon (Tunguz, Skok, Bessemer, Monetizing Innovation) or convert the inline name-drops into concrete links so progressive disclosure is grounded.
Add an explicit validation/verify checkpoint in Step 5 (e.g., confirm sub-skill returned the expected artifact files and citations) to lift workflow_clarity to a 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient, but the body pads several sections with explanatory prose, repetition between the symptom table, signal table, forcing-question library, and anti-patterns that restates the same routing discipline multiple times. | 3 / 5 |
Actionability | Provides concrete routing tables, a forcing-question template with worked examples, and per-lane recommended answers with canon citations; minor gaps are that several sub-skill invocations are described abstractly rather than as executable commands. | 4 / 5 |
Workflow Clarity | The five-step workflow is clearly sequenced with explicit 'route silently', forcing-question, decision-tree walk, fork, and digest stages, plus confirmation gates before chaining; missing an explicit validation/verify step on returned digests, so it stops short of a 5. | 4 / 5 |
Progressive Disclosure | Structure is sectioned and references a `references/` canon and a path-B build doc, but no bundle files actually exist in the workspace and the canonical citations (Tunguz, Skok, etc.) are name-dropped inline rather than linked to real, one-level-deep files. | 3 / 5 |
Total | 14 / 20 Passed |