Content
70%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 well-structured with a clear phased workflow, explicit validation, and concrete inline code. Its weaknesses are repetition of the routing-transparency message across sections and a broken progressive-disclosure structure where referenced scripts and reference docs are cited as required but not actually shipped.
Suggestions
Ship the referenced bundle files — scripts/classifier.py, routing_transparency_logger.py, fallback_decomposer.py and references/hybrid_router_architecture.md, deterministic_classification_canon.md, fallback_workflow_canon.md — since they are cited as required but absent, breaking progressive disclosure and making the 'Use it; don't re-implement' instruction unactionable.
Consolidate the 'never delegates silently' / routing-transparency message, which is restated in Hybrid Architecture, Agent Integrity Rules, the Routing Transparency Protocol, and Anti-Patterns, into a single section to tighten conciseness.
Move the full SIGNALS map and scoring algorithm into scripts/classifier.py and keep only a brief summary in SKILL.md, so the inline content does not duplicate the script the body already directs Claude to use.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and operational, but the routing-transparency / 'never delegate silently' message is restated across Hybrid Architecture, Agent Integrity Rules, the Routing Transparency Protocol, and Anti-Patterns, and the Failure Modes and Anti-Patterns sections overlap. | 3 / 5 |
Actionability | Provides concrete executable inline Python for the SIGNALS map and scoring algorithm plus specific script invocations (e.g. 'scripts/classifier.py --question "..." --output json'); the minor gap is that the referenced script files are absent, though their logic is reproduced inline. | 4 / 5 |
Workflow Clarity | A clearly phased sequence (intake Q1–Q4 with skip/stop conditions, deterministic classification, 8-step fallback) with explicit validation and feedback loops: confirm response before next call, retry policy, 3-consecutive-failure stop+alert, and a three-count audit log. | 5 / 5 |
Progressive Disclosure | Well-sectioned with clearly signaled one-level-deep reference pointers, but the referenced files (scripts/*.py and references/*.md) are absent from the empty bundle, and the full SIGNALS map plus algorithm are inlined rather than living in the script the body tells you to use. | 3 / 5 |
Total | 15 / 20 Passed |