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.
Highly actionable content with executable commands and a clear, validated multi-step workflow. The main weakness is repeated command boilerplate across sections that inflates token cost without adding clarity.
Suggestions
Factor the shared relay-send command shape (env vars + uv run scripts/relay_send.py fpl9000/claude-relay --direction request) into one canonical snippet and show only the differing --operation/--arguments per operation to cut repetition.
Replace the duplicate memory_query example in the End-to-End Workflow with a forward reference to the Operations section to avoid restating identical content.
Tighten the Important Notes bullets (e.g., merge the latency and one-request-at-a-time guidance) to reduce token overhead while preserving the operational cautions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with no concept-over-explanation padding, but the full env-var-prefixed invocation is repeated verbatim across all three operations and the End-to-End Workflow re-repeats the memory_query example, which could be tightened by factoring out the shared command shape. | 3 / 5 |
Actionability | Fully executable copy-paste bash commands with concrete JSON arguments and explicit response-format specs cover all three operations and the common cases. | 5 / 5 |
Workflow Clarity | A numbered decision tree plus an end-to-end workflow with explicit validation checkpoints (exit codes 0/1/2, HMAC verification) and feedback loops (wait-and-repoll with backoff, alert on HMAC failure). | 5 / 5 |
Progressive Disclosure | Single-file skill with no bundle files present; sections are well-organized with clear headers and easy navigation, but all per-operation detail lives inline with no split-out reference material, leaving minor organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |