Content
63%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-sequenced, highly actionable autonomous-loop protocol with strong state-recovery and documentation discipline. Its two real weaknesses are redundancy (the same API call and system prompt repeated three times) and inlining of prompt-template material that belongs in a reference file, plus no error-handling path for failed or unparseable reviewer responses.
Suggestions
Define the reviewer system prompt and the curl/MCP invocation once (e.g. in the API Configuration section) and reference it from Phase A and the Round 2+ template instead of repeating all three blocks verbatim — this alone would remove ~70 lines.
Move the Round 2+ prompt template to a references/ file (e.g. references/round-2-prompt.md) and keep only a one-line pointer plus the key fields (previous score, verdict, weaknesses, changes) in the body.
Add a checkpoint in Phase B for API failure: if curl fails, returns an HTTP error, or the response has no extractable score/verdict, retry once and otherwise record the failure in AUTO_REVIEW.md and continue to the next round rather than proceeding as if a review happened.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient project-specific protocol that avoids explaining concepts Claude already knows, but the curl command with the identical system prompt ("You are a senior machine learning researcher...") is repeated three times — API Configuration, Phase A, and the Round 2+ template — and the MCP invocation block likewise appears twice. This ~70-line duplication is exactly what could be tightened into one referenced template. | 3 / 5 |
Actionability | Concrete throughout: exact curl commands, the REVIEW_STATE.json schema, exact file paths and legacy fallbacks, an explicit stop condition ("score >= 6 AND verdict ∈ {ready, almost}"), and a fill-in log template. Minor gaps keep it from 5: prompt blocks remain placeholder templates rather than fully assembled examples, and Phase D ('Monitor remote sessions for completion') gives no concrete command. | 4 / 5 |
Workflow Clarity | The Initialization → Phases A–E → Termination sequence is clear, with an explicit stop condition, resume/staleness rules (24h timestamp check), and prioritization rules — a genuine feedback loop. The missing checkpoints are around the API call itself: no handling for a failed curl, an HTTP error, or a response that doesn't contain a parseable score/verdict, which is a real fragility in a loop driven by parsing that response. | 4 / 5 |
Progressive Disclosure | Sections are well organized and the ../shared-references/ links are clearly signaled, but no bundle files exist alongside this SKILL.md, so those four referenced protocols are unverifiable. Meanwhile ~55 lines of the 'Prompt Template for Round 2+' section — content that clearly belongs in a reference file — are inlined in the main body, matching the anchor of structure present but separable content inline. | 3 / 5 |
Total | 14 / 20 Passed |