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.
The body delivers a genuinely actionable autonomous loop with concrete API calls, state persistence for compaction recovery, and an explicit stop condition. Its main costs are token efficiency (heavily duplicated prompt templates and meta-commentary) and progressive disclosure (prompt templates inlined rather than split into reference files, with no bundle present to back the shared-reference links).
Suggestions
Collapse the duplicated MCP and curl prompt blocks: define the system prompt and request shape once in 'API Configuration' and have 'Phase A' and 'Prompt Template for Round 2+' reference it instead of repeating them verbatim (~80 lines saved).
Move the full round-2+ prompt templates into a references/ file (e.g. references/prompts.md) and link to it, replacing the inline copies with a short summary of required sections (previous score/verdict/weaknesses, changes, updated results).
Add a concrete parsing/validation step in Phase B — e.g. extract the numeric score with a stated pattern, define fallback behavior when the reviewer response omits a score or verdict, and handle curl/API failures — to raise workflow clarity.
Delete the changelog meta-note about earlier 'or' wording and move the Codex Responses-API justification to a one-line link, keeping the operative stop condition only.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly operational, but the curl template and system prompt are duplicated nearly verbatim across 'API Configuration', 'Phase A', and 'Prompt Template for Round 2+' (~80 redundant lines), and it includes changelog meta-commentary ('Earlier wording used "or" + a stale verdict set; the AND form is authoritative.') and a justification paragraph with an external URL. This fits 'mostly efficient but could be tightened' better than level 2, since the core workflow content does earn its place. | 3 / 5 |
Actionability | Concrete guidance throughout: copy-paste curl commands with headers and JSON body, exact MCP invocation, a full REVIEW_STATE.json schema, explicit file paths, prioritization rules, and a markdown template for documenting rounds. It stops short of level 5 because prompts rely on bracket placeholders and no concrete method is given for parsing score/verdict from the raw reviewer response or handling API errors. | 4 / 5 |
Workflow Clarity | The sequence (Initialization, Phases A-E, Termination) is clearly laid out with an explicit STOP CONDITION, staleness/resume logic for state recovery, and a genuine review-fix-rereview feedback loop. It misses level 5 because there are no validation steps for failure modes: malformed or missing API responses, unparseable scores, or unavailable API keys are not addressed. | 4 / 5 |
Progressive Disclosure | The body has reasonable section structure and a clearly signaled 'Output Protocols' block, but no bundle files exist (no references/, scripts/, or assets/), the linked shared-references resolve to paths outside the skill directory, and content that belongs in a separate reference file — the duplicated round-2+ prompt templates — is fully inlined. This matches 'some structure but could be better organized; content that should be separate is inline'. | 3 / 5 |
Total | 14 / 20 Passed |