Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, concise workflow with executable commands, an explicit patch-rerun-retry feedback loop, and a clear termination checkpoint, supported by real one-level-deep reference and script files. It avoids padding and assumes Claude's competence throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence, with no concept-explaining fluff; every line is actionable guidance, rules, or commands Claude would not already know, e.g. 'Compare contracts before wording. Exact prompt text is usually implementation detail.' | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands with real flags and paths, e.g. the full normalize_trace.py invocation, compare_traces.py invocation, and run_pair_capture.sh with REPRO_REFERENCE_AGENT=codex and concrete arguments. | 3 / 3 |
Workflow Clarity | A clear numbered sequence (steps 1-8) with an explicit feedback loop ('Patch Qwen Code, rerun the smallest failing scenario, and repeat') and a termination checkpoint ('Stop when Qwen Code passes the user-visible scenario and the remaining trace differences are documented as intentional'), plus a Done Criteria checklist. | 3 / 3 |
Progressive Disclosure | The body is a concise overview pointing to one-level-deep references that all exist (references/alignment-workflow.md and the three scripts), clearly signaled with 'Read references/alignment-workflow.md before the first comparison pass' and invoked by concrete path. | 3 / 3 |
Total | 12 / 12 Passed |