Content
82%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 lean, highly actionable monitoring workflow: concrete ssh and W&B commands, explicit fallback paths for each failure mode, and a clear interpretation rubric. Weaker spots are the command-less Vast.ai/Modal and Feishu steps, which rely on Claude improvising the actual checks.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is almost entirely executable commands and terse directives (ssh/screen snippets, wandb API heredocs, a compact table, short key rules) with no concept explanations or padding; every token earns its place and it assumes Claude's competence. | 5 / 5 |
Actionability | Most steps give concrete executable commands (screen hardcopy, ls/cat on JSON results, wandb Api scripts), but the Feishu notification step names a config file with no send command, the Vast.ai/Modal checks ("check instance state", "check the Modal run/app logs") lack commands, and the results table is a placeholder skeleton. | 4 / 5 |
Workflow Clarity | Steps 1–6 are clearly sequenced with error-recovery fallbacks (hardcopy fails → check log files; W&B unavailable → report and fall back to logs/JSON; results look wrong → check training logs first), but the Modal and Vast.ai verification steps are named without concrete checkpoints or commands. | 4 / 5 |
Progressive Disclosure | No bundle files exist and the body is well-organized into clearly headed sections with no buried or nested references, so navigation is easy; however, at ~95 lines the W&B query details and backend-specific checks could plausibly live in separate reference files, leaving minor organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |