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 dense, executable, and well-structured: a sequenced workflow with validation checkpoints and a build-resume loop, concrete CLI examples, and clear guardrails. It avoids concept re-education and organizes content into appropriately scoped sections.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it points to specific repo paths and gives exact commands without re-explaining airgapping, Docker, or library basics — matching score-3; only minor tightening opportunities exist (e.g. the input-gathering sub-bullets), keeping it above score-2. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands (`uv run nemotron steps show <step_id> --json`, runner invocations with `--config`/`--execute`, `nemotron steps run` with concrete flags) and names exact config keys and file paths, matching the score-3 anchor. | 3 / 3 |
Workflow Clarity | A clear 6-step sequence with an explicit resume/recovery loop ('If a build fails midway, keep airgap-build-state.yaml and rerun'), gated destructive actions, and a Validation section with pytest and smoke commands satisfies the validation-checkpoint and feedback-loop requirements, matching score-3 rather than being capped at 2. | 3 / 3 |
Progressive Disclosure | No bundle files exist (references/scripts/assets absent), and the body is a well-organized overview with clearly signaled one-level-deep pointers to checked-in repo files; per the rubric's scoring note, a well-organized skill with no external bundle references scores 3. | 3 / 3 |
Total | 12 / 12 Passed |