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 well-structured, executable, and progressively disclosed with verified bundle references. Workflows are clearly sequenced with decision/exit-code verification checkpoints appropriate to an advisory gate.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence — it skips basic concepts and uses concrete JSON/CLI examples; only minor reinforcement between Overview and Key Principles keeps it from feeling padded. | 3 / 3 |
Actionability | Provides fully executable CLI invocations with real flags, a complete candidate JSON example, and a decision table — copy-paste ready rather than pseudocode. | 3 / 3 |
Workflow Clarity | Sequences Step 1 (prepare checklist) → Step 2 (run gate) → Step 3 (interpret decision), with the decision table and exit codes (`--fail-on-non-go`) acting as explicit verification checkpoints; the skill is advisory/offline so the destructive-batch cap does not apply. | 3 / 3 |
Progressive Disclosure | A concise overview plus a Resources section signals real one-level-deep bundle files (verified present: scripts/check_pre_trade_discipline.py and references/discipline_gate_framework.md), with framework detail correctly split into the reference file. | 3 / 3 |
Total | 12 / 12 Passed |