Content
88%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 is highly actionable and excellently sequenced, with exact commands, gate thresholds, validation feedback loops, and auto-fix rules that make the 8-phase audit unambiguous to execute. The only real weakness is progressive disclosure: it is a single inlined monolith with no reference files to offload detail, and the decorative boxed report adds token weight.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational with minimal concept re-explanation, but the boxed ASCII report and the repeated gate-rule/verdict tables carry some tokens a tighter summary could omit, so it is efficient with minor trimming possible rather than the fully lean 5 anchor. | 4 / 5 |
Actionability | It provides copy-paste-ready exact commands for each phase (e.g. 'python3 engineering/skills/skill-tester/scripts/skill_validator.py {skill_path} --tier {detected_tier} --json'), explicit gate thresholds, and concrete auto-fix instructions, fully matching the executable 'copy-paste ready' anchor. | 5 / 5 |
Workflow Clarity | The 8 phases are explicitly sequenced with validation checkpoints and feedback loops ('Re-run after fixes. If still below 75, report as FAIL', '**Only proceed when validation passes**'), plus gate rules and a verdict table — matching the 5 anchor's clear sequence with explicit validation and error-recovery loops. | 5 / 5 |
Progressive Disclosure | Content is well-organized into clear sections and offloads specifics to a 'Skill References' table of tool paths, but the body is largely a single self-contained monolith with no one-level-deep reference files (no references/ scripts/ assets/ bundles exist), so it is well-structured but lacks the clearly signaled external references of the 5 anchor. | 4 / 5 |
Total | 18 / 20 Passed |