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 lean, action-dense overview with executable commands, an explicit state-machine workflow with validation gates and feedback loops, and disciplined one-level progressive disclosure to verified reference files. It meets the top anchor on every dimension.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and jargon-tight—diagrams, tables, and tagged metrics ([measured]/[soft]) with no padding or explanation of concepts Claude already knows; not level 2 because there is no unnecessary explanation to trim, every section serves a distinct function. | 3 / 3 |
Actionability | The 工具入口 section gives real, copy-paste-ready commands (runner.py/optimize.py/regression.py/bump_version.py) with explained placeholders and flags, all referencing verified bundle scripts; not level 2 because the code is executable rather than pseudocode. | 3 / 3 |
Workflow Clarity | The Stage 状态机 table sequences steps by repo fact, with explicit validation gates (git-commit-before-LLM provenance, --dry-run cost guard, V_instance∧V_meta convergence, --confirm on budget breach) and a keep/kill feedback loop; not level 2 because checkpoints are explicit, not implicit. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that stage-gates thick rules into one-level-deep, verified references (references/{author,eval,optimize,release,autonomy}/protocol.md) with a 'load only on entering the stage' instruction; not level 2 because references are well-signaled and appropriately split, not inlined or nested. | 3 / 3 |
Total | 12 / 12 Passed |