Content
85%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 well-architected orchestration skill body: clear staged workflow with strong validation discipline and clean progressive disclosure, with only minor conciseness and placeholder-substitution gaps in the densest sections.
Suggestions
Tighten the '项目内学习迁移实验' subsection by moving the most granular checkpoint/attestation edge-case rules into references/ and keeping only the gating invariants inline.
Resolve {skill_dir}/{skill} placeholders into a concrete resolution step or example so the tool-entry commands are copy-paste ready.
Consider a one-line per-stage 'when to enter this stage' trigger next to each state-machine row so the next-step logic is fully self-contained without consulting the protocol files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean and assumes Claude's competence (no concept preamble, compact tables/diagrams), but the dense '项目内学习迁移实验' edge-case block has trimming opportunities, keeping it just below a 5. | 4 / 5 |
Actionability | Provides concrete executable commands with flags (runner.py/optimize.py/regression.py/bump_version.py) and a state-machine table with file-path conditions, but uses {skill_dir}/{skill} placeholders and defers some flows to references/*/protocol.md, leaving minor gaps. | 4 / 5 |
Workflow Clarity | Clear staged state machine with explicit validation checkpoints (provenance git-commit-before-LLM gate, [measured]/[soft]/[underpowered] tags, $50 cost guard with --confirm, keep/kill convergence, expand-sample-rerun feedback) and explicit exit conditions; the batch/experimental skill has validation, so the cap-at-3 does not apply. | 5 / 5 |
Progressive Disclosure | SKILL.md is an overview that signals one-level-deep per-stage references (author/eval/optimize/release/autonomy protocol.md, optimize/support templates), explicitly instructs per-stage loading, and all referenced bundle files verified present. | 5 / 5 |
Total | 18 / 20 Passed |