Content
86%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-structured, actionable skill body: a routing table maps intents to executable commands and references, processing chains sequence the multi-step flows, and a 1395001 decision tree supplies the write-failure feedback loop. Minor redundancy between the retry guidance and decision tree is the only blemish.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and free of concept-padding, but the '1395001 决策树' section restates the 'don't blindly retry / max 1 retry' rule already in execution principle #3, a minor redundancy that could be trimmed. | 4 / 5 |
Actionability | A concrete intent→command→reference routing table plus an executable lark-cli code block (search/get/create/query/approve with realistic --data JSON) gives copy-paste-ready guidance covering the common cases. | 5 / 5 |
Workflow Clarity | Processing chains (search→get→create; query→get→execute) are explicit and the 1395001 decision tree provides an error-recovery feedback loop, though pre-write verification relies on having instance_code+task_id with no explicit confirm step. | 4 / 5 |
Progressive Disclosure | The body is a concise overview that signals one-level-deep references for every command (all referenced files verified to exist in references/), with detailed parameter structures correctly deferred to those files. | 5 / 5 |
Total | 18 / 20 Passed |