Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise, well-structured, and has a clear workflow with validation, but actionability is held back by the absence of any executable API-call example for the core Feishu/Lark operations.
Suggestions
Add a short, copy-paste-ready example for a core action (e.g., a curl/Python snippet obtaining a tenant access token or sending a webhook message using the named env vars) to lift actionability to 3.
Optionally show one concrete MCP tool definition (e.g., `send_message`) with its expected inputs so the MCP setup path is fully executable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and well-organized with no padding or explanation of concepts Claude already knows; every section earns its place. | 3 / 3 |
Actionability | It gives concrete specifics (env var names, endpoints, `deepseek mcp` commands, tool names) but provides no fully executable API-call example or code block, leaving key details for the core actions missing. | 2 / 3 |
Workflow Clarity | A clear 6-step sequence includes an explicit verification checkpoint ("Verify with a dry run, sandbox document, or read-back call") plus a confirmation gate before externally visible actions. | 3 / 3 |
Progressive Disclosure | Under 50 lines with no need for external references, the skill uses well-organized sections (Ground Rules, Common Use Cases, Workflow), satisfying the simple-skill criterion for a top score. | 3 / 3 |
Total | 11 / 12 Passed |