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.
A well-structured, actionable deployment runbook with executable commands, explicit validation checkpoints, and error-recovery guidance. It is concise and domain-specific, with only minor room for tightening and better file-level organization.
Suggestions
Tighten the explanatory notes around short-proxy/S3 defaults in step 3 to bare assertions, since they add length without changing the action.
Consider extracting the optional env-var override table and the troubleshooting matrix into a separate reference file to improve progressive disclosure and keep SKILL.md as a lean overview.
Add an explicit 'success criteria' checklist at the end of the deployment flow so the validation gate is unambiguous before reporting back to the user.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and filled with FastGPT-specific details Claude would not already know (env vars, port numbers, service names), with only minor explanatory sentences ('当前版本的默认 short-proxy 下载模式不需要配置外部 S3 地址') that could be trimmed. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready commands throughout (mkdir, curl install.sh, FASTGPT_NON_INTERACTIVE=true bash install.sh, docker compose up -d, docker compose ps, curl -I http://localhost:3000) plus concrete env-var overrides covering common cases. | 5 / 5 |
Workflow Clarity | A clearly sequenced six-step deployment flow with explicit validation checkpoints (non-empty directory guard, service health monitoring via docker compose ps/logs, curl -I access verification) and a troubleshooting section providing error-recovery feedback loops; the destructive-operation cap does not apply because validation is present. | 5 / 5 |
Progressive Disclosure | Well-organized into clear sections (目标, 工作边界, 部署流程, 常见问题处理, 最终回复) with no nested references and no bundle files, but at over 50 lines it does not qualify for the simple-skill auto-5 and has minor organization gaps. | 4 / 5 |
Total | 18 / 20 Passed |