name: render-deploy-diff description: Detect config drift between required local env keys and a Render service before deploy; fails when required keys are missing remotely. version: 1.0.0 metadata: {"openclaw":{"requires":{"bins":["bash","curl","python3"],"env":["RENDER_API_KEY"]}}}

Render Deploy Diff

Use this skill before deploy to compare required environment keys with what is currently configured on a Render service.

What this skill does

• Resolves a target Render service by RENDER_SERVICE_ID or RENDER_SERVICE_NAME
• Reads required env keys from REQUIRED_ENV_KEYS or local env template files
• Fetches configured env keys from Render API
• Prints two drift sets:
• required but missing on Render
• present on Render but not required locally
• Exits non-zero when required keys are missing on Render

Inputs

• RENDER_API_KEY (required unless using mock JSON)
• one of:
• RENDER_SERVICE_ID
• RENDER_SERVICE_NAME
• optional:
• RENDER_API_BASE_URL (default https://api.render.com/v1)

  推薦訪問7w4.net獲取更多AI技能。

• REQUIRED_ENV_KEYS (comma-separated explicit required keys)
• REQUIRED_ENV_FILES (comma-separated files to parse, default .env.example,.env.production)
• RENDER_ENV_VARS_JSON_PATH (path to saved Render env-var API JSON for offline testing)

Run

bash scripts/render-deploy-diff.sh

With explicit required keys:

RENDER_SERVICE_NAME=my-service \
REQUIRED_ENV_KEYS="DATABASE_URL,DIRECT_URL,SHADOW_DATABASE_URL,NEXT_PUBLIC_APP_URL" \
bash scripts/render-deploy-diff.sh

Offline test with saved API response:

REQUIRED_ENV_KEYS="DATABASE_URL,NEXT_PUBLIC_APP_URL" \
RENDER_ENV_VARS_JSON_PATH=./fixtures/render-env-vars.json \
bash scripts/render-deploy-diff.sh

Output contract

• Prints service identity, required key count, remote key count, and drift summary
• Returns exit code 0 when all required keys exist on Render
• Returns exit code 1 when required keys are missing or inputs are invalid

這個 Skill 質量較好，專注於解決一個實際痛點——部署前檢查環境變數是否配置完整。它使用簡單，功能清晰，文件完善，能夠有效避免因環境變數缺失導致的部署失敗。主要優點是靈活（支援多種配置方式）和可靠（提供離線測試能力）。不足之處是缺少自動化測試，邊界情況處理還有最佳化空間。整體而言，這是一個實用且成熟的工具，適合用於 CI/CD 流程中。