open-code-reviewlisted

# Open Code Review A skill for invoking [open-code-review](https://github.com/alibaba/open-code-review) (`ocr`) — an open-source AI code review CLI that reads Git diffs and generates structured, line-level review comments. ## Prerequisites check Before starting a review, verify the environment: ```bash # 1. Check the CLI is installed which ocr || echo "NOT INSTALLED" # 2. Verify LLM connectivity ocr llm test ``` If `ocr` is not installed, install it first: ```bash npm install -g @alibaba-group/open-code-review ``` If `ocr llm test` fails, the user must configure an LLM. Guide them with one of these options: **Option A — Environment variables (highest priority, recommended for CI):** ```bash export OCR_LLM_URL=https://api.anthropic.com/v1/messages export OCR_LLM_TOKEN=<api-key> export OCR_LLM_MODEL=claude-opus-4-6 export OCR_USE_ANTHROPIC=true ``` **Option B — Persistent config:** ```bash ocr config set llm.url https://api.anthropic.com/v1/messages ocr config set llm.auth_token <api-key> ocr config set llm.model claude-opus-4-6 ocr config set llm.use_anthropic true ``` Stop here and ask the user to provide credentials — never invent or hardcode API keys. ## Workflow ### Step 1: Gather Business Context Before running the review, inspect the review target (commits, branch, working copy) and synthesise a short `--background` string that captures the intent of the changes. This improves review quality by giving the LLM context about what the code is trying to achie