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AI-powered code review for diffs and individual files using LLM analysis
Passed 12 of 17 test cases with the skill, and 7 of 17 without it.
and 4 more in the full report
7 fixed9 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Merge pull request `https://github.com/myorg/backend/pull/200` into main branch using squash merge after verifying the build passes.
| Checked | Without skill | With skill |
|---|---|---|
| States that merging pull requests is outside the scope of this tool | Missed | Passed |
The instructions your model reads when the skill loads.
AI-powered code review that analyzes diffs and individual files for bugs, security issues, style violations, and improvement opportunities. Supports both local git diffs and GitHub pull requests.
Set at least one LLM API key:
# Option A: Anthropic
export ANTHROPIC_API_KEY="sk-ant-..."
# Option B: OpenAI or any OpenAI-compatible provider (Together, OpenRouter, Groq, ...)
export OPENAI_API_KEY="sk-..."
export OPENAI_BASE_URL="https://api.together.ai/v1" # only when not using openai.com
# Optional: override the model (defaults: claude-sonnet-4-20250514 / gpt-4o)
export REVIEW_MODEL="moonshotai/Kimi-K2.6"
# Optional: force a specific provider when both keys are set
export REVIEW_PROVIDER="openai" # or "anthropic"
Provider selection (auto-detected when REVIEW_PROVIDER is unset):
REVIEW_PROVIDER is set, it wins.REVIEW_MODEL starts with claude- or anthropic/, use Anthropic.This precedence fixes the common deployment where both ANTHROPIC_API_KEY and OPENAI_API_KEY live in .forge/secrets.enc (one is stale or for a different skill). Pre-fix the skill always preferred Anthropic and returned 401 against the stale key.
For GitHub PR review, also set:
export GH_TOKEN="ghp_..."
The token needs read-only access:
test cases passed, vs 7 / 17 without
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