pr-council-review
FeaturedMulti-dimensional LLM council review of an open PR (default) or a local feature branch (§ 8 branch mode, invoked via `/gflow:branch-review`). Five baseline dimensions (correctness, quality, security, tests, memory-hygiene) plus adaptive dimensions per surface (transports / data / CLI / docs / auth / BDD / scripts / release-gate). Each agent invokes specialized skills (security-review, code-review, verify) for its dimension. Reads files via `git show <sha>:<path>` to avoid stale-working-tree false positives. Cross-tool portable.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- ffroliva
- Repository
- ffroliva/gflow-cli
- Created
- 4 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
llm-council
Use when a pr-council-review (PR or branch mode) result needs independent corroboration from a different model family before trusting a GREEN verdict — high-stakes, security-sensitive, or architecturally significant reviews where same-model-family Claude subagents might share a blind spot. Also use when the user asks for "external", "second opinion", "cross-model", or names codex/antigravity (`agy`) or another external CLI coding agent alongside a review.
pr-review
Project-aware PR review grounded in AGENTS.md conventions and vault memory. Runs a multi-dimension review: correctness, convention compliance, test quality, security, performance, and conditional checks (TDQS scoring, feature surface docs). Use when asked to "review this PR", "review PR #X", "do a thorough review", "review against AGENTS.md", or "review with my preferences in mind". Complements the built-in /code-review (which is generic) by loading project-specific conventions and personal preferences. NOT for: quick CI failure diagnosis (use pr-monitor), post-merge testing (use verify), or code simplification without a PR context (use code-quality).
code-review
Multi-agent code review with learning feedback loop — reviews PRs using parallel specialized agents (style, logic, security) with confidence scoring and false-positive reduction