SkillAgentSearch skills...

gavel

Code quality platform for Bazel monorepos — static analyzers as aspects, SARIF, quality gates

Install / Use

claude mcp add gavelcode -- npx -y github:gavelcode/gavel

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

71/100

Supported Platforms

Claude Code
Claude Desktop

Gavel

CI codecov License Bazel

Bazel builds your monorepo. Gavel judges it. Order in the codebase!

The quality gate for Bazel monorepos — build-graph-native, local, agent-ready.

Your monorepo builds green. That's not the same as innocent. Gavel gathers the evidence as Bazel aspects, holds every change to the law you set in gavel.yaml, and returns a verdict: the regression you just introduced stands charged, while a decade of existing debt is not on trial. One verdict, handed to your CI, your terminal, and your coding agent alike.

gavel init      # open the case
gavel judge     # hear it

Gavel judging a Bazel monorepo — a new finding is blocked while a decade of existing debt stays baselined


Install

# Homebrew — macOS & Linux
brew install gavelcode/tap/gavel

# or the install script — Linux, CI, Docker
curl -fsSL https://raw.githubusercontent.com/gavelcode/gavel/main/install.sh | sh

Prebuilt binaries for every platform are on the releases page. Gavel needs a Bazel 8.0+ (bzlmod) workspace; verify with gavel --version.

<details> <summary>Build from source</summary>
bazel build //apps/cli/cmd/gavel
# binary at bazel-bin/apps/cli/cmd/gavel/gavel_/gavel
</details>

How it works

Every change gets its day in court.

1. The evidence comes from the build graph

Analyzers — golangci-lint, PMD, CPD, SpotBugs, Error Prone, Ruff, Bandit, ESLint, Clippy — run as Bazel aspects. They see the exact source tree, dependency graph, and toolchains Bazel already resolves; no separate scanner, no second config to drift. SonarQube re-scans the world; Gavel looks only at the targets the graph says changed (--affected), so a run stays fast as the monorepo grows. Every tool, every language, normalized to one format: SARIF.

2. You're only tried for what you changed

gavel.yaml is the quality gate — code, reviewed and versioned with the repo, not clicked into a web UI. It evaluates only what you just added against a committed baseline: new findings, coverage regressions, new architecture violations. Adopt Gavel on ten years of debt and it blocks on today's diff, never on the backlog.

projects:
  - name: payments
    pattern: "//payments/..."
    tooling:
      go: [golangci-lint, archtest]
    quality_gate:
      findings: { max_error: 0 }
      coverage: { min: 80 }
      architecture_violations: { max: 0 }

Every run saves a fingerprint snapshot; the next shows the delta — new, fixed, existing — plus the coverage trend. No server required.

  payments/api/handler.go:42  error  null check missing  golangci-lint:nilerr  NEW

  ⚖  VERDICT: FAIL — code_quality
     1 new · 8 fixed · 31 existing        coverage 73.5% (↑5.0%)        architecture PASS

3. A verdict your coding agent can request

Coding agents write code they can't see the consequences of — a lint regression, a coverage drop, a layering violation land three commits later in CI. gavel mcp starts a Model Context Protocol server that exposes judge, lint_file, findings, coverage, and arch as tools. Point Claude Code, Cursor, or Zed at it and the agent checks its own work against the same Bazel-aware gate as it writes — a quality conscience, inline.

For editors and dashboards, gavel watch re-analyzes on every save and emits a JSONL event stream. Both run fully local — no server, no network.

Gavel vs SonarQube: the case

| | SonarQube | Gavel | |---|---|---| | Build-graph awareness | None | Bazel aspects understand target dependencies | | Monorepo model | One project, or a branch per project | Hierarchical: per-package, per-project, whole repo | | Analysis scope | Full scan or file diff | Bazel-aware: changed files + affected targets | | Local workflow | Server round-trip | Fully local, zero network | | Coding-agent / editor loop | — | MCP server + watch event stream | | Quality gate | Web-UI config | Code (gavel.yaml), versioned with the repo | | Progress tracking | Server-backed | Local fingerprint snapshots, no infrastructure | | Footprint | Java server + database + scanner | One static Go binary, runs inside Bazel |

SonarQube is a mature platform with fifteen years of rules behind it, and Gavel isn't trying to replace it. Gavel answers a question SonarQube structurally can't: which packages of my Bazel monorepo are healthy, and did this change make one of them worse — where the build graph is the unit of analysis and the inner loop is where quality is actually won.

Already running aspect's rules_lint? Keep it. Gavel reads the SARIF it drops in bazel-bin/ (gavel judge --findings-source=rules_lint) and turns those reports into a gate — baseline delta, coverage, architecture, verdict — the layer rules_lint deliberately leaves to you.

Status

Alpha — v0.1.0. Under active development; APIs and config formats may change. Gavel gates its own repository on every commit — it is its own first user.

Working today:

  • gavel init — scaffold config + Bazel integration
  • gavel judge — analyze, evaluate the gate, show findings and the delta
  • gavel judge --project <name> · --quick · --summary · --affected — scope and shape the run
  • gavel judge --absolute — evaluate all findings (release gates, nightly)
  • gavel judge --json · --output-sarif report.sarif — structured output for CI, IDEs, GitHub Code Scanning
  • gavel judge --server URL --token TOKEN — shared team baseline: fetch and submit
  • gavel watch — re-analyze on change, emitting a JSONL event stream
  • gavel mcp — Model Context Protocol server for editor / agent integration
  • gavel validate — check Bazel integration health
  • Baseline mode (default): fingerprint-based new/fixed/existing classification, committed to git for the team
  • Analyzers: golangci-lint, PMD, CPD, SpotBugs, Error Prone, Ruff, Bandit, ESLint, Clippy
  • Server (optional): web dashboard, centralized history, team baselines, API-token auth

Documentation

Contributing

Issues and pull requests are welcome — see CONTRIBUTING.md and our Code of Conduct. Security reports go through SECURITY.md.

License

Apache License 2.0

Related Skills

View on GitHub
GitHub Stars9
CategoryDevelopment
Updated4d ago
Forks0

Languages

Go

Security Score

87/100

Audited on Aug 17, 2026

2 low