coverctl

Agent-loop coverage governance — coverage your AI coding agent calls before commit, not a dashboard you read after CI.

Get started ↓ · What it looks like ↓ · MCP tools ↓ · CLI reference ↓ · Why this exists ↓ · Community ↓

"Our AI agents ship code fast, but they're blind to coverage policy while editing. We only see breakage in CI, after context is gone, and the same agent then guesses its way to a fix."

Works best on standard Go/Python/JavaScript/Java/Rust projects with conventional layouts. Mock-heavy code or exotic monorepos may need an explicit domains: block in .coverctl.yaml.

Get started

brew install klarlabs-studio/tap/coverctl

Wire into Claude Code (~/.config/claude-code/mcp.json):

{
  "mcpServers": {
    "coverctl": {
      "command": "coverctl",
      "args": ["mcp", "serve"]
    }
  }
}

Ask the agent: "Run coverctl check and tell me which domains regressed."

For Cursor / Cline / Claude Desktop / Aider / Continue / OpenCode and other MCP clients, see docs/src/content/docs/mcp.mdx. All MCP-capable clients work; coverctl mcp serve runs in agent mode by default (3 tools: check, suggest, debt). Use --mode=ci for the full nine-tool surface.

Validate the install end-to-end:

coverctl mcp doctor   # PASS/FAIL per step with remediation

What it looks like in the agent loop

Rendered for clarity — your client may format tool-calls differently.

You:    Add the email-validation feature to the api domain.

Claude: I'll add EmailValidator + tests in internal/api/email.

  [edits: internal/api/email.go, internal/api/email_test.go]

  Tool call → coverctl check
  Result   → passed: false; failing: api (78.2%, required 80%)
             uncovered: internal/api/email.go:42-58 (error paths)

  Tool call → coverctl suggest api
  Result   → uncovered files: email.go (16 lines), retry.go (4 lines)

  Two error branches in EmailValidator.Validate are uncovered.
  I'll add cases for empty-input and malformed-domain so api meets
  the 80% threshold before we commit.

The regression that used to surface in CI 8 minutes later is fixed in the same agent turn.

The agent does well: reads check output verbatim, calls suggest to find uncovered files, calls debt to rank smallest fixes, re-runs check to confirm.

Watch for: agents lowering thresholds in .coverctl.yaml to "fix" a failure (it's not a fix). Agents claiming coverage rose without a new check call (hallucination). Agents ignoring rejection error_code and retrying with the same input.

coverctl returns deterministic structured signals; the agent's fix still needs a human reading. The full contract is in docs/src/content/docs/mcp.mdx.

Why this exists

AI coding agents write code blind to coverage. They edit, you commit, the regression surfaces in CI minutes or hours later — too late to course-correct in the same session. Existing coverage tools (Codecov, Coveralls, native go test -cover) target humans reading dashboards or PR comments, not agents reasoning inline.

coverctl is built for the agent loop:

• Catches regressions before commit. Coverage feedback in the agent's edit turn — not minutes after CI fails. The wedge metric is regressions caught pre-commit.
• Agent-callable via MCP. Speaks MCP — the multi-vendor agent-tool standard now governed by Anthropic, OpenAI, Google, Microsoft, AWS. Works with every MCP-capable client today; works with whatever ships next without modification.
• Polyglot governance, one config. One .coverctl.yaml enforces per-domain thresholds across 15 languages. Agents touch any language; coverage tooling must too.
• Local-first. Your source never leaves the machine. Agent calls coverctl over stdio, not over a SaaS API. No account, no upload, no third-party dependency in the agent's reach.
• Hardened MCP surface. Input + output sanitization defends against prompt-injection through test-runner flags and hostile filenames in coverage profiles (Lethal Trifecta).

The CLI and MCP server are Apache-2.0 licensed and stay free. A hosted layer for cross-repo coverage history is on the roadmap (see docs/strategy/monetization-decision.md) — additive, not a paywall.

MCP tools

Agent mode advertises three tools (check, suggest, debt) for reliable agent tool selection. CI mode (--mode=ci) adds the rest.

MCP resources (read-only context)

Security boundaries

coverctl treats MCP traffic as untrusted in both directions, per the Lethal Trifecta threat model.

• Input boundary. Test-runner flags that allow arbitrary code loading (--rootdir, --cov-config, -D, -I, --require, --init-script, --node-options, ...) are rejected when they come from MCP. Rejection responses use a stable schema with error_code and agent-actionable remediation. CLI invocations from a human terminal are not sanitized; the human is the trust boundary there.
• Output boundary. User-controlled strings flowing back to the agent (filenames in coverage profiles, test names, profile-derived paths, PR description content in pr-comment) are canonicalized before return. Prevents return-trip prompt injection through a hostile PR or attacker-named test file.

coverctl is local-first. The default install transmits nothing — no telemetry, no analytics, no source data. An opt-in --mcp-telemetry flag emits structured tool-call events to stderr for users who want to instrument their own pipelines (format documented in docs/design/mcp-metrics-spec.md). Adversarial evals (50+ scenarios under internal/eval/) gate every release on rejection-schema integrity and prompt-injection resistance.

Full threat model + residual risk: docs/security/mcp-threat-model.md.

CLI reference

The CLI is the substrate behind the MCP server; humans can use it directly.

Global flags: -q/--quiet, --no-color, --ci (combines quiet + GitHub Actions annotations).

Test-execution flags

check, run, record accept toolchain flags forwarded to the underlying test runner:

Terminal flow (without an agent)

If you prefer running coverctl directly:

coverctl init      # auto-detect language + domains, write .coverctl.yaml
coverctl check     # enforce policy; exit 1 on violation
coverctl suggest --strategy current
coverctl record

If a step fails: coverctl detect --dry-run previews init output; coverctl check -o json surfaces structured failure detail; coverctl record --commit "$(git rev-parse HEAD)" --branch "$(git rev-parse --abbrev-ref HEAD)" provides metadata explicitly in CI.

Configuration

.coverctl.yaml (schema: schemas/coverctl.schema.json):

version: 1
policy:
  default:
    min: 75
  domains:
    - name: auth
      match: ["./internal/auth/..."]
      min: 90       # critical path — stricter
    - name: api
      match: ["./internal/api/..."]
      min: 80
    - name: utils
      match: ["./internal/utils/..."]
      # falls back to default min: 75
exclude:
  - internal/generated/*

Per-domain enforcement is the point: overall coverage hides regressions in critical paths. coverctl evaluates each domain against its own minimum and fails the build if any domain falls below.

Advanced

files:
  - match: ["internal/core/*.go"]
    min: 90                          # per-file overrides
diff:
  enabled: true
  base: origin/main                  # only enforce on changed files
integration:
  enabled: true                      # Go 1.20+ GOCOVERDIR integration tests
  packages: ["./internal/integration/..."]
  cover_dir: ".cover/integration"
  profile: ".cover/integration.out"
merge:
  profiles: [".cover/unit.out", ".cover/integration.out"]
annotations:
  enabled: true                      # // coverctl:ignore, // coverctl:domain=NAME

Multi-package monorepo? Use extends: for inherited policies. Starting point: copy templates/coverctl.yaml.

Supported languages

GitHub Action

jobs:
  coverage:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v6
      - uses: actions/setup-go@v6
        with:
          go-version: "1.25"
      - uses: ./.github/actions/coverctl
        with:
          command: check
          config: .coverctl.yaml
          output: text

For platform & devex teams

Standardizing coverage policy across many polyglot repos? coverctl ships with the artifacts your security and procurement reviews will ask for:

• MCP threat model — input + output boundary controls, prompt-injection defense, residual risks.
• Rejection schema reference — stable error_code + remediation contract for agent recovery.
• GTM funnel metrics spec — what's instrumented and how telemetry stays opt-in.

Considering coverctl org-wide? Open a GitHub issue with label platform-evaluation — happy to walk through architecture and trust boundaries.

Community

• Claude Code Plugin Marketplace — install coverctl directly via /plugin install.
• MCP Registry — listed at registry.modelcontextprotocol.io.
• GitHub Discussions — go.klarlabs.de/coverctl/discussions.
• Sponsor coverctl development — github.com/sponsors/felixgeelhaar.

Used coverctl for a few weeks? Run coverctl survey to share PMF feedback (local-only by default; nothing transmitted unless you opt in).

Built by Felix Geelhaar with contributions from the polyglot AI-coding community.

Contributing

• TDD: tests before behavior changes.
• Coverage ≥80% (go test ./... -cover).
• Conventional Commits (feat:, fix:, chore:, ...) for Relicta version-bump logic.
• main is protected; merge via PR after CI green (.github/workflows/go.yml + .github/workflows/eval.yml).
• Run gofmt -w and golangci-lint v2 before pushing.

Architecture details for contributors: ARCHITECTURE.md.

Releases

Managed by Relicta. Do not push v* tags manually.

Security

See SECURITY.md for disclosure policy. MCP-input sanitization (internal/mcp/sanitize.go) and output canonicalization (internal/mcp/sanitize_output.go) are the primary defenses against prompt-injection-driven argument and content attacks; report bypasses privately.