Verify AI-written code against protected quality contracts
MaruCheck verifies AI-written code against a human-owned Quality Contract the AI can't edit, so a green suite it also wrote can't fake approval.
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Why it matters
Prevent AI agents from silently degrading product behavior by verifying code changes against human-approved specifications that the AI cannot edit, blocking changes that pass tests but violate protected invariants.
Outcomes
What it gets done
Block AI code changes that pass tests but violate approved behavioral contracts
Run mutation testing to prove selected tests can still fail after changes
Detect semantic drift between observed behavior and protected requirements
Install verification gates that prevent AI agents from completing turns while blocked
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/kidus-m-marucheck | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
Agent outcome reports
No reports yet
Capabilities
Tools your agent gets
Execute selected tests and write evidence, findings, terminal output, and JSON report
Score current changes with deterministic explanations
Write an inspectable, requirement-linked verification plan
Prove selected tests reject isolated TypeScript mutations
Write route, test, dependency, CI, and source inventory to project-scan.json
Validate Node.js, Git, package-manager, configuration, test, and CI prerequisites
Detect the stack and create an idempotent .maru/ configuration
Create a deterministic draft from natural-language intent
Overview
MaruCheck
MaruCheck verifies AI-written code changes against a human-owned Quality Contract the agent cannot edit, instead of letting the agent's own rewritten tests be the only judge. It scores risk, runs local tests/security/accessibility checks, mutation-tests the tests themselves, and can block an agent's turn via a Claude Code Stop hook until the gate passes. Use it whenever an AI agent writes or modifies code and also controls the tests judging it, so approval comes from a contract the agent cannot quietly edit.
What it does
MaruCheck verifies AI-written code against a Quality Contract - a human-owned, versioned specification kept outside the code under test that the AI agent cannot edit. The problem it targets: when the same actor writes an implementation and the tests that judge it (an AI agent fixing a bug can rewrite its own test alongside its fix), a green suite proves internal consistency, not approved behavior - the README's own example shows an agent silently widening a free-tier quota 100x and letting a client-supplied value override the stored subscription plan, with its own rewritten test passing. maru verify --diff checks the diff against the separately-owned contract instead and blocks it (Verification gate: BLOCKED), and maru drift check catches the same problem after the fact by comparing observed runtime behavior against the contract's protected invariants. Everything runs local-first: no account, no model API key, and no code leaves the machine.
A full run scores risk deterministically from the Git diff, selects the requirements and tests the change actually touches, executes them locally (Vitest or Jest, Playwright, axe, Semgrep, Gitleaks), mutation-tests the selected tests to prove they can actually fail (maru mutate, applying one bounded TypeScript mutation at a time in a detached worktree and flagging WEAK VERIFICATION DETECTED if a mutation survives), and compares observed behavior against protected invariants. Confirmed bugs are stored as immutable QA-memory records with root cause, related files/contracts, and regression tests, so a future diff touching related code automatically re-forces the recorded regression test back into the plan. All evidence lands as readable files under .maru/ rather than a single confidence score. A Challenger workflow (maru challenge prepare/submit) hands a bounded, tamper-evident brief to a fresh thread or subagent in the user's own AI client for adversarial review, without exposing source contents, and validates the response's schema, brief hash, and provenance - hypotheses it returns are review inputs, never findings or executable code.
Critically, the local MCP server (maru mcp) lets an agent request verification itself but never lets it approve a contract or grant its own verdict, and maru hook install registers verification as a Claude Code Stop hook so an agent literally cannot end its turn while the gate is blocked - it receives the failing requirements and an explicit instruction that editing the contract is not an available fix, with a loop guard that hands control back to a human after three consecutive blocks.
Install and try it:
npx --yes marucheck@0.4.0 init
npx --yes marucheck@0.4.0 doctor
npx --yes marucheck@0.4.0 verify --diff
(Requires Node.js 24 LTS and npm 11+.) For regular project use, pin an exact version: npm install --save-dev --save-exact marucheck@0.4.0.
When to use - and when NOT to
Use it whenever an AI agent is writing or modifying code and also controls the tests that would judge that code, and behavior approval needs to come from a source the agent cannot quietly edit. It is not a general test runner or a replacement for human contract review - contract approval is always a separate, human-owned CLI action (maru contract approve), never something an MCP client or the agent itself can perform, and drift proposals likewise require a human contract owner's approval before they apply.
Inputs and outputs
Input is a Git diff plus a repository's Quality Contract (YAML, created from natural-language requirements via maru contract create) and any recorded QA memory. Output is a deterministic risk score, a requirement-linked verification plan, a pass/blocked verification gate with evidence and findings written to .maru/, a mutation-verification verdict, and (via maru ci verify) a GitHub pull-request summary mapped to the process exit code.
Integrations
Runs as a local stdio MCP server for Codex, Claude Code, and Cursor; installs a Claude Code Stop hook for agent-gating; integrates Vitest/Jest, Playwright, axe, Semgrep, and Gitleaks as local execution adapters; and installs an idempotent, read-only GitHub Actions pull-request workflow via maru ci init. An optional, separately opt-in maru upload sends only the completed report (never source files or artifacts) to a connected dashboard.
Who it's for
Teams having AI agents write or modify code who need behavior approval to come from a human-owned contract the agent cannot edit, not from a test suite the same agent controls. MIT licensed.
Source README
MaruCheck
Test what your AI didn't. MaruCheck verifies AI-written code against a specification the AI
cannot edit. Local-first: no account, no model API key, and no code leaves your machine.
The failure this exists for
An agent is asked to fix a bug report: paying users are throttled right after upgrading. It
changes the quota code and updates the tests it owns.
// src/quota.ts
- export const FREE_MONTHLY_GENERATION_LIMIT = 10;
+ export const FREE_MONTHLY_GENERATION_LIMIT = 1000;
- export function resolvePlan(subscription: StoredSubscription): PlanTier {
- return subscription.plan;
+ export function resolvePlan(subscription: StoredSubscription, request?: GenerationRequest): PlanTier {
+ return request?.claimedPlan ?? subscription.plan;
}
// src/quota.test.ts
- it("resolves the plan from the stored subscription", () => {
+ it("honors the plan claimed by the client", () => {
The suite is green. The product is wrong: the free tier gives away a hundred times its quota, and
the plan tier now comes from a value the browser controls. Nothing in a normal pipeline objects,
because the same actor wrote the implementation and the thing that judges the implementation. A
passing suite proves internal consistency, not approved behavior.
MaruCheck keeps that judgment separate:
$ maru verify --diff
Verification gate: BLOCKED
Findings: 5 (5 blocking)
[HIGH] BLOCKING finding-001-usage-quota-quota-001: QUOTA-001 verification failed
Expected: Free plan users may perform at most 10 generations per calendar month.
Actual: Received: "pro"
$ maru drift check --from observations.json
Semantic drift: BLOCKED Conflicts: 2 (2 blocking)
[usage-quota#QUOTA-001] BLOCKING
Contract: Free plan users may perform at most 10 generations per calendar month.
Observed: Free plan users may perform at most 1000 generations per calendar month.
Approved behavior lives in a Quality Contract: a human-owned, versioned file outside the code
under test. An agent can propose a change to the code. It cannot quietly move the goalposts.
Run that example yourself
git clone https://github.com/Kidus-M/MaruCheck.git
cd MaruCheck
npm install && npm run build
node examples/quota-app/run.mjs
It builds a throwaway Git workspace, approves a contract, applies the agent's change, shows the
green suite, and then blocks the change - about a minute end to end. Readexamples/quota-app for what each file does and what to change to
see the gate behave differently.
The same story on Jest is node examples/quota-app-jest/run.mjs.
Stop the agent from declaring victory
Verification only helps if it runs. When an AI agent writes the change, the agent decides whether to
run it - and the agent is exactly who benefits from skipping it. So hand the decision to the harness:
maru hook install
That registers verification as a Claude Code Stop hook. The agent cannot end a turn while the
gate is blocked; it gets the failing requirements, the expected and actual behavior, and an explicit
instruction that editing the contract is not an available fix. The gate never wedges a session - it
gives up after three consecutive blocks and hands control back to you.
See the agent gate guide.
Install
Requirements: Node.js 24 LTS and npm 11 or newer (why).
npx --yes marucheck@0.4.0 init
npx --yes marucheck@0.4.0 doctor
npx --yes marucheck@0.4.0 verify --diff
For regular project or team use, pin the exact public package and prevent implicit downloads:
npm install --save-dev --save-exact marucheck@0.4.0
npx --no-install maru --help
See the recommended first workflow before adding
hosted reporting, MCP, or a required CI gate, and the
public installation and release guide for CI
pinning, manual release steps, optional trusted publishing, and rollback.
What a run actually does
On every diff, MaruCheck scores risk deterministically, selects the requirements and tests that
this change touches, runs them locally (Vitest, Playwright, axe, Semgrep, Gitleaks), mutation-tests
to prove those tests can still fail, and compares observed behavior against protected invariants.
It remembers confirmed bugs and forces recorded regression tests back into the plan when related
code changes again. Evidence lands in .maru/ as files you can read and argue with, not a
confidence score.
There is an MCP server so your agent can request
verification itself. It can ask for a verdict; it cannot grant one.
Why Node 24
The published bundle is built for the Node 24 target and CI runs the full quality gate on Node 24
only, so that is what the engines field claims. Nothing in the source is known to need Node 24
specifically - the CLI has been observed running on older releases - but "not known to break" is
not verification. CI now runs an informational Node 22 job; widening the supported range once that
job is green is
a good first issue.
Repository layout
The hosted Next.js application at marucheck.dev is maintained separately
in the sibling MaruCheck-Web repository so the CLI and
cloud product can release independently. This repository owns the local-first maru CLI,
verification libraries, Git analysis, Quality Contract support, and the MCP server.
Contributors changing the CLI itself build from source:
npm install
npm run check
npm run maru -- --help
During source development, invoke the built CLI from the project you want to inspect:
# In maru-cli
npm run build
# In a Next.js/React project
node ../maru-cli/packages/cli/dist/index.js init
node ../maru-cli/packages/cli/dist/index.js scan
node ../maru-cli/packages/cli/dist/index.js doctor
node ../maru-cli/packages/cli/dist/index.js contract create --from requirements.md
node ../maru-cli/packages/cli/dist/index.js risk --diff
node ../maru-cli/packages/cli/dist/index.js plan --diff
node ../maru-cli/packages/cli/dist/index.js verify --diff
node ../maru-cli/packages/cli/dist/index.js mutate --diff --max 20
node ../maru-cli/packages/cli/dist/index.js ci init
node ../maru-cli/packages/cli/dist/index.js mcp
Commands
| Command | Description |
|---|---|
npm run build |
Build workspaces and the public executable bundle |
npm run lint |
Run ESLint |
npm run format:check |
Check formatting |
npm run typecheck |
Type-check all packages |
npm test |
Run Vitest tests |
npm run check |
Run every local quality gate |
npm run example |
Run the end-to-end example in examples/quota-app |
npm run example:jest |
Run the same example on Jest |
npm run release:check |
Check code and inspect the npm tarball |
npm run maru -- --help |
Exercise the workspace CLI build |
Project commands
| Command | Description |
|---|---|
maru init |
Detect the stack and create an idempotent .maru/ configuration |
maru scan |
Write route, test, dependency, CI, and source inventory to .maru/generated/project-scan.json |
maru doctor |
Validate Node.js, Git, package-manager, configuration, test, and CI prerequisites |
maru risk --diff |
Score current changes with deterministic explanations |
maru plan --diff |
Write an inspectable, requirement-linked verification plan |
maru verify --diff |
Execute selected tests and write evidence, findings, terminal output, and JSON report |
maru upload [--report <path>] [--url <host>] |
Explicitly send the newest completed report to a connected dashboard project |
maru mutate --diff [--max 20] |
Prove selected tests reject isolated TypeScript mutations |
maru challenge prepare/submit |
Exchange a bounded adversarial brief with a fresh AI-client QA context |
maru hook install |
Register verification as a Claude Code Stop hook so an agent cannot finish on a blocked gate |
maru hook uninstall |
Remove the MaruCheck Stop hook and leave every other hook in place |
maru ci init |
Install an idempotent least-privilege GitHub pull-request workflow |
maru ci verify |
Verify, publish a GitHub summary, and return the ProofLayer check status |
maru drift check --from observations.json |
Block approved semantic conflicts without rewriting the contract |
maru memory search "authorization" |
Query historical bugs, root causes, linked files, contracts, and regression tests |
Quality Contract commands
| Command | Description |
|---|---|
maru contract create --from requirements.md |
Create a deterministic draft from natural-language intent |
maru contract list |
List current contracts, states, criticality, and version IDs |
maru contract show <id> |
Print one validated contract |
maru contract validate [path] |
Validate all current contracts or one YAML file |
maru contract diff <id-or-path> <id-or-path> |
Classify mechanical and semantic contract changes |
maru contract approve <id> --by <accountable-owner> |
Approve and snapshot one reviewed version |
Semantic drift commands
| Command | Description |
|---|---|
maru drift check --from observations.json |
Compare observed behavior with protected requirements/invariants |
maru drift propose <id> --from observations.json --reason "Why" --by <proposer> |
Write an immutable pending amendment without changing the contract |
maru drift approve <proposal-path> --by <contract-owner> |
Apply a reviewed amendment with an owner approval and audit record |
QA memory commands
| Command | Description |
|---|---|
maru memory add --from memory.json |
Store one immutable versioned historical QA record |
maru memory list |
List active records newest first |
maru memory search "invoice authorization" |
Search IDs, defects, root causes, paths, contracts, and tags |
maru memory show <MEM-id> |
Print one complete record including linked regression tests |
Repository structure
packages/
|-- challenger/ # activation policy, adversarial output validation, cost, and reports
|-- ci/ # GitHub workflow installation, summaries, and check conclusions
|-- cli/ # maru command-line interface
|-- contracts/ # Quality Contract schemas and versioning
|-- core/ # verification domain and orchestration
|-- drift/ # protected expectations and contract amendment workflow
|-- evidence/ # requirement evidence, findings, gates, and reports
|-- execution/ # test, accessibility, and security adapters plus raw run artifacts
|-- git/ # repository and diff analysis
|-- mcp-server/ # coding-agent integration
|-- memory/ # historical bugs, matching, and regression links
|-- mutation/ # isolated TypeScript mutation discovery and verification
|-- planner/ # requirement-linked verification planning
|-- risk/ # deterministic risk scoring and contract matching
`-- shared/ # stable cross-package primitives
See repository architecture and ADR-001 for the rationale.
Current scope
CLI phases 0 through 10 and Phases 12 through 14 are implemented. The local CLI supports repository discovery, Quality Contract lifecycle management, MCP coding-agent integration, Git diff metadata, deterministic risk scoring, requirement-linked verification planning, local test/security/accessibility execution, isolated mutation verification, client-mediated adversarial review, evidence/findings reports, semantic drift protection, historical QA memory, and workflow-native GitHub pull-request verification.
The CLI is packaged as one public marucheck artifact while its internal @maru/* workspaces remain non-publishable implementation packages. The complete repository is available under MIT, including the CLI, verification libraries, MCP server, documentation, and examples. Versions 0.1.0, 0.2.0, and 0.2.2 were published before the open-source transition; 0.3.0 is the first package release that carries the MIT license. The Challenger reuses a fresh context in the user’s existing AI client, so MaruCheck needs no additional model provider, API key, or outbound request. Deterministic and existing-test workflows remain fully usable without AI or a cloud account.
Known Phase 1 limitations:
- route discovery follows common Next.js filesystem conventions and does not interpret custom runtime routing;
- doctor validates declared tooling and executables but does not install browser binaries;
- no cloud account or AI provider is used or required.
Quality Contract YAML intentionally supports the documented MaruCheck schema rather than every YAML feature. Anchors, aliases, tags, merge keys, unsafe identifiers, duplicate keys, and paths outside the project root are rejected.
See the Phase 2 Quality Contracts guide and the subscription example.
MCP server
maru mcp runs a local stdio MCP server for coding agents. It exposes project context, Quality Contract reads and draft creation, QA memory recording/querying, validation, bounded Git/risk/planning tools, local verification, mutation verification, and client-mediated adversarial review. It never approves contracts or makes an outbound model call. maru_prepare_challenge returns a bounded brief for a fresh client thread/subagent, while maru_submit_challenge validates the attested response.
See the Phase 3 MCP configuration guide for Codex, Claude Code, and Cursor setup.
Git risk
maru risk --diff classifies current changes and returns a reproducible 0-100 score with explicit point contributions, related Quality Contract requirements/invariants, and recommended test categories. It works offline and does not use an LLM for scoring.
See the Phase 4 Git risk guide and ADR-004.
Verification planning
maru plan --diff writes a versioned .maru/generated/verification-plan.json connecting the current change to contract requirements, affected tests, risk-based adapter choices, uncovered requirements, and reasons for every step.
See the Phase 5 verification planner guide and ADR-005.
Verification execution
maru verify --diff executes selected local Vitest, Jest, Playwright, axe, Semgrep, and Gitleaks work, distinguishes findings from adapter errors or unavailable work, and writes bounded raw artifacts under .maru/artifacts/runs/. It never downloads missing tools during verification.
Unit work runs on whichever runner the project declares: Vitest when both are present, Jest otherwise. The Jest adapter selects test files by path with --runTestsByPath, and keeps Jest's --json report as a run artifact so every assertion result stays inspectable.
See the Phase 6 test execution guide and ADR-006.
Evidence and findings
Every verification run now writes report.json with normalized evidence, requirement mappings, deterministic severity, complete blocking findings, reproduction instructions, artifact references, and an explicit release gate. The CLI terminal view and MCP result use the same report object.
See the Phase 7 evidence and findings guide and ADR-007.
Semantic drift protection
maru drift check compares explicit observed behavior with requirement-linked contract expectations. Approved meaning changes block without rewriting the contract. MCP clients may create an immutable pending proposal, but only a current contract owner can approve it through the separate CLI action.
See the Phase 8 semantic drift guide and ADR-008.
QA memory
Confirmed bugs can be stored under .maru/memory with their root cause, related contracts/files, tags, and regression tests. Future diffs automatically match that history, increase risk, and force available recorded regression files into verification plans.
See the Phase 9 QA memory guide and ADR-009.
GitHub pull-request verification
maru ci init installs a pull-request-only workflow with read-only repository permissions. maru ci verify writes the evidence report and an escaped GitHub job summary before mapping the release gate to the process exit code. The workflow uploads .maru evidence even when a blocking contract finding fails the ProofLayer check; no GitHub App is required.
See the Phase 10 GitHub pull-request guide and ADR-010.
Agent gate
maru hook install registers maru hook run as a Claude Code Stop hook. A blocked release gate stops the agent from ending its turn and is handed back as the reason, with a loop guard that returns control to the human after three consecutive blocks. Installation merges one entry into .claude/settings.json and never rewrites hooks it did not add.
See the agent gate guide.
Hosted report upload
maru upload is a separate opt-in network action. It finds the newest completed verification
report, loads the project-scoped connection from an ignored local file or CI secrets, and sends the
report plus Git run identity. Source files, artifact contents, and unrelated environment values
remain local. Explicit report and host flags remain available for targeted retries.
See the hosted report guide and
ADR-015.
Security and accessibility adapters
UI changes can select axe-backed Playwright accessibility suites. Authentication, authorization, billing, and other security-sensitive changes select both Semgrep static analysis and Gitleaks secret scanning. Missing tools or reviewed local Semgrep rules remain explicit incomplete verification; MaruCheck does not download scanners or registry rules during a run.
See the Phase 12 security and accessibility guide and ADR-011.
Mutation verification
maru mutate --diff tests the tests. It mirrors current committed and uncommitted files into a detached temporary Git worktree, confirms the selected Vitest/Playwright baseline passes, and then applies one bounded TypeScript mutation at a time. A mutation that survives selected tests produces WEAK VERIFICATION DETECTED and blocks the mutation gate. Developer source files are never rewritten.
See the Phase 13 mutation verification guide and ADR-012.
Challenger Agent
maru challenge prepare --diff writes a tamper-evident brief containing bounded diff metadata, protected contract intent, and relevant QA memory without source contents. Give it to a fresh thread or subagent in the AI client you already use, then pass the attested JSON envelope to maru challenge submit --brief <brief.json> --from <response.json>. MaruCheck validates its schema, brief hash, known files and requirements, and client-reported provenance. Hypotheses are review inputs, not findings or executable code.
See the Phase 14 Challenger guide and ADR-013.
FAQ
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