ship-safe

Open source alternative to Snyk, Semgrep AppSec Platform and GitHub Advanced Security

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MIT
Active this week
Last commit 6 days ago

Last verified Oct 20, 2026

Secure AI-native codebases with 29 parallel security agents that detect LLM vulnerabilities, MCP misconfigs, hardcoded secrets, and supply chain risks.

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Read the full breakdownWho it is for, how it works, trade-offs, the quick start and the FAQ

who it's for

Who ship-safe is for#

Developers shipping apps with AI agent or MCP integrations

Ship Safe catches the configuration risks that emerge when apps connect to MCP servers, manage agent permissions, or accept user input into LLM prompts. One command scans .claude/ configs, mcp.json, and agent orchestration files alongside the application code, giving a combined risk picture before a pull request merges.

Skip if:

Your codebase has no AI agent integrations, LLM prompt handling, or MCP server connections. For traditional web apps, a dedicated SAST tool covers your attack surface more thoroughly without the agentic-specific overhead.

Security teams adding AI security checks to CI/CD pipelines

The ship-safe ci command drops into a GitHub Actions workflow in one step, generates SARIF output for the GitHub Security tab, and applies configurable thresholds. The baseline comparison mode (--write-baseline-report and --base-report flags) lets teams block only on regressions, not pre-existing debt.

Skip if:

You need a single managed SAST platform covering both traditional and agentic security. Ship Safe is a complement, not a full replacement, for teams already using Snyk, Semgrep, or GitHub Advanced Security for their broader security program.

Solo developers and small teams building AI-first products

The free CLI has no account, no API key requirement, and unlimited local scans. Running npx ship-safe before committing provides a pre-merge security check that catches exposed credentials, risky agent configs, and supply chain issues without adding a paid service to the stack.

Skip if:

You need shared scan history, team-level reporting, or PR Guardian comments in pull requests. Those features require the Pro ($9/month) or Team ($19/seat/month) plans.

Platform teams auditing AI CI/CD pipelines and managed agents

ManagedAgentScanner and CICDScanner cover Claude Managed Agent misconfigs (always_allow policies, unrestricted networking) and CI/CD pipeline poisoning (unpinned GitHub Actions, secret logging). The capabilities subcommand reports what an AI agent working in a repository can actually reach by reading permissions, MCP configs, and hooks together.

Skip if:

Your team does not manage AI agents or automated AI-driven CI pipelines. Standard CI security tools cover the traditional pipeline attack surface without the agentic-specific overhead.

the problem

The problem it solves#

Web security tooling was designed for a simpler stack. SQL injection, XSS, and credential scanning are well-covered by existing SAST tools. But when an application integrates AI agents, connects to MCP servers, feeds user input into LLM prompts, or relies on AI-generated code, a new class of risk appears that legacy scanners cannot see.

Most teams building AI-native apps do not audit their agent configurations before deployment. MCP server tool permissions are set once and never reviewed. Prompts that accept user input go untested for injection. CLAUDE.md files that instruct agents with broad write permissions sit in repositories accessible to anyone who can open a pull request. By the time a configuration issue becomes a production incident, the blast radius is already set.

The challenge is compounded by tooling gaps: neither Snyk, Semgrep, nor GitHub Advanced Security covers OWASP Agentic AI Top 10 risks by default. Teams that want coverage for agent hijacking, RAG poisoning, or MCP tool injection must build custom rules or accept the gap.

how ship-safe solves it

How it solves it#

29 parallel security agents

All 29 agents run concurrently in a single scan, covering AI/LLM risks, MCP configs, application security, supply chain, secrets, CI/CD hygiene, and OWASP Agentic AI Top 10. Each agent skips checks that do not apply to the project, so scan time stays low on focused codebases.

Local-first scan with no API key required

The core scanner runs fully offline against a local repository. No account, signup, or code upload required. Use --no-ai to guarantee a fully local scan; provider-backed deep analysis modes are opt-in and use your own configured provider.

Investigation layer with cited evidence

A second pass after detection decides whether each finding is real. DataflowInvestigator traces tainted values across file boundaries; CapabilityGraph builds attack chains across configuration no single file contains. Each verdict cites the exact lines it was concluded from.

CI/CD integration with SARIF output

The ship-safe ci command fails builds on configurable severity thresholds (critical, high) or verdict-gated with --fail-on-verdict confirmed. SARIF output uploads directly to the GitHub Security tab or any SARIF-aware pipeline. A one-step GitHub Actions workflow is included in the README.

Agentic AI attack surface coverage

Dedicated agents cover MCP transport security, Claude Managed Agent misconfigs, RAG poisoning, memory instruction injection, agent orchestration trust boundaries, and slopsquatting (hallucinated package imports). Coverage maps to OWASP Agentic AI Top 10 (ASI01-ASI10).

Interactive REPL and fix agent

The ship-safe REPL lets you scan, review findings, and run the interactive fix agent in one session. The fix agent proposes a plan and diff, asks before writing, verifies the fix closed the path, and supports undo. The --branch --pr flag opens the fix on a new branch with a pull request.

strengths · trade-offs

Strengths and trade-offs#

Strengths

MIT license with local-only core scanThe CLI is MIT licensed and the core 29-agent scan runs without sending code to any external service. Use --no-ai to guarantee a fully local run. This matters for teams with compliance requirements or sensitive codebases where source code cannot leave the environment.
OWASP Agentic AI Top 10 coverage out of the box29 agents map to ASI01-ASI10 in the OWASP Agentic AI taxonomy, covering agent hijacking, unauthorized capability expansion, supply chain attacks on AI components, and trust boundary violations. Traditional SAST tools do not have rulesets for these categories.
Verdict-based CI gatingCI mode can block on investigation verdict rather than pattern severity, using --fail-on-verdict confirmed. A finding traced end-to-end and confirmed blocks the build; a finding argued away (refuted) does not. This reduces false-positive blocks compared to threshold-only SAST gating.
Reads agent configs without production changesShip Safe reads .claude/ configs, mcp.json, .cursor/rules, AGENTS.md, GitHub Actions workflows, and package manifests without any runtime agent or proxy. It scans what is already in the repository rather than requiring installation into the production environment.

Trade-offs

-Hosted features require a paid planScan history, PR Guardian, private repository scanning, and PDF reports are on paid plans ($9/month Pro, $19/seat/month Team). The free CLI provides unlimited local scans and SARIF output, but teams that want PR-level comments, shared history, or cloud dashboards must upgrade.
-Benchmark corpus is small and first-partyThe published benchmark covers 12 paired scenarios (one vulnerable case and one safe control per scenario). The documentation notes this measures detection on a first-party corpus, not real-world precision, and the corpus is small by industry standards. Independent third-party benchmarks for the AI-specific agents do not yet exist.
-Dataflow investigation covers three languagesDataflowInvestigator, which traces tainted values across file boundaries to confirm findings, supports JavaScript, TypeScript, and Python. Projects in Go, Ruby, Java, or other languages receive deterministic agent scans and heuristic analysis but not full cross-file dataflow confirmation.

versus alternatives

ship-safe vs alternatives#

Ship Safe vs Snyk

Snyk is a commercial dependency and application security platform focused on vulnerability management in code, containers, and infrastructure. Ship Safe is MIT licensed and adds the agentic AI attack surface that Snyk does not cover.

Snyk excels at dependency vulnerability management across a wide range of languages and build systems, with deep CVE tracking and guided remediation. Ship Safe covers supply chain risks through its SupplyChainAudit agent but focuses primarily on the AI-native attack surface: MCP server configs, prompt injection paths, agent permission risks, and OWASP Agentic AI Top 10 categories.

Feature	Ship Safe	Snyk
License	MIT	Proprietary
Core scan local	Yes	Cloud-based
AI agent security	Yes (29 agents)	No
MCP config scanning	Yes	No
Dependency CVEs	Yes	Yes
SARIF output	Yes	Yes

Teams already using Snyk for dependency management can run Ship Safe alongside it to add AI-specific coverage Snyk does not provide.

Ship Safe vs Semgrep AppSec Platform

Semgrep's open source engine is a widely used SAST tool with a large community ruleset. The AppSec Platform adds managed deployment and enterprise integrations. Ship Safe has narrower general SAST language coverage than Semgrep, but adds agentic AI detection that Semgrep rulesets do not include.

Semgrep is the better choice for organizations that need broad SAST coverage across many languages with mature rule libraries. Ship Safe is the better choice for teams building on AI agents, MCP servers, and LLM-backed workflows, where its 29 specialized agents cover attack surface Semgrep has no standard rules for.

Feature	Ship Safe	Semgrep AppSec Platform
License	MIT	Commercial
AI/LLM security	Yes	No (custom rules needed)
OWASP Agentic AI	Yes (ASI01-ASI10)	No
CI/CD integration	Yes (SARIF)	Yes

Ship Safe vs GitHub Advanced Security

GitHub Advanced Security bundles CodeQL static analysis, secret scanning, and Dependabot alerts, gated behind a GitHub Enterprise license. Ship Safe is MIT licensed, runs without a GitHub account, and works on any local repository.

GitHub Advanced Security is the stronger choice for teams on GitHub Enterprise who want tightly integrated secret scanning and CodeQL depth. Ship Safe adds the agentic AI coverage GitHub Advanced Security lacks: it scans .claude/ configs, MCP server settings, and agent orchestration files that GitHub Advanced Security has no detection surface for. For teams not on GitHub Enterprise, Ship Safe provides an AI-specific security baseline at no cost.

Feature	Ship Safe	GitHub Advanced Security
License	MIT	Proprietary
Runs locally	Yes	No
AI agent scanning	Yes	No
MCP config scanning	Yes	No
Cost	Free CLI; $9-19/mo paid	GitHub Enterprise

install · quick start

Quick start#

bash

Ship Safe is an npm CLI; install it globally or run on demand with npx for local and CI scans.
```bash
npm install -g ship-safe
npx ship-safe
npx ship-safe ci . --sarif results.sarif
```

tech stack · detected from GitHub

What it's built on#

Languages: JavaScriptPythonTypeScript
Tooling: npm

frequently asked

FAQ#

Does Ship Safe send my code to an LLM?

No, not in the core scan. The deterministic scanner runs entirely locally with no code upload. Provider-backed modes (deep analysis, AI red-teaming) send bounded context to your own configured provider after credential masking, and can be disabled entirely with --no-ai. The Security and Data Flow documentation at shipsafe.sh/security details the exact boundaries.

Is Ship Safe free to use?

The CLI is MIT licensed and free for unlimited local scans, CI integration, and SARIF output. Paid plans add hosted features: Pro ($9/month) includes scan history, private repo support, and cloud dashboards; Team ($19/seat/month) adds shared workspaces, PR Guardian, Slack alerts, and audit logs. Running out of cloud credits never affects your local scans.

How does Ship Safe differ from Snyk or GitHub Advanced Security?

Snyk and GitHub Advanced Security focus on traditional application security: dependency vulnerabilities, SAST, and secret scanning. Ship Safe adds coverage for the attack surface introduced by AI agents: MCP tool permissions, prompt injection vectors, agent hijacking paths, RAG poisoning, and OWASP Agentic AI Top 10 categories. It is designed to complement existing SAST tools, not replace them.

What languages and stacks does Ship Safe support?

The 29 security agents run across JavaScript, TypeScript, Python, config files, infrastructure files, and GitHub Actions workflows. Dataflow investigation (which traces tainted values to confirm findings) covers JavaScript, TypeScript, and Python. Projects in other languages receive deterministic agent scans and heuristic analysis.

Can Ship Safe run in CI without any API keys or accounts?

Yes. The core scan requires no API key and no account. The npx ship-safe ci command runs locally, outputs SARIF, and exits with a non-zero code on findings above the configured threshold. AI-backed analysis modes are opt-in and use your own provider key when enabled; disable them with --no-ai to keep the scan fully local.

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