Catch risky AI code before it reaches main

Run Skylos locally for free to catch dead code, secrets, risky AI changes, and technical-debt hotspots. Add Cloud when your team needs history, PR evidence, and shared triage.

See Cloud plans

No login for local scans. Try skylos . -a on one repo first.

Security regressionsDead codeSecretsAI defectsDependency CVEsPR gates
Interactive browser demo
Edit a sample and scan it instantly

Representative results from simplified browser checks. The full Skylos scanner runs locally with repository context and 200+ rules.

What it catches

What teams use Skylos to catch

Security and reliability mistakes that slip through busy AI-assisted reviews.

Removed security controls

Auth decorators, CSRF checks, rate limits, and other controls removed by refactors.

AI-generated defects

Invented imports and APIs, impossible dependency versions, missing guards, and insecure defaults.

Dead code in real Python apps

Lower-noise checks for Django, Flask, FastAPI, Pydantic, and pytest.

Secrets and risky flows

Find hardcoded credentials, injection paths, unsafe calls, and dependency risks.

Evidence

Evidence you can inspect

Follow the links to the exact upstream pull requests and maintainer decisions.

Maintainer validation
8 PRs

Merged cleanup PRs into real Python libraries

Maintainers merged eight Skylos-assisted cleanup PRs across seven open-source projects.

View merged PRs

Rollout path

Try one repo first.

Add CI only after the local scan finds useful signal.

1

Install CLI

$ pip install skylos

No login or repo connection.

2

Run your first scan

$ skylos . -a

Check a repo you already care about.

3

Add PR gates when ready

$ skylos cicd init

Block risky merges after Skylos earns trust.

Pricing

Choose the workflow you need.

Free is for local signal. Cloud is for team memory. Enterprise is for scale, retention, and audit evidence.

Free OSS CLI

For one developer or one repo proving whether Skylos catches useful signal.

$0
  • Local scans with no login
  • Dead code, secrets, security, quality, debt
  • Diff review, CI gate, agents, MCP, AI defense
  • Best when terminal output is enough
Team starter

Cloud Workspace

For teams that need shared history, review workflow, and evidence across repos.

$9/ 50 credits
50 credits can cover

50 scan uploads, 25 comparisons, 16 PR auto-fix actions, 10 AI triage actions, or 5 MCP remediations.

  • 10 projects and 500 stored scans
  • 90-day history, full trends, compare
  • PR comments, SARIF, exports, integrations
  • Exceptions, overrides, team collaboration
  • Credits meter cloud actions only
Start a workspaceExplore Cloud workflow

Enterprise Rollout

For teams that need predictable usage, longer retention, and compliance-friendly audit exports.

Custom
  • Everything in Team
  • Unlimited credits
  • Higher project and stored-scan limits
  • 365-day retention and higher API limits
  • Provenance compliance audit export
Talk to us

Evaluate Skylos

Start quickly. Verify the fit.

Follow the quickstart, review how Skylos handles security, or compare it with your current scanner.

CLI quickstart

Install Skylos and run the first local scan on your repository.

Open quickstart

Security and trust

Review data handling, service controls, retention, and operational status.

Review trust details

Scanner comparisons

Compare workflows, detection scope, and tradeoffs before changing a quality gate.

Compare scanners

Common questions

Frequently asked questions

Is Skylos free?+

Yes. The CLI runs locally without login. Cloud is paid for shared history, scan comparison, PR evidence, collaboration, and governance.

Does Skylos upload my source code?+

A standard local CLI scan stays on your machine and needs no account. If you choose Cloud, a report may include findings, file paths, line numbers, and optional snippets. Dependency lookups and configured AI providers are also explicit networked features.

Which languages does Skylos support?+

Static analysis covers Python, JavaScript and TypeScript, Go, Java, Kotlin, PHP, Rust, Dart, C#, Shell, and deployment configuration. Analysis depth varies by language; deterministic local API verification currently covers Python, JavaScript and TypeScript, Go, and Java.

What do teams get with Skylos Cloud?+

Cloud adds uploaded scan history, run comparison, shared triage, exceptions, exports, Slack or Discord alerts, PR workflows, and cloud AI actions.

How does Skylos fit with SonarQube, Semgrep, GitHub Advanced Security, or Snyk?+

Skylos can run beside an existing scanner and focus on AI-heavy repositories, removed controls, framework-aware dead code, technical debt, and changed-code regressions.

Can Skylos review Claude Code, Cursor, Codex, or Copilot output?+

Yes. Run Skylos before commit or in CI to catch removed validation, auth checks, rate limits, secrets handling, and other risky AI changes.

Start with the free CLI.

Add Cloud when reviewers need history, evidence, and shared triage.

Start a workspace