Open Source Apache 2.0

Trustabl Agent Analyzer

Static analysis for reliable, safe, and production-ready AI agents.
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Trusted by forward-deployed AI engineers & platform teams

brew install trustabl/tap/trustabl
scoop bucket add trustabl https://github.com/trustabl/scoop-bucket
scoop install trustabl
docker run --rm -v "$PWD:/repo" ghcr.io/trustabl/trustabl:latest scan /repo
THE AGENT RELIABILITY GAP

Your agents work in demos. They break in production.

Most agent code is “vibe coded” — tools with missing schemas, subagents granted dangerous permissions, shell access without guardrails, and no traceability between agents and capabilities.
Trustabl Agent Analyzer brings deterministic, SDK-aware static analysis to the agent layer - the missing foundation for Trust as Code.
4
Major SDKs supported
Claude • OpenAI • Google ADK • MCP
0
Runtime required
Pure static • Single binary • Offline
3
Output formats
Human • JSON • SARIF 2.1
100%
Deterministic
Byte-stable scans for reliable CI
WHAT MAKES IT DIFFERENT

Purpose-built for agentic systems

SDK-Aware Analysis
Understands the specific idioms of Claude Agent SDK, OpenAI Agents SDK, Google ADK, and MCP. Rules only apply where they make sense.
Full Agent Graph Modeling
Discovers tools, agents, subagents, skills, slash commands, and the relationships between them — not just isolated functions.
Actionable Findings
Every issue includes a clear explanation, suggested remediation, confidence score, and exact code location. No vague warnings.
Per-Tool Readiness Scores
Get a production readiness score for every tool definition. Overall score is the minimum across your inventory — surfaces the weakest links.
CI-Native & Deterministic
Byte-stable output, SARIF support, and clear exit codes (0/1/2). Perfect for GitHub Actions, pre-commit hooks, and policy gates.
Single Binary. Zero Dependencies.
No daemon, no server, no cloud. Install via Homebrew, Scoop, Docker, or Go. Runs fully offline after initial rule cache.
HOW IT WORKS

Four steps. Minutes, not days.

01
Scan your repo
Point the analyzer at any agent codebase. It reads your tool definitions, schemas, and implementation files.
02
Analyze findings
Static rules run across every tool, checking for validation gaps, missing retry logic, observability holes, and guardrail issues.
03
Generate report
Get a prioritized report with a Production Readiness Score, severity-ranked findings, and SARIF/JSON/human-readable output.
04
Improve & harden
Use findings to guide manual fixes today. Free automated remediation via VS Code, Cursor, and Skill.md is coming soon.
QUICKSTART

Up and running in seconds

brew install trustabl/tap/trustabl
scoop bucket add trustabl https://github.com/trustabl/scoop-bucket
scoop install trustabl
docker run --rm -v "$PWD:/repo" ghcr.io/trustabl/trustabl:latest scan /repo
Scan
$
trustabl scan ./path/to/agent-repo
# local repo
$
trustabl scan https://github.com/org/repo
# remote repo
$
trustabl scan ./repo --format json
# JSON output
$
trustabl rules pull
# update rules
PRODUCT ROADMAP

Starting with open source. Growing into a full platform.

Trustabl Agent Analyzer is the trustworthy foundation. We're shipping production hardening capabilities throughout 2026.
Now
Trustabl Agent Analyzer
OPEN SOURCE
Static analysis, rule-based detection, scoring, SARIF/JSON/human output, GitHub Action ready. Available today on GitHub.
Jun 2026
Auto-Fix + OpenShell Features
COMING SOON
Automated remediation via VS Code/Cursor extension and Skill.md — auto-fix safe issues, review higher-risk changes before committing. Full OpenShell risk surface analysis & hardening.
Q3 2026
Auto-Enrich
LLM-powered enrichment of findings with deeper context, examples, and custom policy alignment.
WHY OPEN SOURCE

Why we're shipping open source first

01
Trust through transparency
Every rule is auditable, forkable, and improvable by the community. No black boxes — see exactly what we check and why.
02
Set the standard early
Establish the de-facto standard for agent reliability analysis before adding paid layers. The community shapes the foundation.
03
No gatekeeping
Every AI engineer and platform team can start hardening agents immediately. Reliability tooling shouldn't be locked behind a paywall.

Ready to make your agents production-grade?

Start with Trustabl Agent Analyzer today. The rest of the platform is coming soon.
Questions? Reach out on GitHub Discussions or join our waitlist for early platform access.
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