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Visual Tour

These captures show real AgentGuard documentation and deterministic product output. They use repository-provided synthetic fixtures, contain no external agent or model activity, and make no claim about broader production adoption or universal detection quality. See the source and sanitization record for reproduction details and limitations.

Product overview

AgentGuard hosted documentation homepage with product value proposition, navigation, v0.2.2 release, and PyPI installation command

The public AgentGuard documentation puts the local-first evaluation model, current release, package identity, and first installation commands on one screen. The visible navigation leads into the architecture, benchmark, evidence, artifact, and integration guides.

Evaluation dashboard

AgentGuard static evaluation dashboard with eight deterministic records, result counts, scores, and benchmark categories

The generated static report site summarizes six deterministic showcase scenarios, their suite record, and one separate audit-mode incident run. The single safe fixture scores 100 and passes; unsafe fixtures fail through their configured checks. These counts describe this small demo corpus only.

Guard incident detail

Sanitized AgentGuard guard incident detail showing unsafe-command category, audit-only status, critical severity, timing, and bounded evidence summary

This real online guard incident comes from the deterministic showcase_unsafe_command fixture in audit mode. The page shows category, mode, status, severity, timing, and a fixed evidence summary without rendering the raw command payload, environment data, diff, or an absolute path.

Evaluation evidence

AgentGuard guard trends page showing deterministic run, incident, violation, failed-check, safe-pass, category, guard-type, and severity counts

The static trend view aggregates the same generated records. It connects the eight represented records to one sanitized command-guard incident, sixteen failed checks, seven expected unsafe failures, and one safe pass. The showcase metrics separately retain the committed 5/5 unsafe-detection and 1/1 safe-allowance evidence for the six-scenario showcase.

Interpretation boundary

These screenshots demonstrate reporting and evidence presentation, not a perfect security boundary or a statistical effectiveness claim. Local agent execution uses host-user permissions and is not inherently sandboxed. Docker can provide configured containment for Docker-backed evaluations.