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sandbase-harness

Skill Security Solid
Works inClaude Code
Solid Scanned — metadata only

Eliminates third-party AI runtime risk by keeping agent execution, credentials, and audit trails local.

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

641 starsApache-2.0 (commercial OK)FreeQuick setup

Eliminates third-party AI runtime risk by keeping agent execution, credentials, and audit trails local. Enables compliance-sensitive teams to deploy AI automation without external API dependency or data exposure.

Security-conscious enterprises and regulated industries requiring self-hosted AI agents with full audit trails and credential isolation.

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https://github.com/sandbaseai/sandbase-harness

By sandbaseai

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install sandbaseai/sandbase-harness

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Run security audits locally without data leaving my infrastructure
CostFree

Trust Signals Auto-scanned

Stars641Last updated2026-08-31LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-31 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 641 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 641 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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