medxpert-offline-taskbox@2.4.9
VERIFIEDPublisher claims: "AI API costs burning you? Run LLMs on low-spec machines — dispatch tasks by day, local models finish them for free at night, even offline. MedXpert Cross-Machine Taskbox: WorkBuddy x DSH (DeepSeek Harness) x local Ollama three-tier collaboration. Batch/repeat/document/sensitive tasks cost zero cloud credits; only complex reasoning goes to the cloud. L1-L5 tiered routing (code-level: add auto-tags + route query), auto-retry on failure, sync-package merge across two machines, zombie-proof resume. Pure Python, zero dependencies, so an old laptop works fine as an execution node. AI 任务太烧钱?低配电脑也能跑大模型——白天派活,晚上回家让本地模型免费跑完,断网也不停。MedXpert 跨机任务箱:WorkBuddy×DSH(DeepSeek Harness)×本地 Ollama 三级协同,批量/重复/文档/敏感任务零云端消耗,复杂推理才上云端。L1-L5 分级路由已代码级实现(add 自动打标 + route 查询)、失败自动重试、同步包双机合并、防僵尸续跑,纯 Python 零依赖即下即用,旧电脑也能当执行节点。模型 API 涨价?跟它无关。省积分、断网续跑、离线任务队列、任务路由与成本控制都找它。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-11-06 and scored it 80/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.