InterPSS Agentic Power System Simulation Agent for AC load flow, DC-based contingency analysis, and NERC TPL style reporting. Integrated into Deepseek Harness as a DSH Plugin, one can run power system simulations in the traditional way in a local sandbox or in the native AI env.
You can use this plugin to complete the writing of technical documents, including development briefs, user manuals, reports/summary materials, and interface/API documentation, while reducing traces of AIGC.
Audit citation sources in AI responses – extract URLs from the reply, score and rank them by threat level, and output a detailed report. Domains on your blocklist will be genuinely blocked – web tools such as web_search and web_fetch will directly refuse to access them. The blocklist is fully maintained by you.
/trajectory-teacher: DSH plugin that turns an agent's execution trajectory into a structured post-mortem report (decisions / pitfalls / reusable patterns)
Map-reduce council of subagents for the DeepSeek Harness: one task fans out to independent members, their findings are deduplicated, verified by a separate panel, and reduced to a quorum report
Auditable mathematical proving for DeepSeek Harness: a local stdio MCP server (23 tools), a bundled workflow skill, and the /prove and /audit-proof commands. proven / refuted / inconclusive are never conflated, and unproven steps are reported, not hidden.
Zero-dependency incident toolkit for long-running agent hosts: one entry point for stuck services, frozen UIs, rollbacks and data loss; emits a hand-off-ready on-site report. Read-only by default. | 零依赖急救台：起不来 / 假死 / 要撤销改动 / 数据被删四类现场压成一个入口，产出可整段交出去的体检报告
Run an agent unattended for hours and get a morning brief that is an audit, not a summary. Signs a manifest before the work, prices every step at the execution boundary, rolls back a failed verification, and reports what the gate refused. DSH plugin + skill, zero dependencies.
