DeepSeek Harness 可编辑设计系统:AI 生成、可视化编辑、模板市场与 PPT|Native Design & PPT Studio for DeepSeek Harness.
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Updated
Nov 11, 2026 - JavaScript
DeepSeek Harness 可编辑设计系统:AI 生成、可视化编辑、模板市场与 PPT|Native Design & PPT Studio for DeepSeek Harness.
Jev DSH 决策引擎|面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness,通过 iPolloWork 支持 OpenCode、Codex Harness。
iPollo Onto · 业务本体 — 轻量、AI 原生的业务数据底座。独立运行,连接表格、关系与文档;作为 iPolloWork 插件使用。
Audit GPT-6.1 Sol API requests for endpoint, tool, reasoning, residency, context and token-cost compatibility before migration.
Audit AI-assisted web research with claim-level source mapping, official task links, freshness checks, and prioritized verification routes.
Evaluate Claude Sonnet model migrations with paired workload evidence, critical quality gates, normalized token costs, compatibility checks, and reversible rollout plans.
Community directory for iPolloWork plugins discovered through the ipollowork-plugin topic. · iPolloWork 插件社区目录
Offline OpenTelemetry trace triage for AI-agent errors, latency, tool activity and broken parent links, packaged for iPolloWork.
Least-privilege sandbox reviews for local coding agents: map filesystem, network, credentials and session lifecycle without inventing unsupported controls.
Audit synthetic agent-training tasks for environment feasibility, verifier quality, evidence gaps, and batch coverage.
Evidence-led code-review handoffs for GitHub Copilot and agent-assisted changes, packaged as an iPolloWork Skill.
Evidence-led model rollout cards for GitHub Copilot, packaged as an iPolloWork Skill.
Offline AI review evidence board for iPolloWork: import JSON, filter findings, export Markdown. 中英双语审查证据看板插件。
Evidence-bound reviews for GitHub Copilot Memory: classify repository facts, flag stale or sensitive entries, and map risks across agentic autofix and Copilot agents.
Trace GitHub Copilot code review effort precedence, flag Default settings that may resolve to Balanced, and produce evidence-bound AI-credit ranges and rollout checks.
Turn AI public-benefit ideas into evidence-labeled plans with measurable outcomes, governance, funding safeguards, and stop conditions. 中英文 iPolloWork Skill。
Review MoE training plans for topology consistency, routing evidence, recovery gaps, and staged GPU allocation gates.
Evidence-bound delta briefs for GitHub Copilot code review, packaged as an iPolloWork Skill.
Review agent-generated security-fix pull requests with alert traceability, CodeQL and behavioral evidence, scope-risk gates, and human-owned merge decisions.
Turn AI-assisted fuzzing crash artifacts into evidence-preserving duplicate clusters, reproduction states, and validation handoffs.
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