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Task Flow / Execution Graph plugin for DeepSeek Harness (DSH): visualize a single task's full execution — turns, LLM steps, tools, skills, subagents, retries, parallel branches — as an interactive DAG with live updates and trajectory linkage.
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Work Continuity for DSH — goal/decisions/checkpoints/next-steps as explicit WorkState, decoupled from generic memory
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Token usage dashboard for DeepSeek Harness: cache, context, efficiency, per-step details, and cross-session comparison
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dsh-experience-flywheel · DSH 经验飞轮插件 — agent cross-session experience memory + dual-acceptance gates (auto query/inject via agent/pre-step middleware; exit-1 gate scripts)
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DSH Web plugin: collapse consecutive tool-use and thinking steps between messages into a single bracketed, expandable item
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First-run health check for DeepSeek Harness (dsh): verifies Node/pnpm/dsh toolchain, profile, API key, workspace and registry config, then prints actionable next steps. Zero runtime dependencies, read-only. CLI + agent-callable quickstart tool.
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DeepSeek Harness plugin: the agent publishes a project plan (steps) and a project framework (architecture graph); the browser renders the steps in a right-hand panel and the framework as a downloadable diagram in the center view.
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Embedded yiTrace plugin for DeepSeek Harness turns, model steps, and tool calls
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Independent-model advisory review for DeepSeek Harness: after each tool step, a reviewer model audits the agent's operations and injects concerns/guidance into the next step.
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Git-backed long-term memory for DeepSeek Harness: a local .mem git repo (single main branch, immutable entries, structured commit messages) with mem_search / mem_read / mem_write / mem_delete / mem_replace tools and fully automatic legacy migration (no CLI needed; the CLI remains for explicit control), auto-managed by the root agent with zero manual steps.
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DSH 插件安检机 — install-time static security auditor for DeepSeek Harness plugin bundles. Zero dependencies, zero install scripts, zero build step.
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DSH web plugin: two-step inline archive on workspace sidebar rows — one click arms a red confirm, the second archives; archive is no longer buried in the ⋮ menu. · 工作区侧边栏行内两击归档:点一次变红确认,再点即归档,归档不再藏在 ⋮ 菜单里。
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Hot-switch agent presets (working modes) inside a running DSH session: mode changes are armed immediately and applied at the next step boundary through agentPresets.recompose, via the /mode slash command.
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Dual-model routing policy: premium plans and rescues, local model implements ordinary steps
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Pre-step skill router for DeepSeek Harness: rule-first task-to-skill matching that pours matched skill bodies only on high-confidence hits and stays silent otherwise. Companion to skill-bartender.
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A configurable DeepSeek Harness host plugin that silently appends route-specific system-prompt guidance for GPT and DeepSeek steps.
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Plug-and-play proteomics analysis bundle for DeepSeek Harness: auto-managed R 4.4 runtime, step-wise traceable pipeline (normalize / PCA / batch / DEA / enrichment / GSEA), cached GO-KEGG annotation backgrounds.
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Token usage analytics tab for the dsh web GUI: whole-log projections plus a per-turn/per-step breakdown
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Fail-closed per-turn step, tool-call, and provider-token budgets for DeepSeek Harness
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Ponytail for DSH — the lazy senior dev. Live intensity switching (off/lite/full/ultra) with a toggle in the composer, injecting a minimal-code ruleset before every step to cut token usage.
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DSH plugin: view OBJ/STL/STEP models in the web UI and translate them into a standardized, LLM-readable JSON
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DSH plugin: per-step timestamped API usage timeline (usageTimeline projection) + peak/off-peak cost readout for DeepSeek V4 Pro
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Per-turn, per-step LLM cost metering for DeepSeek Harness: a costUsage session projection, a cost line under each message, and an LLM+web price auto-maintenance tool.
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DeepSeek Harness 原生插件:让纯文本模型(如 DeepSeek)经 agent/pre-step 劫持 + resolveModelInfo 包装自动识别上传图片(qwen-vl),使纯文本对话也能“看见”图片。