@effaf/dsh-plugin-devkit
DSH Plugin DevKit: runtime observation kernel, isolated debug boot, host contract tests, slot preview
304 results
DSH Plugin DevKit: runtime observation kernel, isolated debug boot, host contract tests, slot preview
DSH plugin: shows the DeepSeek account balance at the bottom of the sidebar, with a configuration card on the Plugins page.
DeepSeek Harness tools: drive Obscura headless browser (fetch/status/MCP hint) from WSL.
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (append-only profile-patch fragments, approval-gated writes with automatic backups), a
Background jobs panel for dsh-TUI: /jobs lists, watches, inspects and cancels background jobs (bash, subagent, …) via the ctx.jobs registry.
Replay real DeepSeek Harness turns against Standard, Minimal, Anchored, or plugin candidates with frozen request-surface evidence
DSH-Plugin: minimal infrastructure entry — infra_status / infra_bootstrap tools that probe the mounted infra stack (memory, observability, search, skills) and report readiness.
DeepSeek Harness tools for evidence-backed user growth, customer acquisition, AARRR funnels, retention, unit economics and MRR.
RALPH cognitive-loop plugin for DeepSeek Harness: Reflect → Assess → Learn → Plan → Handle autonomous code-generation and error-repair state machine with a hard cycle cap and event-sourced observability.
Litefuse observability for DeepSeek Harness: every user turn becomes one agent trace with per-call generations, tool spans, and subagent subtrees
Request image optimization, intelligent retention, and observability for DeepSeek Harness (DSH)
Local JSONL run traces and a live viewer for DeepSeek Harness sessions
DSH-Plugin: structural observability layer — real tool/skill usage recording (tools/result), skill-catalog audit, and a watchdog with health/error events. No model self-reporting.
Native DeepSeek Harness tools for an Obsidian wiki vault: wiki_query, wiki_write, and wiki_lint implement the mechanical core (path routing, delta tracking, index/log bookkeeping, health checks) of the wiki skill suite.
A project memory for your DeepSeek Harness agent — constrain / observe / remember / verify, built on DSH native primitives.
Minimal-anchored agent preset for DeepSeek Harness: first request keeps the real Minimal tool pair, promotion unlocks the full Standard catalog with a one-shot background-jobs notice
RAG 检索增强生成:向量数据库、嵌入、语义搜索、减少幻觉、来源引用。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
DSH bundle (组合包): read-only project knowledge graph — modules, tech stack, architecture layers, file-level import graphs, observations. Provides /kgraph command, project_kgraph model tool and a browser UI panel.
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
DSH bundle:注册 paper 工具(论文解析/工作台状态),工作流知识见 skills/paper-lab(由 /paper-init 装入工作区 .agents/skills/)
DeepSeek Harness tools for external opportunity discovery, unmet-need research, pain-point signals, opportunity mapping and validation experiments.