@nanmicoder/dsh-auto-mode
Sandbox-first automatic permission policy for DeepSeek Harness
66 results
Sandbox-first automatic permission policy for DeepSeek Harness
Unified capability management for the DeepSeek Harness: catalog (ctx.capability) + meta_search/meta_invoke + Resident/On-demand/Disabled projection policy + 能力管理 settings tab, in one installable bundle (server + browser).
DSH (DeepSeek Harness) plugin packaging of the Project Blueprint skill — one-command AI coding conventions (AGENTS.md, docs skeleton, CI/CD, git rules, testing policy) with an autonomous discovery engine (7 languages, 15 frameworks, 70+ components, web fallback).
Closed-loop trajectory policy plane for DeepSeek Harness: task episodes, revision-aware verification debt, benchmark-aware stop control, adaptive effort, and scoped capability control.
RMB/USD token-billing plugin for DSH web: official-policy auto pricing (incl. peak/off-peak), full coding-plan billing by provider routing, Settings→Cost summary page, per-message ledger, account balance, locale-driven currency display
Settings UI for DeepSeek Harness (DSH) to edit each model provider's request retryPolicy — mode (normal/always), maxRetries, retryableCodes and exponential-backoff parameters — written to settings.yaml and applied by dsh-llm-retry. 模型重试策略设置:在设置面板中可视化编辑各模型提供方的 API 请求失败重试策略。
Durable bounded context and recall policy for the stock DeepSeek Harness agent loop
See what your AI agent protected: session security receipts, visible data provenance, task boundaries, and tool identity checks for DeepSeek Harness.
Whitelist / blacklist / any-error retry policy for DeepSeek Harness, driving DSH's built-in LLM request retry mechanism.
Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles policy, audit, usage, and token economics.
Agentic Control Plane for DeepSeek Harness — check every tool call against your policies before it runs, and keep a durable record of what was allowed and why.
DSH Windows default shell policy plugin: probe git-bash/MSYS2, switch bash/pwsh from the plugin config card, register the bash tool and trim the prompt tool surface. DSH Windows 默认 Shell 策略插件:探测 git-bash,配置面板切换 bash/pwsh,动态注册 bash 工具并裁剪提示词工具面
Thin routing policy for DeepSeek Harness: keyword routing, allowlisted model switching, and isolated image generation. / DeepSeek Harness 薄路由策略:关键词路由、白名单模型切换和隔离生图。
Desktop computer use for DeepSeek Harness (DSH): macOS app listing, accessibility-tree window capture, screenshots, and synthesized input — the seam, the local Swift-daemon provider, the computer_use_* tools, the approval policy, and a standalone MCP server in one installable plugin package
Allow, ask, or deny DeepSeek Harness tool calls before execution
Version management for the dsh Web GUI settings panel: inspect the installed @deepseek-ai/dsh against every npm channel or version line, install or downgrade with one click, roll back instantly from local snapshots, automate the whole cycle with a policy engine (silent auto-update, execution windows, daily checks), and restart the host seamlessly.
Content-addressed, value-redacted policy drift evidence for DeepSeek Harness
让 DeepSeek Harness 自动重试商汤 429/QUOTA 等瞬时网关故障直到任务完成——启动时给所有 llm-pi-ai provider 热注入加固版 retryPolicy,运行中新增的 provider 也会自动补上,再也不用手动发「继续」。
AI approval answerer using the unified ctx.llm route with fail-closed local policy checks
Policy-enforced, evidence-first governed workflows for DeepSeek Harness agents — installable community plugin (governance core + authority provider)
DeepSeek Harness plugin for SecurStack security scans, policy checks, doctor diagnostics, and JSON CLI results.
Codex-inspired planning, evidence, goal, and anti-loop policy plugin for DeepSeek Harness.
Fail-closed DSH compatibility guard for redundant GPT/Codex sandbox escalation arguments
Dangerous-operation policy, canonical output redaction, and security review for DeepSeek Harness.