플러그인

Pre-execution safety valve for DSH that judges with TypeSafe Jev: it hooks tools/pre-execute and decides every bash/pwsh call by first applying offline static rules, then by asking the Jev model — the System One model from TypeSafe, which returns a structured decision instead of prose — one yes-no question ("will this command irreversibly delete or overwrite real data?"), turning the answer into allow, revise, block or escalate; revise hands the model a safer rewrite, escalate offers a one-shot human token; exhausted credit or a missing API key degrades loudly instead of failing silent, and a missing key is requested in the conversation itself (`guard key set`, read from stdin); every verdict is appended to a shared audit log and the text people read is bilingual zh-CN/en.

Automatic model-tier routing for DeepSeek Harness: one user instruction enters, one tier decision comes out — complex intent is planned on the strong tier and implemented on the cheap tier, simple intent stays cheap throughout, with a deterministic guard and a TTL escalation fallback.

Summarises the case evidence, diagnosis, repair procedure, parts list and cost-option comparison for a motor into a Markdown repair recommendation report with data provenance.

Group-chat multi-agent orchestration console for DSH: autonomous decision-making, task dispatch, verification and iterative optimization for long tasks; bundles its own backend, installs with `dsh plugin add`.

Keeps long DSH sessions alive when a model channel starts failing: daruma takes over after the in-box retry gives up, trips a self-healing circuit breaker on repeated 429/5xx or a terminal error, and moves the next request to another channel in your chain. A panel beside the composer picks the backup by hand, switches show up as rows in the conversation, and every decision lands in a durable JSONL audit log.

Decision log for DeepSeek Harness: record key decisions (chosen option + why) into a versionable DECISIONS.md via decision_log / decision_list / decision_audit tools, and auto-inject the summary into future sessions so decisions stay traceable and are never re-litigated.

Forces periodic Engram memory recall and save reminders for DeepSeek Harness agents: injects a dynamic system-prompt context that reminds the model to load prior session memory at the start of a session, and to save new decisions/bugfixes/learnings every

Fail-closed network recovery, recommended answers, and safe unattended continuation for DeepSeek Harness.

도구 파이프라인 실행 시 보안 게이트: egress 허용 목록 밖 호스트를 지정한 호출을 거부하고, 결과에서 자격 증명을 렌더링된 내용이 아니라 정규 값 단계에서 마스킹하며, 모든 판단을 JSONL 감사 로그에 추가합니다. 기본은 모니터 전용 모드.

계약서 초안 작성 에이전트 프리셋: 11단계 변호사 워크플로, 5방향 병렬 AI 리뷰, 의사결정 게이트, 일반·고용·지분 투자 계약용 도메인 팩.

DeepSeek Harness 에이전트용 포커스 보드: 세션 워크스페이스에 모델이 유지 관리하는 지속적 노트로 목표, 제약, 결정을 압축과 세션을 넘어 고정하며, 자동 컨텍스트 주입, 초기화 시 아카이브, 선택적 웹 패널을 제공합니다.

관련된 DSH 세션 브랜치에 대한 사람의 결정(유지, 폐기 또는 사유·레이블·외부 링크를 붙인 후속 조치)을 추적합니다.

에이전틱 AI를 위한 권한 레이어, DeepSeek Harness 플러그인 형태로 제공. TapPass /v1/govern 정책 결정 지점을 통해 모든 도구 호출을 비즈니스 규칙에 따라 통제

Typed System One decision service for DeepSeek Harness plugins, with an agent tool for yes/no checks, classification, and scoring.

三重一大决策台账核对（按前置研究、会议审议与决议记录核对程序留痕，仅提示差异，不作出定性结论）

Compiles a rough need into a versioned task book (goal / context / constraints / acceptance / decisions / open gaps, all numbered) and hands it to any AI window losslessly: the receiver must pass a read-back handshake — restate, list gaps, declare READY — before work starts; /answer closes gaps with an automatic version bump, /forge-list tracks which window holds which version.

Turns a DSH session into a self-contained interactive HTML mind map of its topics, conclusions, decisions, todos and open questions, and reports what changed since the previous run.

Connects dsh to the GreatArrow.ai MCP server over Streamable HTTP, so the agent can search and save workspace memories, tasks and decisions shared with your other AI clients; a config-only bundle that reads the token from great-arrow.token in the dsh home, never from the environment.

One-click TokenDance gateway access for DeepSeek Harness: OAuth sign-in stores the API key, a live model catalog with per-model visibility, and agent tools for chat, image generation, video generation and typed decisions.

Drive a browser from one natural-language goal: a decision service picks the next operation and target from an indexed element table, so a DSH session spends one tool call instead of one turn per click.

Local non-generative decision layer for DeepSeek Harness: the phocinae_ask / phocinae_gate tools backed by a Phocinae-Largha-150M-v1 server, plus a fail-closed approval gate on tools/pre-execute with a calibrated-confidence escalation signal

A structured decision layer for the DeepSeek Harness agent loop: a danger-call gate, output self-check, tool narrowing, and loop guard backed by a pluggable adjudication model.

A `jev` tool that asks Jev (TypeSafe System One) typed yes/no, choice and score questions about one block of text and returns probabilities and confidence, with the provider and API key configured per user in Settings, a judgment ledger with its spend, and daily call and token caps.

A continuation of simon300000/dsh-auto: the Auto Approve permission preset for the DSH Web UI reviews each approval with one single-shot model call instead of a reviewer subagent, auto-approves only the actions that pass and hands the rest to human approval, and remembers confirmed decisions as project- and global-scope allow/deny lists, with an approval timeline in the right sidebar.