Plugins

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.

Runtime security gate on the tool pipeline: denies calls naming hosts outside an egress allowlist, redacts credentials from results at the canonical value rather than only the rendered content, and appends every decision to a JSONL audit log; ships in monitor-only mode.

Contract-drafting agent preset: 11-stage lawyer workflow with 5-way parallel AI review, decision gates, and domain packs for general, employment and equity-investment contracts.

Focus board for DeepSeek Harness agents: durable, model-maintained notes in the session workspace that pin the objective, constraints, and decisions across compaction and sessions, with automatic context injection, archive on clear, and an optional web panel.

Track human decisions for related DSH session branches: keep, discard, or follow up with reasons, labels, and external links.

The authority layer for agentic AI, as a DeepSeek Harness plugin. Governs every tool call against your business rules via the TapPass /v1/govern policy decision point.

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.