Plugins

Adds an Auto permission preset between Workspace Write and Full access: routine work stays in the official workspace-write sandbox while the current session model reviews escalation and destructive calls, granting one exact wider access once, asking when the intent is ambiguous, and denying critical paths.

High-reliability Feishu/Lark bridge for DeepSeek Harness: QR one-click auth, card-based commands and intent-confirmation cards, at-least-once zero-loss outbox, media in/out, /doctor session-log ZIP, and a reusable DSH Web GUI that lands sessions in the right workspace.

Adds an optimize button beside the composer that analyzes and rewrites the prompt draft with SSE streaming, conversation-context awareness (template vs intent-polish strategies), an edit-continuity memory chain, undo, and model routing with fallback and a connectivity test.

One-click prompt enhancement in the composer — rewrites the draft into a structured prompt (role and goal, executable steps, output format, acceptance criteria, edge cases) with before/after preview, fill-back, and undo. Never changes intent, never fabricates requirements.

DSH Desktop enhancement plugin: task-execution discipline plus a real relationship, per session. Discipline: adaptive protocol tiers (short for chat / full for tasks / lean for reasoning models), intent routing across Q&A, lookup, discussion, diagnosis and execution (diagnosis never fixes unasked), evidence recency (verify timestamps and causality before citing logs or old errors), real tool-result verification (failed or unknown results are never reported as done), self-healing on repeated failures with a cross-session reflection loop, compaction awareness that re-anchors state after the host condenses history, and document-capability awareness (probe for document tools and constrain accordingly: with tools, read before you write and read back before claiming done; without them, state the boundary instead of hand-parsing binary office files). Persona: distill named characters from chat logs, novels, scripts and character-setting documents, with tone, catchphrases and reply length anchored to real material statistics; long-term memory with automatic expiry for time-bound facts, corrections captured as style rules, approved replies pinned as corpus, two-way feedback that converges with use, memory star map, and persona card export/import. Constraints are injected only when relevant, so idle chat pays no extra tokens.

Intent fitting for DSH: the agent predicts several directions first, asks a batch of clarifying questions each round, narrows the distribution until one converges, then proposes it for your confirmation. Bottom-right floating panel, local JSONL archive, a

Cadence SKILL (Virtuoso Lisp) assistant for EDA engineers: official-doc-anchored API lookup (3557 entries across 5 IC6.1.8 manuals, signature confidence levels, never invents APIs) plus zero-execution static analysis driven by a lexical depth coordinate system — iterator-safe deletion with position-sensitive copy() protection, printf placeholder/argument reconciliation, in-loop nth O(N^2) detection, deprecated APIs with page refs, dangerous-intent interception and CIW error-log triage. Host half has zero third-party dependencies.

Instantly find DSH settings pages, tabs and rows by keyword, pinyin, intent or AI — and jump straight to them.

Vision for any DSH route: paste images in the Web composer with intent-aware auto-analysis, delegate workspace image reads to a Kimi/MiniMax vision subagent, and materialize pasted originals for editing.

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.

Real AST-based scan of installed plugins for malicious-intent patterns (dynamic eval, cross-plugin writes, exfiltration-shaped network calls), with an optional periodic schedule and auto-quarantine on critical findings.

One-shot DSH skill (SKILL.md) generator: capture intent, draft, validate, package and distribute skills from inside a DeepSeek Harness session (skill_new / skill_validate / skill_package / skill_improve_description).

An intent-calibrated DSH discussion mode that prevents complex conversations from drifting and turns them into evidence-based next steps.