Plugins

E/S de design pour agents de codage : génération d'UI contrôlable via des déclarations (spec/domaine/craft/design/composants/template) et des contrats (skill/évaluateur). Pour l'UI produit — console, tableau de bord, ops d'agents, applications CJK-first.

合同条款立场台账核对（按立场、风险等级与退让底线核对台账自洽，仅提示差异，不作出定性结论）

Live usage gauge injected into the system prompt every turn: session tokens and estimated spend, a next-turn estimate, and two predictions the model can act on — which step fills the context window and which step burns the budget. /qm panels, zero-config by default, optional price table, and it publishes a summary.json budget contract sibling plugins read.

Elaborates a one-line seed into a concrete, executable prompt behind a semantic fidelity gate (five violation classes, targeted repair, unconditional re-audit); already-precise instructions pass through near-unchanged; bare signals like a number infer their pending anchor from the conversation or refuse to guess; short directives expand inside a degree contract; conversational messages get typo-only touch-up; one-click revert with version history.

Channel gateway for DeepSeek Harness: normalize provider traffic into one message contract, announce inbound messages as one typed event, authorize at the transport boundary.

Channel gateway for DeepSeek Harness: normalize provider traffic into one message contract, announce inbound messages as one typed event, authorize at the transport boundary.

Infix rerun for DeepSeek Harness: re-run any earlier turn in place - the reply is regenerated from the same prompt while every later turn survives, so subsequent model calls read A B C1 D E F G. Implemented with the official surface-replace contract plus

Legal knowledge-base workbench: hybrid keyword/statistical/vector retrieval over local statute .doc/.docx corpora, faceted filtering, charge-name and civil-cause trees, a document editor, and four AI tools (citation check, contract review, AI analysis, AI drafting).

Lightweight graph orchestration for DeepSeek Harness: scoped agent nodes, handoff contracts, bounded rework, and a layered global ledger.

OpenCode Go provider that verifies a model against the gateway rather than treating a recommendation as a measurement: the models.dev protocol suggestion is probed before it is used, reasoning levels follow a measured contract, and requests run through an ordered protocol fallback chain. Context window, max output and image-input numbers are declared by a runtime-refreshed models.dev layer rather than probed, with operator overrides above both. Several OpenCode Go credentials can be stored and switched from the settings page.

Contract check for DeepSeek Harness plugins: statically verifies that registered tools' output.render() returns ContentBlock[], and warns when a session event type falls outside the kernel vocabulary. Warn-only. 契约体检插件（不检测恶意）。

Code graph and knowledge base over an embedded FalkorDB: AST symbols, caller/callee tracing, refactor blast radius, affected-test discovery, clone detection, cross-language porting contracts and spec-to-code traceability.

Cross-session knowledge for DeepSeek Harness: ctx.knowledge service + knowledge_* tools, SQLite FTS5 trigram retrieval (CJK substring) with L1 query expansion. V1.11 contract (write/update/search/list/delete + budget + events + error codes).

Keeps DSH agents from forgetting your requirements during long tasks. It saves important conditions and completion evidence locally, brings them back after context compaction or session resume, and stops partial work from being reported as the whole task done.

Model-agnostic visual-inspection pipeline for text-only agents: page-by-page HTML screenshots plus a ready-made vision-subagent briefing contract (gewu_prep), then source-code truth verification of every finding (gewu_locate); validated on mimo-v2.5 & qwen3.7-plus.

合同风险识别器：扫描中文合同的风险条款（违约责任、付款、知识产权、保密、解除、争议解决等），输出分级风险报告与修改建议。

Adversarial code review — parallel finders inspect a diff through separate lenses (correctness, lifecycle, contract, security), then each finding goes to independent verifiers tasked with refuting it, and one refutation drops it.