BOWLUNA/dsh-custom-mode#editor
Custom modes / assistant manager: give each mode its own system prompt in the settings page — a custom prompt that is a plain file the agent loop re-reads before every model step, so an edit applies to the running session on its next step — and start it from the official standard / PTC / minimal / Cordis composition, toggling the plugin rows it mounts one by one (a custom plugin composition per mode), renaming it as you like. Several assistants coexist with their own prompts, so one machine can keep a coding assistant, a chat companion and a roleplay (RP) persona side by side — a multi-agent setup you pick from per new session. Rows left untouched stay byte-identical to the shipped ones, platform conditions included.
$ dsh plugin --profile web add github:bowluna/dsh-custom-mode/tree/main/editorHealth breakdown
10 / 100Score reflects license, community signals, documentation and distribution. It is not a code audit — review the source before installing.
Security
Key metrics
Related
Related plugins
Adds a summonable domain-expert roster that runs as subagents while the parent session keeps the task and final answer.
Per-conversation cost · daily totals · OpenCode Go subscription quota display · budget with usage percentage · official account balance · custom provider balance · balance progress bar · history · peak/off-peak pricing hours display (peak hours UTC 01:00–04:00, 06:00–10:00; from Aug 23, 2026 weekends are billed at off-peak prices all day, shown as “Weekend — all off-peak”) · pre-switch popup & system-notification alerts for peak/off-peak changes (position / lead time / alert type configurable) ·
Adds /review, /review-status, and /review-cancel to spawn an independent native subagent that inspects a chosen Git scope (base branch, uncommitted changes, a commit, or custom instructions) and returns a findings report in the current conversation, with English or Chinese output from the host locale.
Adds /pua to steer the agent to try another approach and verify results before claiming completion, with 15 company styles, persona modes, global and per-conversation settings, and an optional loop that continues until a verification command passes, the iteration limit is reached, or the user cancels.
Cross-agent, local-first persistent memory plugin for DeepSeek Harness (DSH), powered by Mnemon. It shares long-term memory across Mnemon-enabled agents and adds runtime memory, searchable project documents, semantic recall, knowledge graph, and a Sidebar UI.
White-box AGI architecture exploration: metacognition (self-cognition loop), continual learning (knowledge flywheel), world model (condition space, spatiotemporal memory graph), self-improvement (bootstrap discipline), zero-LLM white-box pipeline, and auditable trust guardrails.