dsh-jspace-trigger
Run the following command in DeepSeek Harness:
dsh plugin install EricWang1358/dsh-jspace-trigger
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install EricWang1358/dsh-jspace-trigger in your DeepSeek Harness terminal to install; the full source is available at https://github.com/EricWang1358/dsh-jspace-trigger
About this plugin
J-Space Cognition Suite gives agents powerful capabilities such as deep reasoning, cross-file research, and architecture review, but injecting it on every turn wastes tokens, muddles model focus, and dilutes the user's real intent. dsh-jspace-trigger targets exactly this timing problem. Instead of blanket injection or forced system-prompt rewriting, it watches real user messages, runs them through a configurable rule engine (regex, keywords, message length, weighted score, explicit commands), and only when a rule fires does it append a lightweight near-field nudge to the agent inbox suggesting J-Space. When nothing matches, it stays completely silent. A built-in opt-out rule holds the highest priority, so a single phrase like "do not use j-space" overrides every other keyword trigger without exception.
The rule set spans from silent greeting suppression and explicit-command broadcast to loop-capacity nudges for repo-level multi-stage tasks and full deep-reasoning suggestions for architecture reviews or comprehensive research. Each rule independently configures action, pass, modules, matchMode, and excludePatterns for fine-grained control. An observe-only mode records hits without injecting anything, letting you validate rule hit-rates in a live workflow before enabling automatic nudges. A privacy-safe analytics funnel (rule, delivery, toolCalls, jspaceSkillLoaded) reconstructs the full path of every invocation using timestamps and event IDs, storing no user-message text or tool arguments. Skill detection and installation are strictly on-demand: the plugin never downloads J-Space automatically, only reports absence and waits for explicit user confirmation.
This plugin is built for teams who already use J-Space in a DSH workflow and want trigger timing to be auditable, reversible, and silence-capable. It coexists cleanly with Router Standard and Liangshen mode without system-prompt collisions, because it appends a near-field message rather than rewriting any preset persona or tool surface. Zero runtime npm dependencies, pure Node built-ins, and a single cordis.patch.yml to tweak make forking and customizing rules straightforward.
If you keep asking "why is the agent always mentioning J-space when I just said hello" or "why did it skip the perfect moment to suggest deep-reasoning," this is the missing middle layer: a nudge-only, never-rewriting, fully silent-by-default trigger. It does not replace your workflow; it simply makes sure the right tool is on the table at the right moment, and nowhere else.
Use Cases
- Trigger J-Space deep reasoning on demand in DSH workflows instead of blind per-turn injection that wastes tokens
- Auto-suggest loop + capacity mode for cross-file multi-stage repository tasks and switch to full reasoning for complex research
- Validate rule hit rates in observe-only mode before flipping on automatic near-field nudges
Best For
- Teams already using J-Space in DSH who want precise, auditable, and reversible trigger timing
- Developers who need clean coexistence with Router Standard or Liangshen mode without system-prompt collisions
- Users who prefer zero runtime dependencies and can customize rules via a single config file
Related Plugins
A method pack that makes AI coding agents plan against your real baseline, prove completion with fresh evidence, and reduce reworks and unsafe changes.
Turns the DeepSeek Harness session into a captain that builds a durable sub-agent team, splits goals into dependency-aware tasks, and coordinates work via direct messages and a live Web UI.
Gives coding agents design judgment, letting Claude Code, Cursor, and 70+ agents generate and iterate high-quality UI, presentations, and graphics right from the terminal.
Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified, via a compatibility layer that implements Pi's public extension ABI on DSH's native services.