dsh-prompt-for-me
为 DeepSeek Harness 自动生成下一条消息的幽灵文本建议，并支持手动生成后直接填充。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:ChuanTianML/prompt-for-me#d37a1a54a54d82e80b933787f20a55142af10da3Prompt For Me 以 dsh-prompt-for-me 发布，当前版本为 0.6.1。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
Prompt for Me prepares your next message in the DeepSeek Harness composer. After the agent replies, you can accept a suggestion, edit it, or generate another. The plugin helps you draft; you decide when to send.
1. Your next message, ready after the reply
When the composer is idle, a suggestion appears in light gray. It is not part of your draft yet, and nothing is sent automatically.
2. Accept it, then make it yours
Press Tab or click ✓ to turn the suggestion into editable text. Here, we add “Keep it under eight words.” You still decide when to send.
3. Want another direction? Click the sparkles
Click ✦, immediately left of Send, or use the default shortcut ⌘⇧Space / Ctrl+Shift+Space. A fresh next message goes straight into the draft for you to review or edit.
A manually generated follow-up is filled into the composer and remains unsent
Real product screenshots using a fictional project and demo conversations. Private session lists, workspace information, and runtime statistics are outside the captured area.
Mod+Shift+Space shortcut. An explicit Trigger always requests a fresh suggestion and writes it directly into the draft, even while automatic generation is in flight.| Situation | Result |
|---|---|
| A turn completes and the composer is eligible | One automatic suggestion appears outside the draft. |
| Tab, Right Arrow, or the check control | The visible suggestion becomes one undoable draft edit. |
| Enter while only a ghost is visible | Nothing is accepted or sent. |
| Start typing | The ghost hides; your text wins. |
| Clear the typed text | The hidden suggestion can reappear without another model call. |
| Escape | The visible suggestion is dismissed. |
Sparkles button or Mod+Shift+Space | A fresh suggestion is generated and directly fills or replaces the draft. |
| Edit and Enter | Only the final text is submitted; adoption becomes positive feedback only now. |
The release tarball is the simplest option because it contains prebuilt Host and Client artifacts:
dsh plugin --profile web add https://github.com/ChuanTianML/prompt-for-me/releases/download/v0.6.1/dsh-prompt-for-me-0.6.1.tgz
Restart dsh web after installation.
You may also install a pinned Git tag:
dsh plugin --profile web add github:ChuanTianML/prompt-for-me#v0.6.1
pnpm 10 may ask you to allow the package's prepare script for a Git install. Add dsh-prompt-for-me: true under allowBuilds in the Web profile's pnpm-workspace.yaml, then run the command again. The script only copies the checked-out Host files and wraps the checked-out Client factory; it performs no downloads.
Update or remove it with:
dsh plugin --profile web update dsh-prompt-for-me
dsh plugin --profile web remove dsh-prompt-for-me
Current DeepSeek Harness builds provide the native inline suggestion API. If that API is absent but completed-turn projection is available, the plugin falls back to an explicit preview card with Use and dismiss controls. The manual Sparkles workflow remains direct-fill in either presentation.
Open Settings → Plugins → Configurable, then expand Prompt for Me. The card follows Harness settings structure, tokens, spacing, and staged Save/Discard behavior. Saved values live in the shared Host user-settings document and take effect immediately without a restart.
You can continue editing during a save. These newer edits remain unsaved until you click Save again.
Mod+Shift+Space. Select the current shortcut and press a new Command/Ctrl or Alt combination, or disable the shortcut. Harness still owns ghost acceptance, which defaults to Tab.The UI deliberately omits context-range controls, quick/personalized modes, a personalization reset, token limits, and timeouts. The plugin owns those product decisions instead of asking users to tune suggestion quality.
The plugin calls ctx.llm on the Harness Host. By default it reuses the current session's provider and model, falling back to the Harness default selection. The provider therefore uses the API key already configured in DeepSeek Harness. The browser never receives or reads that key, and this plugin has no separate key.
Most users can pin an auxiliary model from the Web UI advanced settings. Deployment maintainers may also set both provider and model as a composition base in cordis.patch.yml or an overriding profile patch; a saved Web UI choice takes precedence:
- id: prompt-for-me
name: dsh-prompt-for-me
config:
provider: deepseek-official
model: deepseek-chat
On each automatic or explicit generation request, the Host may send these bounded text fields to the selected model provider:
The current draft and recent turns determine the task, intent, and message content. Current-session feedback adjusts the immediate wording. Cross-session memory may influence only durable style, detail, and workflow preferences. Manual prompts and submitted suggestion edits carry more weight than exact accepts; rejected suggestions are weak negative evidence. Editing a suggestion and triggering again rejects the original suggestion but does not treat the unsubmitted edit as a positive preference.
Harness records injected workspace instructions, runtime context, and skill catalogs in user-role events. The plugin excludes these non-human sources from conversation turns and preference memory. If both the draft and direct-human conversation are empty, generation stops before the model call.
Common API-key, token, password, and Bearer-token patterns are replaced with [REDACTED_SECRET] before the model call. Attachments, tool arguments, files, credentials, and binary blocks are not collected. The plugin has no analytics endpoint and sends data only to the model route already selected in Harness.
Interaction records are stored only in this browser's localStorage under dsh.prompt-for-me.outcomes.v2. Each record contains its session ID, final action, origin, and the relevant original/final text. Merely seeing or adopting ghost text is not positive feedback; it becomes evidence only after submission. Version 1 records migrate automatically and remain untouched. The plugin does not expose a reset control that asks users to manage this history.
DeepSeek Harness 0.1.0-rc.6 does not expose downstream registration for custom durable session-event types. For that reason, the standalone plugin does not append its auxiliary model request or outcomes to the Harness session log; doing so would make persisted sessions unreadable to the stock runtime. This is the main difference from the experimental in-tree implementation and will be revisited when a public event-registration API exists.
The generation RPC uses NDJSON. Each complete candidate is validated before it reaches either the transient suggestion surface or the draft; partial model tokens and incomplete JSON never enter the composer. Background failures stay quiet. Explicit failures remain visible on the Sparkles control.
The auxiliary request always uses reasoning effort off. The model receives one system instruction plus one JSON user message with current, currentSessionFeedback, userPreferenceMemory, and currentCycleSkipped. It receives no tool schemas or attachments.
The Host retains the latest 50 privacy-safe performance records in memory and logs each record as prompt-for-me metrics. Records contain model route, text byte/item counts, history/input preparation time, first model chunk/reasoning/text times, suggestion arrival time, total model/request time, and provider token usage. They contain no prompt, candidate, or outcome text. Query the current process with:
curl -sS -X POST -H 'content-type: application/json' \
-d '{"method":"metrics"}' \
http://127.0.0.1:3080/dsh-prompt-for-me/rpc
The Web UI exposes only the three everyday choices above. The table below documents cordis.patch.yml composition controls for deployment maintainers; ordinary users are not expected to tune the stable generation limits:
| Field | Default | Meaning |
|---|---|---|
automatic | true | Offer a non-draft suggestion after eligible completed turns. |
maxCandidateBytes | 4096 | UTF-8 limit per suggestion. |
maxDraftBytes | 32768 | UTF-8 limit for a draft or edited outcome. |
maxCurrentCycleSkipped | 10 | Skipped suggestions retained as hard negative context for the next Trigger. |
maxCurrentCycleSkippedBytes | 16384 | Shared JSON budget for suggestions skipped during the current cycle. |
maxCurrentTurns | 3 | Most recent current-session turns retained. |
maxCurrentContextBytes | 16384 | JSON budget for the retained turns. |
maxCurrentFeedbackBytes | 4096 | JSON budget for current-session suggestion feedback. |
maxPreferenceMemoryBytes | 8192 | JSON budget for cross-session preference memory. |
maxHistorySessions | 20 | Earlier sessions inspected. |
maxManualPrompts | 8 | Earlier manual prompts retained. |
maxEditedSuggestions | 6 | Edited suggestion pairs retained per feedback tier. |
maxAcceptedExact | 6 | Exact accepts retained per feedback tier. |
maxRejectedSuggestions | 4 | Weak rejection signals retained per feedback tier. |
maxLocalOutcomes |
Requires Node.js 22.19 or newer.
npm run check
The command rebuilds the static Host/Client artifacts, runs the Node and React UI test suites, and verifies the npm package contents.
The React settings tests cover both source and built clients; see UI test setup.
MIT
50| Browser-local interaction records retained. |
maxLocalOutcomesBytes | 131072 | Shared JSON budget for browser-local records and their RPC copy. |
maxOutputTokens | 2048 | Auxiliary model output budget. |
timeoutMs | 30000 | Suggestion request timeout, including historical session reads and the auxiliary model call. |
shortcut | Mod+Shift+Space | Portable Trigger, or disabled. |