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dsh-plannotator

Verified · install-tested on dsh titanwings

✓ Actively maintained 2 contributors Pure TypeScript

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2026-08-25Last push
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What it does

A DSH plan-review plugin for anchored annotations and structured Agent feedback.

✅
Our take
Works — verified, early-stage project

A DSH plan-review plugin for anchored annotations and structured Agent feedback. It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

📝 dsh-plannotator

Review the plan before your coding agent writes the code.

DeepSeek Harness
Plan Review
MIT License


① The plan sounds plausible, but one sentence hides a migration risk?
② You found several independent problems, but the only choices are Approve or Reject?
③ You want every comment to stay attached to the exact text the agent must revise?

✨ Turn a binary plan gate into a precise, multi-comment review.

Select exact plan text, collect precise comments, and return one structured review—without leaving DeepSeek Harness.

Why it exists · Features · Install · How it works

English · 简体中文

DSH Plannotator social preview with Liang Xiaojing reviewing an annotated plan


A real plan review docked beside the DeepSeek Harness conversation

“Change the third step” is vague. A comment attached to the exact sentence
preserves the context the agent needs to revise the plan correctly.

Select exact text → comment on several risks → send one review → approve when ready.


🎯 Why dsh-plannotator

Coding agents are good at producing plans, but a binary Approve / Reject
decision is too coarse for serious work. Architecture migrations, API changes,
security fixes, and rollout plans often need several independent corrections
before implementation begins.

dsh-plannotator turns DSH's native Plan Review into a compact gate plus a
responsive companion panel. On a wide screen, the conversation and review
occupy separate columns, so opening the panel never covers chat text. Collapse
it to a slim edge rail and reopen it without settling the request. Your comments
still travel through DSH's existing response flow as structured Markdown, so the
agent can revise the proposal in plan mode and ask for review again.

This is an unofficial integration inspired by
Plannotator.


🧰 Features

Comment on the exact claim—not “somewhere in the plan”

Drag over text for a precise annotation, or double-click a paragraph, list
item, heading, bold phrase, or code fragment. The review keeps the quote and
comment together within the current plan revision.

Writing a precise annotation in the docked review panel

Review the whole plan in one pass

Collect multiple comments across compatibility, security, rollback, and tests;
add overall feedback; click an annotation in the review panel to return to its
source; then send one coherent review. This keeps the review compact and less
ambiguous than a sequence of detached chat messages.

Three anchored comments and overall feedback in one review

Collapse the review without losing your place

The review panel can shrink to a blue edge rail while the compact composer gate
remains visible. Reopen either control to continue with the same comments and
overall feedback.

The review collapsed to an edge rail while the conversation remains usable

Return actionable feedback to the agent

Send feedback answers the real exit_plan_mode interaction. DSH records the
quoted plan text, each requested change, and the overall feedback in the tool
result and Session Log. The agent remains in plan mode and can immediately
produce a revised proposal.

Ask AI about the plan

Select plan text and choose ✦ Ask AI to stage the excerpt, or just type
into the Ask AI sidebar that sits permanently to the left of the plan
preview. The question travels with the plan text, the quoted
excerpt, and your earlier Q&A to a one-shot subagent of the reviewed session —
a fork that inherits the same model, workspace, and earlier conversation
turns
(the plan itself always rides along verbatim, since it was submitted in
the still-open review turn) — that can inspect the repository with read-only
tools (read, grep, glob, web_search, web_fetch, probed against the
session's actual tool set). The answer renders inline as Markdown; follow-up
questions keep the thread's context, and Stop cancels a slow answer. The
thread survives navigating into the answering subagent and page reloads (it is
kept locally like annotation drafts), so an in-flight answer still lands when
you come back. Stop silently drops the pending question, while a host-side
cancellation stays visible as an error entry with Retry. The answering child
never modifies files, never rewrites the plan, and cannot delegate further.

Protect unfinished reviews

Unsent comments are saved locally in the browser, isolated by Session, pending
request, and plan revision. If you try to approve while feedback is still
pending, the plugin requires an explicit second confirmation instead of
silently discarding your work.

Approval requires confirmation when comments have not been sent

Capability What you get
Precise annotations Text selection plus a reliable double-click block fallback
Multi-comment review Anchored comments, source navigation, deletion, and overall feedback
Responsive review column Side-by-side on wide screens, an on-demand drawer on narrower desktops, and a bottom sheet on phones
DSH response loop Approve, request changes, or return to chat through the existing pending interaction
Ask AI Plan Q&A by a one-shot read-only subagent, with quoted excerpts, follow-ups, and cancellation
Draft recovery Best-effort local recovery without a plugin server or third-party service
Review safeguards Stale-plan draft rejection and explicit confirmation before discarding feedback
UI fit English and Chinese copy, keyboard shortcuts, responsive layout, and DSH theme tokens

📦 Install

Install the GitHub bundle into the DSH Web profile, then restart dsh web:

dsh plugin --profile web add github:titanwings/dsh-plannotator#v0.1.4

The repository ships its built Host and Web bundles, so installation runs no
package build script and needs no allowBuilds entry. Pin a reviewed commit SHA
instead of the release tag when you need an exact source revision.

Install from a local checkout

Use Node.js 22.19+:

pnpm install
pnpm check

cd /path/to/deepseek-harness
pnpm dsh plugin --profile web add /path/to/dsh-plannotator

Restart dsh web after changing the installed Client plugin set.


🔄 How it works

  1. Ask the coding agent to create a plan in DSH Plan mode.
  2. When exit_plan_mode reaches Plan Review, DSH shows a compact gate. On wide
    screens the review opens beside the conversation; narrower screens keep it
    closed until you choose Open review.
  3. Select the exact text that needs work. Collapse and reopen the panel at any
    time without settling the review.
  4. Add as many targeted comments as necessary, plus optional overall feedback.
  5. Choose Send feedback. The agent receives one structured review and stays
    in plan mode.
  6. Review the revision and choose Approve when it is ready to implement.

Chat about it dismisses the gate and returns to the ordinary composer.
Removing the plugin restores DSH's built-in Plan Review automatically.

Built for real coding plans

The screenshots above use a production-style authentication migration example,
not placeholder copy. The same workflow is useful whenever several plan details
must be correct before the first edit:

Plan Useful review comments
Database or auth migration Compatibility window, idempotent migration, rollback threshold, zero-downtime sequencing
Public API refactor Contract preservation, deprecation path, versioning, mobile or SDK compatibility
Security change Trust boundaries, CSRF and secret handling, audit evidence, failure behavior
Deployment rollout Feature-flag phases, observable stop conditions, owners, rollback rehearsal
Test strategy Missing failure cases, concurrency, restart recovery, regression and acceptance criteria

🧩 Compatibility and boundaries

  • Designed for the DeepSeek Harness Web client and Node.js 22.19+.
  • Claims only a valid, single-question DSH plan-review interaction. Other
    questions fall through to the built-in renderer.
  • Reviews Markdown plans; it is not a general document editor, Git diff viewer,
    PR publisher, file tree, or the full standalone Plannotator SPA.
  • Drafts live in the current browser's local storage. They are not cloud-synced
    and are intentionally rejected when the plan revision changes.
  • At 1480px and above, the plugin reserves a 440–560px companion column beside
    DSH, so the panel and conversation never overlap. Narrower desktops use an
    on-demand drawer; phones use a compact bottom sheet.
  • The companion panel is plugin-owned, not DSH's core details panel. It uses
    the stable Web #root mount boundary to reserve space and lets AppFrame
    reflow normally; it does not register in or rewrite the core details grid.
  • The Ask AI channel is a loopback/trusted-host RPC channel (/dsh-plannotator)
    on DSH's shared Connection transport. Each question runs as a one-shot
    subagent (labelled plan-ask, visible in the session's subagent list) that
    forks the reviewed session — inheriting its model, composition, and completed
    conversation turns — under a read-only tool filter (a composition without the
    fork provider, or whose fork lacks the requested tool-filter/persona
    capabilities, falls back to a fresh child). Answers are unary (no streaming
    yet), capped at 32k characters so they always fit a follow-up's context, and
    the Q&A thread is kept in local storage per review — it survives panel
    navigation and reloads, unlike annotation drafts which reject stale plans.
  • Feedback travels through DSH's existing response channel. No third-party
    service or telemetry is used.
How it fits DSH's Cordis architecture

The bundle inserts one Cordis Loader row. Its Host entry registers only the
Ask AI RPC channel on the shared Connection transport; package.json#dsh.client
exposes the Web bundle. The Client registers its locale namespace and a
conversation.composer chain entry at priority -10, ahead of the default
question renderer, and selects only Plan Review requests. That contribution
renders the compact gate and mounts the plugin-owned panel through a React
portal. Wide layouts reserve matching space at the stable Web root; narrower
layouts reuse the panel as an on-demand drawer or bottom sheet.

There is no DSH core patch, parallel agent loop, duplicate persistence layer,
or custom scheduler. Unloading the Cordis row removes the slot contribution and
reveals the built-in UI again.


🛠️ Development

pnpm typecheck
pnpm test
pnpm build

The browser bundle follows DSH's window.__ModuleLoader__ contract and treats
React, ReactDOM, and DSH UI primitives as platform modules, preserving one React
runtime.

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-plannotator for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:titanwings/dsh-plannotator

Headless (CLI) profile:

dsh plugin --profile headless add github:titanwings/dsh-plannotator
⚡ Prebuilt copy available — skip the build step, install the compiled version directly:
dsh plugin --profile web add https://dshbase.com/builds/dsh-external-dsh-plannotator-0.1.3.tgz

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

When to use it

Automate a repetitive job — scheduling, chaining tasks, or reacting to events — so it runs without you starting it.

Who it's for

Users with recurring work who want it cron-style and hands-off rather than manually triggered.

For developers — extending it

Triggers and task templates are the seams — add event-driven or file-watch triggers, and richer workflow composition.

Security: not yet scanned — our daily static scan will cover it shortly.

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