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dsh-approval-llm

⭐ 8 · ✅ active · plugin
Type plugin Category Vision & multimodal
Stars ⭐ 8 Status ✅ active
Author Letter2025 Updated —
Subcategory 👁️ Vision tools Capabilities coding

One-liner

Model-based permission approval (approve-for-me) for DeepSeek Harness: an approval/request answerer backed by a separate reviewer model

About

Model-based permission approval (approve-for-me) for DeepSeek Harness. A community plugin that adds a "model approval" permission mode (approve-for-me) to DeepSeek Harness: in that mode, approval/request asks are answered by a separate reviewer model instead of a human — the reviewer decides ALLOW / DENY / ESCALATE, and the request only reaches a human when the reviewer cannot decide or fails. In every other permission mode the plugin stays silent, so human approval is never front-run by the model. It is the dsh equivalent of Codex's approvals_reviewer=auto_review (--approve-for-me), and it follows the review design of AGENTSCOPE-PLAN-058 / 062 / 063 (orthogonal reviewer dimension, three-way decision, routing policy, pr

✨ Key Features

  • ALLOW / DENY / ESCALATE map 1:1 onto the dsh outcome vocabulary (allowed-once / rejected / delegate). ESCALATE and model failures never fabricate a reje
  • The mode gate makes the modes exclusive. In the 帮我批准 preset the reviewer answers; in 请求批准 (and every other preset) the plugin delegates, so human approv
  • One terminal answerer per deployment. The dsh approval chain is not a priority list of competing judges — compose one answerer. To keep human override, put
  • Arguments are read from the session log, not from the approval request (the request deliberately carries no arguments to avoid a second rendering that could

📦 Install

dsh plugin --profile web add dsh-approval-llm   # installs the published npm package

🚀 Quick Start

- insert:
    - id: approval-llm
      name: './src/index.ts'        # path to this package's entry, or an absolute path
      config:
        provider: deepseek-official
        model: deepseek-v4-flash

📚 Learn more

Configuration

All fields are validated by the Loader schema; defaults apply when omitted. Example overlay (cordis.patch.yml of your profile): config: provider: deepseek-official model: deepseek-v4-flash allowlist: [read, read_image, glob, grep] humanOnlyList: [delete, terminal_send] denyList: [job_kill] maxConsecutiveDenials: 3

Install

Copy-paste for an AI agent — hand this one sentence to any AI coding agent to have it install the plugin for you: "Read https://github.com/Letter2025/dsh-approval-llm/blob/main/README.md and follow its ## Install section to install the dsh-approval-llm bundle into the DeepSeek Harness web profile, restart the dsh web server, and verify that the permission selector shows the `model-appr

As an installable bundle (recommended)

This package declares dsh.bundle.patch in its package.json, so installing it activates a configuration layer that inserts the plugin row and adds the model-approval ("帮我批准") preset to the permission table — no manual preset config needed: dsh plugin --profile web add dsh-approval-llm # installs the published npm package Restart dsh web, then pick 帮我批准 in the permission selector (

Bundled skill: configure the reviewer

The package ships one bundled skill (configure-approval-llm, source bundled), so installing the plugin also puts a configuration guide in the skill catalog. Ask any agent to "configure the approval reviewer", or load the skill directly — it walks an AI-proposes / user-confirms flow: probe the current model and provider settings, write the approval-llm overlay into `~/.dsh/profiles/web/co