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dsh-ai-shopping-assistant

Verified · install-tested on dsh ShenXuAkaEkstasis

✓ Actively maintained

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2026-08-28Last push
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What it does

AI Shopping Assistant plugin for DeepSeek Harness (DSH), with product comparison, price analysis, merchant/review evidence and source-quality checks.

✅
Our take
Works — verified, early-stage project

AI Shopping Assistant plugin for DeepSeek Harness (DSH), with product comparison, price analysis, merchant/review evidence and source-quality checks. 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

AI Shopping Assistant for DeepSeek Harness

A deterministic shopping-decision plugin for DeepSeek Harness (DSH), adapted from AI Shopping Assistant 2.0.1.

Overview

The plugin helps an agent turn already-collected shopping evidence into a structured decision: candidate ranking, hard-constraint rejection, confirmed versus conditional price, merchant/review evidence, source-quality risk, and cross-SKU uncertainty.

It registers one tool: shopping_decision_analyze.

The plugin itself does not browse commerce sites, log in, place orders, pay, or collect credentials. The calling agent should gather current evidence first and pass structured JSON to the tool.

Compatibility

  • Plugin release: 2.0.1-dsh.2
  • DSH: designed against the current developer-preview bundle/tool contract documented in August 2026.
  • Node.js: ^22.19.0 || >=24.0.0, matching the DSH repository engine requirement.
  • Runtime dependencies: none. The plugin uses the tools service injected by the DSH host and does not install its own copy of @deepseek-ai/dsh-tools.

Because DSH is in developer preview, compatibility-breaking changes are possible. Pin a release or commit when installing.

Install

From GitHub after this repository is published:

dsh plugin --profile web add github:<OWNER>/<REPO>#v2.0.1-dsh.2

For headless:

dsh plugin --profile headless add github:<OWNER>/<REPO>#v2.0.1-dsh.2

No build step or prepare lifecycle script is required.

Uninstall

dsh plugin --profile web remove dsh-ai-shopping-assistant

Use headless instead of web if that is the profile where you installed it.

Quick start

Ask the agent to research products, then use the shopping decision tool. The tool accepts one argument, input_json, containing a JSON object.

{
  "operation": "analyze",
  "patch": {
    "budget_changed": false
  },
  "candidates": [
    {
      "name": "Example A",
      "channel": "official store",
      "base_price": 1999,
      "shipping": 0,
      "confirmed_discount": 100,
      "conditional_discount": 200,
      "eligibility_confirmed": false,
      "membership_required": false,
      "user_fit": 0.9,
      "evidence_confidence": 0.85,
      "merchant_trust": 0.95,
      "review_confidence": 0.75,
      "hard_constraint_failures": [],
      "source_quality_flags": [],
      "sku_scope_verified": true
    }
  ]
}

Decision rules

  • Ranking means fit to the current user's requirements, not a universal quality ranking.
  • Hard-constraint failures are rejected before recommendation ranking.
  • Unconfirmed discounts remain conditional rather than confirmed savings.
  • Membership fees can be included in the realizable price.
  • Link-level sales/reviews are not assumed to represent the current SKU when SKU scope is unclear.
  • Source-quality signals can reduce evidence weight, including repeated/template content, concentrated low-activity posting, SEO/GEO/AEO content matrices, unverified merchants, off-platform payment requests, and sensitive-information requests.
  • A material change in budget, category, region, or condition returns full_refresh, signaling that the agent should re-check product lines rather than merely re-rank old candidates.

Permissions and data

The plugin performs local deterministic computation only. It makes no network requests and writes no user data to disk.

Do not send passwords, OTP/SMS codes, cookies, bank-card information, payment passwords, or other credentials to this tool.

Troubleshooting

If the plugin is installed but the tool is not visible:

  1. Confirm the plugin is installed in the same profile you are running.
  2. Run dsh plugin --profile <profile> list.
  3. Restart that profile after bundle installation.
  4. Confirm the repository root contains package.json, index.js, and cordis.patch.yml.

Development

This release is intentionally plain ESM JavaScript with no runtime dependencies and no build lifecycle script. A local structural smoke test is included under test/ in the source repository but is not required at runtime.

Discovery

For DSH ecosystem discovery, add these GitHub repository topics:

  • dsh-plugin
  • deepseek-harness
  • shopping-assistant

License and security

See LICENSE.md and SECURITY.md.

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-ai-shopping-assistant 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:ShenXuAkaEkstasis/dsh-ai-shopping-assistant

Headless (CLI) profile:

dsh plugin --profile headless add github:ShenXuAkaEkstasis/dsh-ai-shopping-assistant

Test report

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

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

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