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Pharma Product Facts — DSH Plugin for DeepSeek Harness
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dsh-pharma-product-facts

Pharma Product Facts

Self-contained DSH bundle for verified pharma product facts, its skill, tools, and soft router

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:Alberssssss/dsh-pharma-product-facts-plugin#c95d6dfef71625abfa03beeee787b2c9b90eea6c
READMECompatibilityVersions

Compatibility and provenance

Pharma Product Facts is published as dsh-pharma-product-facts and currently resolves to version 0.2.2. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
8/24/2026

Versions

0.2.2stable
8/24/2026
0.2.1stable
8/21/2026

Related plugins

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Latest
0.2.2
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
8/24/2026
View source ↗
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README

dsh-pharma-product-facts

English | 中文

Standalone DSH bundle containing one pharma-product-facts skill provider, its narrow agent/pre-step router, and two DSH-native evidence tools. One Cordis row owns all four contributions, so installation, disablement, reload, and removal are atomic.

The runtime workflow is self-contained inside DSH. It uses the shipped web_search tool for URL discovery, a package-owned restricted CDE/NMPA HTML/PDF retriever, and a package-owned deterministic answer finalizer. It does not execute external medical skills, local Python scripts, or user-home resources.

Install

In the DSH Web UI plugin field, paste only:

github:Alberssssss/dsh-pharma-product-facts-plugin

From a terminal:

dsh plugin --profile web add github:Alberssssss/dsh-pharma-product-facts-plugin

Restart the web profile Host and create a new session. Existing sessions retain the composition and skill body with which they were created.

This repository commits verified prebuilt lib/ files and declares no install-time scripts, so a clean DSH profile can install the Git package without a pnpm allowBuilds exception. Source checkouts remain independently buildable with pnpm run build. Pin a reviewed commit when appropriate:

github:Alberssssss/dsh-pharma-product-facts-plugin#<commit>

DSH may report peer packages as absent from the profile directory because the Host supplies its core packages through the installation-owned module fallback. Do not install a second Cordis or DSH core copy merely to suppress that warning. Verify the resolved row with:

dsh --profile web --dump-config

Model visibility

Use a preset with @deepseek-ai/dsh-tool-skill, such as standard or code. The shared skill tool loads this package with skill({ name: "pharma-product-facts" }); there is no tool named after the GitHub repository.

Loading the plugin also registers these model-visible tools:

  • pharma_product_facts_fetch_source accepts only HTTPS URLs on CDE/NMPA hosts, follows only same-origin redirects, bounds response size and time, extracts HTML/text/PDF content, and requires the exact requested product identity to occur in the document.
  • pharma_product_facts_finalize accepts exact quotations and same-session evidence ids, rejects cross-session or altered evidence, derives source URLs itself, and renders the canonical public answer.

The skill uses DSH web_search only to discover candidate official URLs. Search snippets are not accepted as label evidence. The standard DSH base profile already exposes web_search; its configured search provider must be usable for live discovery.

The packaged workflow caps each turn at three web_search calls and four official-source candidates, counting timeouts and rejections; a lower user-supplied cap wins. Once search returns an official candidate, the skill validates it before spending another search call.

hcp_focus_card normally accepts only clinical_focus. To prevent a redundant model field from causing a long retry loop, the finalizer also tolerates a listed label_boundary only when its evidence id and exact scope quotation duplicate one focus item. The duplicate is validated but not rendered; not_listed, unrelated boundaries, and other mixed-mode inputs still fail. A mode-field correction reuses existing evidence and does not restart search or source retrieval.

For non-boundary modes, a tool-schema placeholder is treated as absent only when questioned_use, scope_quote, and evidence_id are all empty; partially populated objects still fail closed. PDF matching ignores CJK layout line wraps but preserves English word spacing and number/unit spacing. Canonical answers have no trailing newline so Web chat can reproduce them byte-for-byte.

Optional OpenAI search companion

This bundle does not package or select a web-search backend. It consumes the stable DSH web_search tool and works with any usable configured provider. To route that tool through OpenAI Responses native Web Search, install the companion bundle:

dsh plugin --profile web add github:Alberssssss/dsh-web-search-openai

The companion changes discovery only. This pharma bundle still fetches the cited CDE/NMPA page or PDF itself, checks the requested product identity and exact quotations, and owns the final answer. Installing either bundle does not force the conversation model to call the skill or web_search.

Runtime safety

  • Evidence is isolated by DSH agent/session and held only in a bounded in-memory store.
  • The retriever sends no cookies or credentials and rejects non-regulator hosts, HTTP, embedded credentials, non-default ports, cross-origin redirects, unsupported media, oversized responses, and product-identity mismatches.
  • PDF text extraction is bundled through the maintained unpdf dependency; no external document service is needed.
  • The finalizer verifies every public quotation against fetched text and prevents a truncated document from supporting an “absence” conclusion.
  • Public output rejects local paths, credential-like strings, tool names, and execution narration.

The package does not make the network or public regulator sites infallible. When no complete matching official source can be obtained, the skill returns a bounded “not verified” answer instead of filling facts from memory.

Configuration

All deployment-varying resource limits are fields on the same plugin row. Override the bundle row by id and restate its name:

- id: pharma-product-facts
  name: dsh-pharma-product-facts
  config:
    fetchTimeoutMs: 30000
    sourceToolTimeoutMs: 35000
    maxResponseBytes: 12000000
    maxSourceChars: 180000

The remaining defaults are maxUrlChars: 4096, maxRedirects: 3, maxEvidenceScopes: 64, and maxEvidenceRecordsPerScope: 24. userAgent is also configurable for deployments that require an operator-specific public identifier. Invalid numbers, a source-tool timeout shorter than the fetch timeout, and unsafe User-Agent text fail while the plugin loads. The HTTPS requirement and CDE/NMPA hostname allowlist are fixed security rules and cannot be relaxed through configuration.

Routing boundary

The router recommends this skill for product identity, static label facts, label safety fields, approval boundaries, and non-individualized HCP focus cards. It excludes patient-specific dosing or administration, eGFR/renal-function dose decisions, adverse-event management, combinations, competitor comparisons, commercial promotion, registration-document download tasks, and evidence reviews. The skill catalog description carries the same exclusions so an out-of-scope product mention is less likely to trigger model-initiated loading. A router hint is not proof of skill use; inspect the later skill call and evidence-tool calls in the session log.

Lifecycle

Disable every contribution together:

- id: pharma-product-facts
  disabled: true

Remove the installed bundle:

dsh plugin --profile web remove dsh-pharma-product-facts

Development and verification

The Git repository is independent: package versions are ordinary registry ranges, there are no workspace: dependencies, and pnpm run build builds from this checkout alone. Git installs use the committed lib/ artifacts and execute no dependency lifecycle script.

pnpm install
pnpm run typecheck
pnpm run test:coverage
pnpm run build
pnpm run pack:check

The package remains an external plugin rather than an official DeepSeek Harness release component. Medical correctness still depends on the exact public source selected and quoted; deterministic validation reduces source substitution and transcript leakage but does not replace clinical or regulatory review.