dsh-page-evidence
面向 DeepSeek Harness 的页面感知 PDF 证据：显示未阅读页面，运行可选的本地 OCR，并保留精确的引文位置。
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:XUYE23/dsh-page-evidence#a7ba913b762e6e0be4fb37fbd2b79b978e30ca5dPage Evidence 以 dsh-page-evidence 发布，当前版本为 0.1.0-alpha.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。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →Read mixed text/scanned PDFs with visible coverage warnings, local CPU OCR, and quotes tied to physical page numbers.
Experimental alpha. The initial corpus contains two synthetic PDFs. Tested with Node 24 on Windows and the published DSH 0.2.0-rc.2 tool runtime. Full DSH Web installation and real-user document evaluation remain pending. This is an independent community project.
Live demo · Download alpha · 中文 · Demand and alternatives · Validation
Users have reported a scanned-document reading workflow breaking at the image capability gate. Existing DSH document plugins cover upload, OCR, and knowledge bases. This project focuses on page-level evidence integrity.
In a local reproduction of dsh-docintel at commit 7574023, a mixed three-page PDF silently omitted scanned page 2. Its chunker merged page 3 text into a chunk labelled page 1. Page Evidence reports the empty text layer, optionally OCRs that page, and keeps each quote on its physical source page. The fixture and comparison script are included; this finding is specific to the tested version and fixture.
Requires Node 24+. Clone the repository and run:
git clone https://github.com/XUYE23/dsh-page-evidence.git
cd dsh-page-evidence
npm ci --ignore-scripts
npm run demo
node src/cli.mjs test/fixtures/mixed-pages.pdf --ocr --query NEBULA
node src/cli.mjs test/fixtures/chinese-scan.pdf --ocr --language chi_sim --query 现金流
Open outputs/demo.html for an interactive comparison built from the actual extraction output. outputs/demo.json contains the underlying results. All PDF processing runs locally. OCR uses packaged English/Simplified Chinese language data; extraction makes no network or model API request. Installation downloads npm dependencies.
Download dsh-page-evidence-0.1.0-alpha.1.tgz from the alpha release, then run:
dsh plugin --profile web add ./dsh-page-evidence-0.1.0-alpha.1.tgz
Restart DSH. The bundle mounts pdf_page_evidence. Set the plugin row's config.workspaceRoot to the local directory whose PDFs it may read; the default is the host process working directory. An operator patch uses:
- id: page-evidence
config:
workspaceRoot: /absolute/path/to/documents
Use the configuration editing mechanism supported by your DSH version. This local-host adapter opens files with Node; SSH/container filesystem providers and DSH filesystem-policy integration are outside the current alpha.
Example tool arguments:
{"path":"report.pdf","pages":[2,3],"ocr":true,"language":"eng+chi_sim","query":"cash flow"}
Returned fields include:
Literal search requires every query term on the same page. Han-character matching tolerates OCR-inserted spaces and preserves offsets into the original extracted text. This is a bounded evidence reader; semantic retrieval and answer generation are separate consumers.
import { inspectPdf } from 'dsh-page-evidence/core';
import { chunkPages } from 'dsh-page-evidence/chunker';
const report = await inspectPdf(pdfBytes, { ocr: true, pages: [1, 2] }, signal);
const chunks = chunkPages(report.pages, 1200);
Every chunk stays inside one physical page. Other RAG/indexing plugins can consume these records. No automatic replacement of another plugin's parser or stored index is performed.
ocr: true.npm test
npm run test:ocr
npm run test:host
node scripts/compare-upstream.mjs /path/to/reviewed/dsh-docintel
The upstream comparison executes the specified checkout; review it and install its dependencies first. See validation for measured results and remaining gaps.
MIT. See third-party dependencies.