DeepSeek Harness Plugins
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dsh-evidence

Enables multi-file upload, private local retrieval, and coordinate-exact reads for PDF, DOCX, XLSX, and PPTX in DeepSeek Harness.

VisionTerminal & TUIDeveloper ToolsSecurity & PolicySkills & WorkflowsRemote Execution
0GitHub Stars0ForksUpdated2026-08-29

Install

$ dsh plugin --profile web add . # link this checkout into the web profile

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-evidence is an independent DeepSeek Harness plugin providing local document parsing, indexing, and retrieval. It equips DeepSeek Harness with composer-based multi-file and folder uploads, local SQLite FTS5/JS full-text search, and coordinate-aware document reading tools (search_documents and read_document). Instead of dumping full documents into the LLM context, it indexes files locally and allows models to inspect exact pages, slides, line ranges, or spreadsheet cells.

Key Capabilities

  • Upload files and folders via the Web composer with byte-level format validation and per-session quotas
  • Private local indexing and text retrieval with SQLite FTS5 or fallback in-memory JS search
  • Coordinate-exact reading of PDF (page ranges), DOCX (line/char ranges), XLSX (sheets and A1 cell ranges), and PPTX (slides)
  • Handoff of raster images (JPEG/PNG/WebP/GIF) to DeepSeek Harness native vision workflows
  • Deterministic version verification ensuring coordinates match file hashes before reading

Useful For

  • Grounding AI responses with exact citations to specific pages, lines, or spreadsheet cells
  • Analyzing large collections of PDFs, Word documents, Excel workbooks, and slide decks without blowing up context limits
  • Querying local business documents and meeting notes privately without external parsing APIs

Who It Fits

  • DeepSeek Harness web users needing precise document Q&A
  • Researchers and knowledge workers analyzing multi-format office files
  • Developers building RAG-like local evidence retrieval workflows in DSH

Documented Limitations

  • No OCR support for scanned PDFs, image-only pages, or embedded images in office files
  • Does not calculate XLSX formulas, run macros, or interpret PPTX charts/SmartArt/animations
  • Requires Node.js >= 22.13.0 for runtime PDF parsing and SQLite FTS5
  • Session isolation depends on host loopback/reverse proxy configurations and is not a multi-tenant auth layer

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 4 runtime, 15 development, 9 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
Cooberped/dsh-evidence
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
2ef0f50 · 2026-09-14

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
0GitHub stars
Forks
0
Open issues
2
Last commit
2026-08-29
Last release
No release detected
For maintainers

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