DeepSeek Harness PluginManifest Valid

dsh-wemedia-workbench

Local-first media workbench for DeepSeek Harness with revision-bound reviews, approvals, and persistent jobs.

Developer ToolsSecurity & PolicySkills & Workflows

1GitHub Stars0ForksUpdated2026-09-14

Source

Install

No clear install command was found in the current repository evidence.

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-wemedia-workbench is a local-first multi-platform media workbench built for DeepSeek Harness. It facilitates AI-assisted content organization while managing immutable revisions, review evidence, native user approvals, and persistent multi-channel delivery workflows.

Key Capabilities

Local-first content discovery and immutable revision management for text and media assets
Evidence tracking binding factual, editorial, visual, and mobile preview checks to explicit revision hashes
Integration with native DSH agent tools and PTC workflows with shared permissions
Persistent delivery jobs with pre-flight checks, explicit action approvals, and idempotent status verification
Batch WeChat draft processing with preview lists, per-article approvals, and execution queues
Adapter contracts for multi-platform distribution across WeChat Official Accounts, Zhihu, Xiaohongshu, and X
Deterministic formula rendering and PDF asset cropping scripts preserving source SHA references

Useful For

Managing self-media content production pipelines locally with AI assistance
Reviewing and verifying articles with multi-factor proof before publication
Orchestrating multi-platform drafts and scheduled distribution with explicit human-in-the-loop approvals

Who It Fits

Technical writers and content creators using DeepSeek Harness
Self-media teams requiring auditable revision and review histories
Developers looking to automate multi-channel content deployment workflows

Documented Limitations

Locked to DeepSeek Harness 0.1.1-rc.2 and Cordis 4.0.1; compatibility with other versions is not guaranteed
Does not include pre-configured platform credentials, accounts, runtime bridges, or content directories
Formula rendering and PDF cropping require external Python dependencies (Matplotlib, PyMuPDF) installed separately
Does not provide a unified standalone CLI or automated headless bypass of approvals

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 3 runtime, 31 development, 18 peer, and 0 optional dependencies.

info

Dsh Bundle Declared

package.json declares DSH bundle metadata.

info

License Declared

GitHub reports the repository license as MIT.

info

Package Manifest Available

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

info

Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

info

Source Available

Public GitHub source metadata is available for this registry snapshot.

info

Source & Registry Notes

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

Source repository: Harzva/dsh-wemedia-workbench
Registry source: GitHub · dsh-plugin topic
Registry classification: Plugin Bundle
Source checked: 52747b7 · 2026-10-21

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.