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staff-os/dsh-workbench

An enterprise workbench for the DeepSeek Harness: AI employees, knowledge bases, skills, MCP servers and DSH plugins, all manageable from a running session.

4 stars
2 forks
JavaScript
momentum ▲ 12.0
created 2026-08-22
on radar since 2026-08-26
agent-frameworkagent-skilldeepseek-harnessdsh-pluginenterprise-aienterprise-ai-engineeringskillhub
View on GitHub ↗

About dsh-workbench

Enterprise workbench plugin for DeepSeek Harness: AI employees, knowledge bases, skills, MCP servers, DSH plugins — five domains, each with a tool for the model and a management surface for the person.

Runs standalone. No external backend, no database. Every piece of state is a local file under $DSHHOME.

Local skills live under $DSHHOME/skills, one directory per SKILL.md; they can also be installed from a configured marketplace. The inventory leads with three counts — how many this plugin manages, how many are shadowed by a same-named higher-priority source, and how many DSH rejected whole over non-compliant frontmatter. The last two both present in a session as "I installed it but it never fires", and DSH itself only logs one warning line about them.

After every write the plugin reads ctx.skills back, so what it reports is whether the skill is in effect now — not "after a restart". Once the file lands, the next model turn has it.

The marketplace aggregates several sources, and each card names the one it came from. A blank browse is sorted by total downloads; a keyword search keeps the order the marketplace returned. Cards carry no install button — the whole card opens the detail, because installing a skill is not installing a library: the body of a SKILL.md is instructions the model will follow, and what you need in order to decide (publisher, review verdict, package contents, static scan) is in there.

From the project README.

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