Apache-2.0 Python Skill for selectively managed agent workspaces and optional `.jspace/` loop state. The README does not document DeepSeek Harness-native setup or rollback.
DSH integration
Ecosystem-related
Author-claimed
Safety audit
Unaudited
Last verified
2026-09-13
License
Apache-2.0
01What can it help you accomplish?
Organize multi-step agent work that needs deep reasoning, tool use, verification, and recovery.
A selectively loaded workspace approach and an optional controller for durable loop state; model weights and training remain unchanged.
People using an AI host with a native Skill loader, or a chat/API environment that can provide system or developer instructions and file or retrieval tools.
02How to install into DeepSeek Harness
Prerequisites
- A user-level Skills directory used by the AI host.
- An available Python 3 interpreter for the integrity check.
Installation steps
- 01
Download or clone the repository.
- 02
Copy the complete `j-space/` directory to the host's user-level Skills directory so the entry is `<skills-directory>/j-space/SKILL.md`.
- 03
Reload the host when it discovers Skills at startup.
Verify the integration
- Run `<python-command> <skills-directory>/j-space/scripts/verify_suite.py` with an available Python 3 interpreter.
03DSH integration and capability boundaries
Host-generic Skill and system/developer-instruction integration; the README does not document a DeepSeek Harness-specific connector or command.
Selective workspace loading
A task and the relevant modules or references.→One or two load-bearing ideas remain active while the rest is externalized and loaded on demand.
Optional loop-state controller
Commands for the resolved Skill path while the task workspace is the current directory.→Recorded and reported loop state, including a ledger, checkpoints, open questions, seam reports, ship checks, and resume information.
Writes working state only under the task workspace's `.jspace/` directory.
04Who is it for? When not to use it?
Good for
- People using an AI host with a native Skill loader, or a chat/API environment that can provide system or developer instructions and file or retrieval tools.
Not for
- Keep the installed directory intact because the entry routes to relative paths under modules, references, and scripts.
05Compatibility, maintenance and safety notes
- Keep the installed directory intact because the entry routes to relative paths under modules, references, and scripts.
- Using the optional controller writes working state beneath `.jspace/` in the current task workspace.
Apache-2.0; README documents the V3.7 package.
06Frequently asked questions
Does the README provide a native DeepSeek Harness integration?
No DSH-specific connector or command is documented. The README instead describes a cross-platform Skill, direct installation for hosts with native Skill loaders, and a system/developer-instruction route for chat or API environments.
How should I install it for a DeepSeek Harness workflow?
Use the mechanism your host supports for Skills: copy the complete `j-space/` directory into its user-level Skills directory, preserving the expected `j-space/SKILL.md` entry. The README does not name a DeepSeek Harness directory.
How can I verify the installation?
The README supplies an integrity-check command: run `<python-command> <skills-directory>/j-space/scripts/verify_suite.py` with an available Python 3 interpreter.
What does the optional controller change in my DSH task workspace?
It records and reports loop state under `.jspace/` in the current task workspace. The README says solution choice remains with the model.
07Related DSH workflows
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deepseek-balance-whale-widget
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DSH Web GUI 鲸鱼娘主题皮肤（深海女仆工坊 maid-atelier：亮/暗双模式）
08Data and sources
It is packaged as a Skill for cross-platform use, selective loading, and low-friction integration.
An environment with a native Skill loader can install `j-space/` directly.
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-13. Found an error? Submit a correction.
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