dsh-j-space

Bundles the J-Space Cognition Suite V3.6 as a DeepSeek Harness plugin skill: a model-agnostic, inference-time "inner workspace" operating protocol (reasoning discipline, planning, long-horizon state, verification, and a durable task ledger). No model weights are touched; nothing runs unless the agent invokes the skill.

What it does

• Registers a bundled skill provider into the host skill registry (global layer), so every agent preset catalog gains the j-space skill.
• Serves the full suite — entry skill, nine modules, references, and the optional jspace.py ledger controller — from inside the package.
• Injects a small runtime note resolving <skill-root> and the Python command, matching the suite own portability instructions.
• Registers nothing else: no tools, no prompts, no UI. If the host has no skill registry, the plugin is a no-op and startup is unaffected.

Install

In a DSH profile (~/.dsh/profiles/<name>):

dsh plugin --profile <name> add ./artifacts/dsh-j-space-0.1.0.tgz
# or directly from a GitHub release:
dsh plugin --profile <name> add https://github.com/Harzva/dsh-j-space/releases/latest/download/dsh-j-space-0.1.0.tgz

Then restart the profile. In a session, the agent (or you) can invoke it:

use skill j-space

The skill writes its .jspace/ ledger into the current task workspace, so it stays with the task. It needs only a Python 3 interpreter (python3) for the optional ledger controller; every ledger behavior has a hand-executable equivalent in the modules, so nothing is lost without it.

Development

pnpm check               # node --check + unit tests
pnpm run pack:dsh        # builds artifacts/dsh-j-space-<version>.tgz
pnpm run verify:dsh-offline   # isolated DSH profile boot + registry integration

License

Plugin code: Apache-2.0. Vendored suite content: Apache-2.0, © its authors — see THIRD_PARTY_NOTICES.md and the vendored upstream provenance in UPSTREAM_COMMIT.