#173173rd of 389 in Skills, plugins and prompts

j-space-cognition-suite

Agent skill with Python gates for long, evidence-backed repo tasks

Stars
3k
License
Apache-2.0
Last commit
Sep 2026
Last release
Sep 2026
Language
Python
Stars, last 16 weeks+2,956
21 Jul 2026: 0 stars28 Jul 2026: 10 stars4 Aug 2026: 10 stars11 Aug 2026: 10 stars18 Aug 2026: 2,049 stars25 Aug 2026: 2,834 stars1 Sept 2026: 2,866 stars8 Sept 2026: 2,884 stars15 Sept 2026: 2,900 stars22 Sept 2026: 2,914 stars29 Sept 2026: 2,923 stars6 Oct 2026: 2,931 stars13 Oct 2026: 2,935 stars20 Oct 2026: 2,943 stars27 Oct 2026: 2,946 stars3 Nov 2026: 2,951 stars10 Nov 2026: 2,956 stars

0 on 21 Jul 20262,956 on 10 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

J-Space is a skill directory you copy into a host that loads SKILL.md. It adds thirteen prompt modules and standard-library Python scripts that persist task state, reread source files, detect stale repo maps, and exit nonzero when evidence or reviews are missing. It defines four operating levels (low to xhigh), with child-agent ownership and independent review at xhigh.

Who it is for: Engineers running long repo tasks with skill-capable coding agents

Strengths

  • Standard-library Python 3.10+ only; no pip dependencies or background service
  • Ship gate exits nonzero when state, source receipts, map or evidence is missing or stale
  • Four levels let simple tasks skip persistent setup entirely
  • CI covers Windows, Linux and macOS, with unit tests for state and freshness

Weaknesses

  • Host must supply tools and agents; installing the files registers no hooks
  • Automatic invocation needs manual wiring through host_bridge.py or explicit commands
  • README says tests do not show model performance gains
  • High and xhigh levels need many manual commands, maps and reports

What it needs

  • no GPU
  • Needs Python 3.10+, Host that loads SKILL.md

Quick answers

Is j-space-cognition-suite open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

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