0xdhx f0ef9063d5 test(#2665): restore the three agent-skills tests this PR deleted
Commit 2bed9fd8 ("replace the hand-synced TEST_ENV_BASE copies with the
canonical import") also removed markLocalGsdInstall and three behavioural tests
from tests/agent-skills.test.cjs -- 79 lines, no replacement, and no mention in
the commit message or the PR body:

  - unconfigured Codex reads its local companion agent from a descendant cwd
  - workstream runtime selects the local Codex companion when root config differs
  - unconfigured Claude remains empty when a local Codex companion exists

RULESET.TESTS.delete-bad-tests permits deleting a bad test only when it is
replaced with compliant tests in the same PR. Nothing was replaced, and these
were not bad tests -- they were collateral in a mechanical edit. A silent net
loss of behavioural coverage inside a PR whose subject is test hygiene is the
one thing that should not pass here, and the reviewer was right to block on it.

Restored verbatim. They need no adaptation to the canonical TEST_ENV_BASE
import: they pass their env explicitly, and an explicit env still spreads last
over the base. The file goes 80 -> 83 tests, all green.

Non-vacuity checked rather than assumed: dropping the local-install marker the
first two depend on fails both. The third is a negative assertion and correctly
stays green, which is why it is named here rather than counted as covered.

Addresses review finding: Blocker 1.
2026-08-08 05:50:49 -05:00

GSD Core

Git. Ship. Done.

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A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.

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What is GSD Core

GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Antigravity CLI, Kimi CLI, Copilot, Cursor, and more) through a disciplined phase loop. It solves context rot — the quality degradation that accumulates as an AI fills its context window — by running all heavy research, planning, and execution work in fresh-context subagents while keeping your main session lean.


How it works

Each milestone repeats the same five-step loop, one phase at a time:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. Ship — create the PR, archive the phase, repeat for the next one

Quickstart

npx @opengsd/gsd-core@latest

The installer prompts for your runtime (Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more) and whether to install globally or locally. The installer is required for cross-runtime compatibility — do not copy files from agents/ or commands/ directly.

On another runtime or without Node.js? See Install on your runtime.

Once installed, start a new project or onboard an existing repo:

/gsd-new-project   # greenfield project
/gsd-onboard       # existing codebase

New here? Follow Your first project for a guided walkthrough from install to first shipped phase, or Onboarding an existing codebase for brownfield setup.


Documentation

What's new in 1.7.0 → docs/whats-new-1.7.0.md

Tutorials — learning by doing:

How-to guides — task-focused recipes:

Reference — authoritative facts:

Explanation — concepts and design decisions:

Full index: docs/README.md. Other languages: 日本語 · 한국어 · Português · 简体中文.


Why it works

Most AI-coding setups fail at scale because context bloat silently degrades output quality, there is no shared memory between sessions, and nothing verifies that code actually works. GSD Core solves all three: heavy work runs in fresh subagents, structured artifacts like STATE.md and CONTEXT.md survive session boundaries, and the verify step walks through what was built and generates fix plans before a phase is declared done. See docs/explanation/context-engineering.md for the full reasoning.

Troubleshooting? See docs/how-to/recover-and-troubleshoot.md.


Community

Project Platform
gsd-opencode Original OpenCode port
Discord Community support

Star History

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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