0xdhx 08021b02c0 fix(#2665): scrub config-location env vars in every TEST_ENV_BASE declaration
TEST_ENV_BASE blanks session-identity variables but none of the three that
decide WHERE a child process writes: CLAUDE_CONFIG_DIR, GSD_RUNTIME and
CODEX_HOME. The config-home resolver is env-first (runtime-homes.cts, the
dot-home case consults the env var before the home-derived fallback), so an
ambient CLAUDE_CONFIG_DIR in the developer's shell beats a call site that
sandboxes only HOME. The suite then writes into the developer's real config
directory -- including a registered skill under <configDir>/skills/ whose
body carries behavioural directives that load into later sessions.

Blank all three alongside the session-identity vars. `...env` still spreads
last, so the five call sites that already constrain these locally keep
winning with their explicit values.

TEST_ENV_BASE is re-declared in nine files, so the three lines are added
nine times rather than once. Consolidating the nine into a single exported
constant -- and fixing the TERM_SESSION / TERM_SESSION_ID drift between the
copies -- is deliberately left out of this change; see the PR body.

One call site needed adjusting. capability-state.test.cjs's
`capability state --runtime claude` CLI test passed no env at all and
compared the CHILD's resolved config dir against the PARENT process's
getGlobalConfigDir('claude'). That agreed only because the child inherited
the developer's ambient CLAUDE_CONFIG_DIR -- i.e. it passed *because of*
the leak. It now redirects both runtime homes into the sandbox and asserts
against values the test controls, so it is hermetic with the variable set
or unset.

Regression case folded into the owning module's test file rather than a new
bug-NNNN file, per scripts/lint-regression-test-names.cjs. It sets the
variable on the PARENT process, which is the actual vector; setting it in
the per-call env argument would exercise a path that was never broken.
2026-08-08 05:49:33 -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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