sim 164076b6ac test(#3090): compare both canonical forms of the temp root, not just the unresolved one
The guard added in the previous commit refused legitimate temp directories on
macOS. os.tmpdir() returns a path under /var/folders/..., /var is a symlink to
/private/var, and path.resolve() does not resolve symlinks. So a caller that
passed the realpath'd form — via fs.realpathSync(), or via process.cwd() after
chdir-ing into a temp dir, which returns the resolved path — produced
/private/var/folders/... and failed a check written against /var/folders/...

Measured on this machine before the fix:

  mkdtemp path                     /var/folders/.../probe-XXX          allowed
  fs.realpathSync of the same dir  /private/var/folders/.../probe-XXX  REFUSED
  process.cwd() after chdir to it  /private/var/folders/.../probe-XXX  REFUSED

The accepted-roots set is now built from both the resolved and realpath'd forms
of os.tmpdir(), deduped — on Linux they are identical, so the set collapses to
one entry and nothing changes there. realpathSync is wrapped because it throws
if the root is momentarily missing, and a safety check must not become a new
crash. The target itself is deliberately NOT realpath'd: cleanup() is called on
already-deleted directories, where realpathSync raises ENOENT.

The roots are computed per call rather than hoisted to module scope, because two
test files override TMPDIR and a hoisted value would go stale for them.

Worth naming: the remote matrix runs linux-node22 and linux-node24 only, and it
passed 30544/30544 on the broken commit. os.tmpdir() is /tmp on Linux with no
symlink indirection, so that matrix could not have caught this at any sample
size. The regression test added here branches on whether realpath differs from
the original path, so it exercises the real case on macOS and stays meaningful
rather than vacuous on Linux.

Refs #3057

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-05 19:16:31 -04:00

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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