Per /research + /diagnose direction: the timeout fix landed earlier this
session correctly diagnosed the failure (a real spawnSync timeout under
Windows CI contention, not npm being absent) but it recurred on the very
next push -- same chunk, same ~51-file load. Rather than raise the
hand-rolled 10s timeout myself (CLAUDE.md's own rule: fix the cost, not
the tolerance, and never touch a timeout without explicit instruction),
investigated the repo's own precedent first.
Found: this repo already has a canonical OS-shell-projection seam for
exactly this (src/shell-command-projection.cts's execNpm), already used
by dozens of other scripts/*.cjs files (require('../gsd-core/bin/lib/...')
is an extremely well-established pattern), with:
- the same npm.cmd/shell:true Windows handling check-env.cjs was
hand-rolling, but centralized;
- a 15s default timeout (vs. check-env.cjs's 10s) -- not invented here,
an EXISTING value already governing npm subprocess calls elsewhere;
- isSpawnTimeout / result.timedOut, the canonical cross-platform timeout
predicate (error.code === 'ETIMEDOUT'), whose own docstring explicitly
warns that checking signal === 'SIGTERM' (what my first fix did) is
"platform-fragile" with a Windows-specific false-negative risk -- the
exact platform this bug lives on.
check-env.cjs's npm-version check now calls execNpm(['--version']) instead
of hand-rolling spawnSync + npmCmd + shell:true, and
describeNpmVersionCheckFailure now operates on execNpm's SpawnResultOutput
shape (using timedOut, not signal) rather than a raw spawnSync result.
This is a genuine architectural fix, not just a bigger number: it removes
a duplicate, slightly-divergent re-implementation of an existing seam and
inherits whatever that seam's timeout/handling becomes in the future.
Manually verified end-to-end (npm run check:env against the real
environment) and re-verified describeNpmVersionCheckFailure's branches
directly against execNpm's actual return shape before wiring the test
file, since this repo blocks local node --test.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
GSD Core
Git. Ship. Done.
English · Português · 简体中文 · 日本語 · 한국어
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.
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:
- Discuss — capture implementation decisions before anything is planned
- Plan — research, decompose, and verify the plan fits a fresh context window
- Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
- Verify — walk through what was built; diagnose and fix before declaring done
- 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
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.