Tom Boucher 327b6409e8 fix(#2003): address code+security review findings
- warn (don't silently ignore) when --runtime is an unknown runtime that
  canonicalizeRuntimeName rejects; the warning surfaces via warnings[] so a
  typo like --runtime cluade or a runtime known to runtime-homes but not the
  alias manifest (e.g. grok) no longer silently resolves to the persisted
  runtime's config dir on this diagnostic command [M-1]
- add end-to-end CLI test for loop render-hooks --runtime (the exact command
  the bug report calls out as silently no-op'ing) [L-2]
- add closed-vocabulary rejection test: crafted --runtime values
  (../../etc/passwd, __proto__, --config-dir, garbage) are rejected, warn,
  and fall through to the persisted runtime — pins the security-load-bearing
  contract [NIT-01]
- add boundary tests: --config-dir wins over --runtime (precedence); missing
  --runtime value errors with USAGE [N-1]

Both orthogonal reviews returned APPROVE with no Critical/High findings.
Security review confirmed --runtime cannot coerce getGlobalConfigDir into an
arbitrary path (closed-vocabulary Map lookup + registry hash-key gate) and
does not expand the trust surface beyond the existing operator-controlled
--config-dir flag.
2026-07-06 23:32:06 -04:00

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.

npm version npm downloads Tests Discord GitHub stars License


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 your first project:

/gsd-new-project

New here? Follow Your first project for a guided walkthrough from install to first shipped phase.


Documentation

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.

Description
No description provided
Readme MIT 77 MiB
Languages
JavaScript 82.3%
TypeScript 17.4%
Shell 0.3%