360b3ebc5a
* chore(#2496): clear five newly-disclosed production advisories The `#3588: npm audit --omit=dev reports zero advisories` gate began failing mid-release. The v1.8.0 finalize dry run was green at 17:27:27Z; GHSA-frvp-7c67-39w9 and GHSA-xgm2-5f3f-mvvc published at 18:17:25Z and 18:18:13Z, with fast-uri and two further hono advisories in the same window. Nothing in the tree changed — the advisory database did. All five arrive transitively through the one declared dependency @anthropic-ai/claude-agent-sdk -> @modelcontextprotocol/sdk. Two-part fix, both following existing repo precedent: 1. `npm audit fix --omit=dev` (no --force) re-resolves fast-uri and hono inside their already-declared ranges. package.json untouched — the same approach as .changeset/witty-badgers-hum.md (body-parser) and .changeset/archived/fix-3588-npm-audit-clean.md. Clears the only high. 2. overrides["@hono/node-server"] = ">=2.0.5" for the remaining chain, which cannot resolve in-range (^1.19.9 cannot reach 2.0.5) because @modelcontextprotocol/sdk@1.29.0 is already latest and still declares the vulnerable range. Extends the block that already pins qs and body-parser. Resolves to 2.0.11. Bumping @anthropic-ai/claude-agent-sdk to ^0.3.x was tested and REJECTED: 0.3.216 moves @modelcontextprotocol/sdk to peerDependencies, which npm auto-installs, so the chain survives and resolution pulls extra advisories — 5 vulnerabilities including a high, versus 4 moderate. Forced major sits under a dependency no tracked source imports (see src/mcp-server.cts:22 — the JSON-RPC loop is hand-rolled precisely to avoid the MCP SDK), so runtime risk is minimal. Revisit once upstream ships a release depending on patched @hono/node-server. npm audit --omit=dev: found 0 vulnerabilities. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * chore(#2496): add changeset fragment for the advisory clearance --------- Co-authored-by: Claude Opus 4.8 <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.