ddf852873c
A phase directory can hold more than one `*-VERIFICATION.md` — an ad-hoc `03-CORRECTION-VERIFICATION.md` worksheet beside the real `03-VERIFICATION.md`. Discovery took the alphabetically-first match, so the worksheet won and the phase could report `missing` while a passing report sat next to it. The issue named two copies. There were seven, in four grammars: two `.sort()[0]` sites in the verification module, three `.find()` over UNSORTED readdir order (phase status, and `verification_path` twice — filesystem-dependent, so two machines on one commit could disagree), and two in shell. All seven now route through one exported `resolveVerificationFile`; the shell copies via a new `verification resolve-file` verb rather than hand-rolling the rule an eighth time. Fixing five of seven would have been worse than fixing none: the verify-work workflow is a WRITER that stamps `status: passed` onto the file it picks, so canonical-aware readers plus an alphabetical writer means the human_needed→passed canonicalization silently no-ops forever while the worksheet gets stamped. That divergence did not exist on next. The first resolver was itself a regression — it preferred ANY canonically-shaped name over the phase's own report, so a stray cross-phase or sentinel-numbered file outranked it. The global-canonical preference was removed rather than narrowed; the rule is pinned to the phase token via `PHASE_NUMBER_TOKEN_SOURCE`, its existing owner. Fixed in passing: the transition workflow's awk guarded on `NR==1` instead of `FNR==1`, so across a multi-file glob it armed only on the first file — a leading worksheet with no frontmatter blocked transition even when the canonical report passed. Also removed a U+00AD soft hyphen introduced earlier on this branch. Five broader-grammar AGGREGATE scans are deliberately out of scope — a different defect class (phase-unscoped scanning), tracked as #3511. Closes #3357 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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.
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.