b6ebf9d4b4
* test(#2449): failing-first CRLF regression for tdd.review-checkpoint cmdTddReviewCheckpoint's frontmatter regex /^---\\n...\\n---/ (line 751) cannot match CRLF PLAN.md, so a type:tdd plan with Windows line endings was silently classified as 'no type:tdd plans' — output indistinguishable from a phase that genuinely contains no TDD plans. The advisory gate then short-circuited to a confident pass with no violations table. Adds tddPlanCrlf() fixture helper (CRLF twin of tddPlan) and a [crlf] test case that asserts tddPlans===1 for a CRLF type:tdd plan (would be 0 before the fix), plus block:true/violations:1 since the fixture has no RED/GREEN commits. * fix(#2449): make tdd-review-checkpoint frontmatter regex CRLF-tolerant The frontmatter delimiter regex at src/check-command-router.cts:751 used literal \\n which cannot match a CRLF PLAN.md delimiter (---\\r\\n). frontmatterMatch was null, the plan was never classified type:tdd, tddPlanFiles stayed empty, and the advisory gate short-circuited to a confident pass with no violations table. The fix replaces /^---\\n([\\s\\S]*?)\\n---/ with /^---\\r?\\n([\\s\\S]*?)\\r?\\n---/ — the same CRLF-tolerant form already used elsewhere in the same file at line 205 (extractPlanDesignatedSections). Same canonical pattern; one-line change. Same bug class previously fixed in #1658, #1668, #2206; this instance is in a different file and is not a duplicate of any of them. * fix(#2444): re-resolve body-parser to 2.3.0 in lockfile (GHSA-v422-hmwv-36x6) GHSA-v422-hmwv-36x6 (body-parser DoS via invalid limit value, low severity, published 2026-07-20T23:23:26Z) made tests/npm-integrity-gate.test.cjs (#3588: root workspace production tree has no advisories) fail any subsequent npm audit --omit=dev. The advisory affects body-parser >=2.0.0 <2.3.0 pulled transitively via @anthropic-ai/claude-agent-sdk -> @modelcontextprotocol/sdk -> express -> body-parser@2.2.2. express@5.2.1 already declares body-parser as ^2.2.1, so 2.3.0 is a valid re-resolution within express's own compatibility range — no override needed. Regenerated the lockfile via 'npm audit fix --omit=dev' which re-resolves transitive deps within their declared ranges; package.json is unchanged. Verified: npm audit --omit=dev reports 0/0/0/0/0 advisories; body-parser now reads as 2.3.0 in 'npm ls body-parser --omit=dev'. * test(#2449): add mixed-endings (CRLF frontmatter + LF body) variant Per code-review Low finding: CONTRIBUTING.md:490 names 'Mixed CRLF/LF newlines' as a required adversarial fixture class. The pure-CRLF [crlf] test covers the reported bug (Windows editor + autocrlf=input). This [crlf-mixed] variant covers the more adversarial case where frontmatter delimiters are CRLF but the body is LF (editor that normalizes body text, or a toolchain concatenating CRLF + LF fragments). The classifier only reads frontmatter, so detection is unaffected — but the test locks the behavior. * docs(changeset): add Fixed fragment for #2449 PR * docs(changeset): backfill PR number to 2477
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.