scripts/ci-test-scope.cjs's classify() previously set full_matrix=true for ANY changed tests/**/*.test.cjs file, unconditionally (restored by #4421 after #962's narrowing let a real macOS-only regression, PR #4384, land undetected). This replaces that blanket rule with a reachability check against real data instead of a path prefix: - A changed test file forces full_matrix only when it is present in Phase 2's committed CONFORMANCE_TIER_FILES list (scripts/lib/platform- conformance-tier.generated.cjs) -- direct membership, not a graph walk. - A changed src/ file forces full_matrix when its own content carries a genuine platform-conditional signal, reusing gen-platform-conformance- tier.cjs's classifyContent with a narrowed, source-code-safe signal subset (excludes two categories -- hardcoded-path-vs-path-call and symlink-keyword -- empirically found to flag 100/235 src/ files when applied verbatim, versus 28/235 with the narrow subset, all verified to carry genuine platform branches). New export: NOISY_FOR_SOURCE_REACHABILITY. - A change to the classification mechanism's own definition files (gen-platform-conformance-tier.cjs, the generated tier list, or suite-detection.cjs) always forces full_matrix -- the mechanism being changed cannot presume its own new output is safe. - Any computation error (a require/read failure, a malformed module) fails safe to full_matrix=true, per the issue's explicit requirement. The existing RULES array entries with their own fullMatrix:true (workflow automation, installer/package layout, hooks, environment/dependency gates, test harness) are deliberately left untouched -- they are curated, narrowly-scoped triggers for "this diff changes the CI/installer/hooks mechanism itself," a different and still-valid reason than "product code might reach a platform branch." Disclosed in .gsd/phase/.../40-design.md as a scope decision, since the issue's "Done when" wording read broader than its "Proposed work" bullets. Two design assumptions were caught and corrected before any code was written (rubber-duck pass, documented in 40-design.md): (1) reusing Phase 2's classifyContent verbatim against src/ was far too noisy; (2) a single hardcoded seam file (src/shell-command-projection.cts only, per CLAUDE.md's "single platform seam" framing) would have silently missed genuine, independent platform branches in src/runtime-hooks-surface.cts, src/capability-lock.cts, src/capability-ledger.cts, and src/surface.cts -- reintroducing the #4421 failure shape inside src/ instead of tests/. An isolated code-review pass found and fixed one real defect (a dead, untested branch that would have survived Stryker mutation testing) and one design-doc completeness gap (2 of 8 "narrow" signal categories were left implicitly rather than explicitly audited). An isolated security-review pass found no qualifying findings. tests/ci-test-scope.test.cjs gains the full #4592 boundary-case matrix (.gsd/phase/.../50-test-matrix.md), including a named #4421 regression case proving tests/state-todos-render.test.cjs still forces full_matrix, now for the documented reason instead of the removed blanket rule. Two pre-existing tests were corrected: one used a nonexistent fixture path (src/semver.cts -> src/semver-compare.cts, a real file); one (A3) asserted the exact old blanket-rule behavior this issue removes, updated to the new, verified- correct expectation. Co-authored-by: sim <sim@local> Co-authored-by: Claude Sonnet 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.