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* enhance(#4095): checkpoint:decision auto-selection is opt-in via auto_select Auto-mode used to auto-select a checkpoint:decision's first <option> unconditionally, making a decision checkpoint's safety depend on option presentation order rather than an authored choice. Add an optional auto_select="<option-id>" attribute on the <task> tag: absent, auto-mode now escalates to a human exactly like gate="blocking-human" does; present, it names the option auto-mode selects; naming an id with no matching <option id> is a hard structural-validation error at plan-parse time rather than a silent fallback to the first option. gate="blocking-human" continues to win over everything, unchanged. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * fix(#4095): anchor auto_select/id attribute regexes past hyphenated decoys An isolated adversarial review of the auto_select work found that both new attribute regexes used \b as their left anchor, which is a word boundary, not a "start of attribute name" boundary. A decoy attribute ending in the same word (e.g. data-id="...") sitting before the real id="..." on the same <option> tag matched first, silently corrupting the extracted option id. Anchor on (?:^|\s) instead so only the real attribute name can match. Adds a regression test reproducing the exact decoy-attribute shape, plus a Unicode option-id test from the same review pass. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * test(#4095): register auto-select-attribute.test.cjs in the docs-guard lane lint-docs-guard-registration failed: the new test reads docs/reference/ plan-md.md but was not registered, so a future edit to that doc could silently desync from the test without the guard catching it on the PR that changed the doc. Registered alongside its direct precedents (precondition-element.test.cjs, reversibility-tagging.test.cjs), which read the same file for the same reason. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * fix(#4095): fit the decision bullet under execute-phase.md's frozen byte ceiling The remote gsd-test run caught what local checks missed: execute-phase.md carries a frozen ADR-857 Phase-6 byte ceiling (93600) with only 36 bytes of headroom before this change, and the original checkpoint:decision wording pushed it to 93772 (over the ceiling). Cascaded into failures in phase6-capstone-conformance, execute-phase-completion-reconciliation, claude-orchestration, and the compact-content drift-report test. Also caught: tests/package-legitimacy-gate.test.cjs anchors a "decision is conditional, not unconditional" safety check on the literal phrase "first option" in the decision bullet — which #4095 deliberately removes, since there is no more unconditional first-option pick. The test was asserting an assumption this change intentionally makes obsolete; re-anchored on tokens that still identify the bullet ('decision', 'auto-spawn') without weakening what the test actually verifies (the bullet must still carry a blocking-human carve-out). Also fixed a word-order mismatch between my own new test's regex and the actual doc text it was asserting against (tests/auto-select-attribute.test.cjs). Regenerated the compact-content benchmark baseline (tests/fixtures/compact-content-benchmark-baseline.json) to match the new byte counts. Emitted-Drift-Ack-Growth: gsd-executor.md — +7 bytes (49138 -> 49145), from the auto_select carve-out added to the checkpoint:decision auto-mode bullet; already trimmed once to fit the 49152 hard cap. Emitted-Drift-Ack-Growth: execute-phase.md — +12 bytes (93564 -> 93576), from the same carve-out in the orchestrator's decision bullet; kept 24 bytes under the frozen 93600 ADR-857 ceiling after two rounds of trimming for clarity vs. margin. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * chore(#4095): backfill changeset PR number Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> --------- Co-authored-by: sim <sim@local> Co-authored-by: Claude Sonnet 5 <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.