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* feat(#4036): persist CI shard/job timeout-vs-cap trending, warn at 90% Adds two new mechanisms plus an audit-coverage extension: - scripts/lib/ci-job-timing.cjs: shared elapsed-vs-cap arithmetic - scripts/ci-check-job-near-cap.cjs: in-job advisory near-cap check, wired into test/test-full/mutate/smoke as each job's last step - scripts/ci-timeout-report.cjs + .github/workflows/ci-timeout-report.yml: scheduled REST-API poll that appends new records to tests/ci-timeout-budget-history.jsonl and opens a small data-only PR - tests/ci-test-job-timeout-budget.test.cjs: extended to cover mutate (mutation.yml) and smoke (install-smoke.yml), which previously had no headroom-factor gate coverage at all Does not change any timeout-minutes value, shard composition, or shard-1 contents — those stay maintainer policy calls per the issue's own scope. * fix(#4036): address two-orthogonal-review findings - Parity tests guarding the two hand-duplicated literals this design cannot single-source through GH Actions YAML: CI_JOB_TIMEOUT_MINUTES vs each job's own timeout-minutes, and ci-timeout-report.cjs's JOB_RULES name-prefixes vs each job's actual name: template. - Thread run.event through as runEvent on every persisted record, so PR-context and push-context install-smoke timings (genuinely different matrix shape) are distinguishable in the history rather than silently conflated under one job name. - Replace the Windows near-cap start-time step's ambiguous PowerShell +/>> precedence with GitHub's documented string-interpolation form. - Move github.run_id out of direct ${{ }} shell interpolation into an env: var in the new scheduled workflow, per this repo's own expression-injection-safe convention. * test(#4036): regenerate golden install-tree fixtures for scripts/lib/ci-job-timing.cjs npm run gen:install-tree — scripts/ ships wholesale into the installed package (per ADR/known-defect precedent from #4012's own PR history: a new scripts/lib/*.cjs file needs its golden entry regenerated or every runtime's install-tree test fails). Confirmed via gsd-test: this was the sole cause of the first real verification run's 25 failures (all in tests/golden-install-tree.test.cjs, one per runtime). Top-level scripts/*.cjs files (ci-check-job-near-cap.cjs, ci-timeout-report.cjs) are not individually tracked in these fixtures — consistent with every other existing top-level scripts/*.cjs file, so no entry was expected or added for those two. * fix(#4036): register new lib file with installer, fix H1 shell policy - bin/install.js: add ci-job-timing.cjs to GSD_SCRIPTS_LIB_FILES (a hand-maintained registry, not generated — tests/install.test.cjs asserts every scripts/lib/ file is enumerated here) - test.yml: replace the two OS-conditional "Record job start time" step pairs (test + test-full jobs) with a single unconditional `node -e` step. The prior pair's Windows variant declared an explicit shell: pwsh, which scripts/workflow-policy.cjs's H1 checker statically flags against every OS a job's matrix can realize, independent of the step's own if: gate. A single Node one-liner needs no shell override at all — it's syntactically valid and behaves identically under bash, zsh, and pwsh — which is both H1 compliant and removes the last OS-specific shell syntax from this change entirely. Both defects were found by a real gsd-test run, not local gates — lint:ci and build:lib were clean throughout because neither the scripts/lib/ install-manifest parity check nor the H1 shell-policy baseline runs as part of lint:ci; both are gsd-test-only suites. * docs(#4036): how-to for reading CI timeout budget signals The phase-gate docs check correctly flagged the enablement sequence as 3 real steps (read the near-cap warning, find the accumulated trend file, pick the right maintainer lever) — a reference table can't carry a sequence. Adds docs/how-to/read-ci-timeout-signals.md, indexed from docs/README.md. * chore(#4036): backfill changeset PR number (4043) --------- Co-authored-by: sim <sim@local>
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.