Tom Boucher 603593d41d fix(#1857): test gates normalize to one-shot + bounded timeout (no watch-mode hang)
A GSD verification gate resolves a project's test command and runs it. vitest
defaults to WATCH mode in an interactive TTY — exactly where a user runs
`gsd-execute-phase` — so a resolved `npm test`/`pnpm test` backed by vitest never
exited and the orchestrator waited indefinitely. Recovery needed the user to
manually prompt "something blocking?".

Fix — one shared helper + a bounded, surfacing timeout on the test-command gates:
- New pure module src/normalize-test-command.cts + `gsd-tools query
  normalize-test-command` verb: rewrites a resolved command to a best-effort
  one-shot form (direct vitest → `vitest run`; jest `--watch` → `--watchAll=false`;
  a package-manager `test` script whose package.json runner is watch-vitest →
  `CI=true` prefix; handles `--dir`; already-one-shot commands unchanged —
  never double-flagged). Named `normalize-test-command` (not `test-*`) so the
  file does not match node --test's default `test-*` discovery glob.
- The three gates that HUNG or silently-continued route through that ONE helper
  and bound execution with `timeout $(config-get workflow.test_gate_timeout)`
  (new config key, default 600s): the regression gate (extracted to
  execute-phase/steps/regression-gate.md since execute-phase.md is size-frozen —
  it shrank 93528→93132; ABORTS on exit 124), the post-merge gate, and the
  audit-fix gate (previously an UNBOUNDED `eval`). All name watch/dev mode on 124.
- verify-phase's gate was ALREADY bounded (a fixed `timeout 300`, not a hang), so
  it only gains the normalizer (so a watch runner exits fast) + a watch-mode hint
  on 124, staying under its frozen 40960-byte tier cap.

Security hardening (review): the normalizer only rewrites a runner named as a
standalone command TOKEN (so `run-vitest.js`/`make test-vitest`/paths are never
mangled), is length-capped and uses only linear-time split-based scanning (no
super-linear backtracking on an adversarial `workflow.test_command`), and reads
package.json only when it is a regular file (never blocks on a FIFO via `--dir`).

Config key `workflow.test_gate_timeout` (seconds, default 600) registered in the
schema manifest + templates/config.json + docs/CONFIGURATION.md (mirrors
workflow.cross_ai_timeout). New module registered in .gitignore, eslint ignores,
inventory manifest/index. All 16 golden-install-parity fixtures + workflow size
baseline regenerated for the changed shipped files; bin/lib is excluded from the
parity manifest.

Tests: tests/normalize-test-command.test.cjs (normalizer units incl. security
hardening) and tests/test-gate-watch-mode.test.cjs (the three core gates route
through the shared helper + configured timeout + exit-124 watch-mode hint;
verify-phase asserted as normalize-only/already-bounded).
tests/execute-phase-active-flags.test.cjs repointed at the extracted step;
tests/planner-language-regression.test.cjs allowlist comment updated.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-07 12:14:43 -04:00

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.

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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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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

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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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