Tom Boucher 19edab21da fix(#1006): rc CHANGELOG preview crash on malformed changeset fragment + validate fragment content at the gate (#1007)
* fix(#1006): harden render --preview against fragment parse failures

`render --preview` wrote `report.preview` unconditionally. When a `.changeset`
fragment fails to parse, `cmdRender` early-returns with `{exitCode:1, report:
{failures}}` and NO `preview` key, so `process.stdout.write(undefined)` threw
ERR_INVALID_ARG_TYPE and the rc release job's "Preview CHANGELOG" step died with
a cryptic TypeError that masked the real cause.

Guard the preview write on `typeof report.preview === 'string'` (ADR-227: shape,
not just type); when absent, fall through to the existing failure reporter that
names the offending fragment and exits non-zero — identical to a non-preview
render. Also backfills the stray placeholder `pr: 0` -> `pr: 939` in
.changeset/936-convergence-inline-plan-phase.md that triggered the live failure.

Regression test (red-then-green verified) added at the render --preview seam.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* fix(#1006): validate changeset fragment content at the Changeset Required gate

The `Changeset Required` gate (scripts/changeset/lint.cjs) only checked that a
`.changeset/*.md` fragment EXISTS in the PR diff; it never validated the
fragment's contents. So a malformed fragment (e.g. an un-backfilled `pr: 0`
placeholder) silently merged to `next` and only detonated later in the rc
release job. This is the upstream prevention for #1006 — the crash hardening
turns the failure into a clear message, this stops the bad fragment ever
reaching the release path.

evaluateLint now accepts `fragmentFailures` and fails with the typed reason
`fail_invalid_fragment` (naming each offending file) before the existence/
opt-out checks — a malformed fragment beats `no-changelog`, since it will break
the render regardless. main() reads + parseFragment()s every changed fragment:
a deleted fragment (not on disk) is skipped, a present-but-unreadable one fails
closed. Tests assert on the typed LINT_REASON enum (no raw-text matching), a
precedence case over the opt-out label, and an end-to-end suite that drives the
real main() against a temp git repo (malformed -> fail, valid -> pass, deleted
-> skipped) so the wiring is regression-proof.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* test(#1006): assert the typed --json report in the preview regression test

Code review flagged the preview parse-failure regression test for positive
raw-text matching on CLI output (`combined.includes('bad-fragment.md')` /
`'invalid_pr'`), which this repo's testing standards forbid. Keep the non-json
`runRenderRaw` call for the negative crash proof (the ERR_INVALID_ARG_TYPE
crash lives only on the non-json stdout.write path), and add a `--json`
invocation that asserts the offending fragment + typed `invalid_pr` reason via
the structured `report.failures[]` surface instead of rendered prose.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-10 15:55:31 -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, Gemini CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.

npm version npm downloads Tests Discord GitHub stars License


What is GSD Core

GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Gemini 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, Gemini 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 your first project:

/gsd-new-project

New here? Follow Your first project for a guided walkthrough from install to first shipped phase.


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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