90771ddf02
* feat(#2904): add a `reviewer` entry type so third-party reviewer lanes are discoverable ADR-2782 made a reviewer lane installable by a third party, but neither discoverability catalog could hold one. The Community Capability Registry requires a non-empty `loopExtensionPoints` and forbids a lane from declaring any hook kind, so a `role: "reviewer"` entry is unsatisfiable by construction; the EoS Registry is for ADR-1239 host integrations, which a lane is not. Adds a third catalog — `docs/registries/reviewers.json` → `docs/registries/reviewer-registry.md` — whose `interactions` describes the lane: slug, flags, transport, evidenceClass, reviewsSection, requiresBinaries, configKeys, runtimeCompat. The lane vocabulary is a hand-written mirror of `capability-validator.cjs` (the same pattern as `AXES` mirroring `HOST_INTEGRATION_AXES`), with parity enforced by tests/registry-reviewer-parity.test.cjs. `slug` deliberately uses the runtime `LANE_SLUG_RE` grammar rather than the registry's kebab-only `id` rule, so real lanes (`lm_studio`, `4o-mini`) are not rejected. Two binary type branches became three-way Map dispatch. Both now fail loudly on an unrecognized type instead of silently treating it as a capability — `renderMarkdown` in particular writes a committed catalog file, so a silent wrong-title render was the worst failure mode available. Also fixed while here: `gen-registry.cjs` parsed source JSON with no error handling, so a malformed or non-array `capabilities.json` surfaced as a raw SyntaxError/TypeError instead of an actionable CLI error. Closes #2904 * fix(#2904): bound and sanitize untrusted registry `interactions` strings Review findings from the pre-PR passes. Security (isolated pass): `interactions` string fields reached the generated, committed Markdown catalog with no control-character check and no length bound. A `reviewsSection` carrying ESC and a `requiresBinaries` element carrying NUL plus 5000 characters validated clean and landed verbatim in the rendered page — `mdInline` escapes Markdown metacharacters and collapses CRLF, but nothing else. The identical gap already existed on the capability type's `configKeys`/`requires`/`runtimeCompat`/`produces`/`consumes`, so it is fixed there too rather than inherited into a third type. `hasDisallowedControlChar` is lifted to module scope so exactly one implementation exists, and a shared `validateStringArrayField` enforces control-character rejection, a 200-character element cap and a 50-element array cap for both types. Correctness (standards pass): `renderMarkdown`'s per-entry summary builder was still an if/else-if chain whose final `else` was the capability branch — the one per-type dispatch point this change had not converted, and the same silent fallthrough it removes elsewhere. It now lives in `RENDER_META` alongside the title, so a fourth type cannot silently inherit capability's rendering. All three types' rendered output is byte-identical to before the refactor. Also corrects a test comment that still claimed the reviewer suites were failing-first against an unmodified module. * chore(#2904): backfill changeset PR number (#2912)
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.