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* test(#2070): fail-first tests for adaptive model_profile and models tier validation Encodes the three acceptance criteria from #2070 plus the boundary cases the resolver silently ignores today (non-string values, empty string, mistyped phase-type key), and pins VALID_TIERS to a catalog-derived set. Red phase: these fail against current src/ by design. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SLufH5sDuqA1AiEGu45cuA * fix(#2070): accept adaptive model_profile in validate health; warn on invalid models tiers (W022) W004 sourced its profile list from a hand-maintained literal that predated the adaptive profile, so `"model_profile": "adaptive"` was false-flagged. It now reads VALID_PROFILES, which model-catalog.cts derives from model-catalog.json. models.<phase_type> was validated nowhere: the resolver's tier gate silently drops unknown values, so a typo like `"planning": "opuss"` was an undiagnosable no-op. A new W022 flags unknown phase-type keys and invalid tier values (including non-string values, which the same gate also drops). VALID_TIERS moves from a function-local literal in model-resolver.cts to a catalog-derived export, so health and the resolver cannot disagree by construction rather than by parity test. Object.values(adaptiveTierMap) is ['opus','sonnet','haiku'] plus 'inherit' — identical to the previous literal, so resolution behavior is unchanged. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SLufH5sDuqA1AiEGu45cuA * docs(#2070): changeset for validate health adaptive profile + W022 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SLufH5sDuqA1AiEGu45cuA * fix(#2070): close review findings — malformed models, tier-list duplication, changeset gate Review of the initial fix surfaced three real defects, folded in per the no-defer rule: 1. verify.cts: the W022 guard skipped a top-level `models` that is present but not a plain object (`[]`, `"opus"`, `5`, `true`). The resolver ignores those identically, so they were the same undiagnosable no-op #2070 targets — just one level up. They now warn; absent/null/{} stay silent. 2. config-loader.cts: RUNTIME_OVERRIDE_TIERS was a second hardcoded copy of the tier vocabulary this change had just de-hardcoded elsewhere. It now derives from the catalog via ADAPTIVE_TIER_VALUES (no 'inherit' — runtime overrides resolve to a concrete tier). Byte-equivalent to the old literal. 3. scripts/changeset/lint.cjs: USER_FACING_PREFIXES omitted `src/`. Post-ADR-457 the product source is src/*.cts compiled to a gitignored gsd-core/bin/lib, so the `gsd-core/` prefix is dead coverage for library code and a src/-only PR could merge with no release note — including this one. Adding `src/` closes the gate; tests/ stays non-user-facing. Also corrects a false docstring in the VALID_TIERS test: value-equality cannot detect a re-hardcoded literal, so the test no longer claims it does. Two review findings were rejected with evidence rather than actioned: - W021 double-allocation is governed by ADR-612 ("W021 renumber -> void ... kept, message-disambiguated"), not a defect. - Global-defaults validation would be a false-positive generator: config-loader reads ~/.gsd/defaults.json only on the "no .planning/" branch, and health early-returns E001 without .planning/, so those values provably never affect resolution in any context health can run. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SLufH5sDuqA1AiEGu45cuA * test(#2070): regenerate install goldens for the changeset-lint change scripts/ ships as an installed artifact, so scripts/changeset/lint.cjs's content hash is pinned in all 18 runtime golden fixtures. Adding 'src/' to USER_FACING_PREFIXES changed that hash and tripped every golden parity check. Regenerated via `npm run gen:golden`; the only delta is the lint.cjs hash. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SLufH5sDuqA1AiEGu45cuA * docs(#2070): backfill PR number 2336 into changeset Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SLufH5sDuqA1AiEGu45cuA --------- Co-authored-by: Claude Opus 4.8 (1M context) <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.