* fix(#4192): honor explicit model pins on the claude runtime Two documented model-configuration contracts did not hold on the claude runtime (confirmed-bug scope from the issue triage): Finding 1 — model_profile_overrides.claude.<tier> was inert. Step 3 of resolveModelInternal gated runtime-aware tier resolution on configRuntime !== 'claude', so the key's only reader was never consulted, while workflows/settings-advanced.md writes it for claude-runtime users. A new step 4.5 resolves ONLY the user's override entry (never the builtin claude tier map, so unpinned installs keep resolving aliases). An override value that maps to a current tier alias collapses to that alias (byte-equivalent, the #2041 protection); anything else — a pinned older generation, a bare alias repoint, a non-Anthropic id — resolves verbatim. It sits after the resolve_model_ids:'omit' gate so an explicit project omit still wins (#2297) and before the alias return so resolve_model_ids:true cannot re-materialize the pin to the latest id. Finding 2 — fully-qualified claude-* ids in model_overrides were warn-dropped to tier resolution (mapClaudeOverrideForRuntime unmappable branch, #2041), while the docs promise any fully-qualified model id is valid. The unmappable branch now passes the pin through verbatim with a warn-once breadcrumb (text describes the pass-through). Dropping it silently unpinned the operator's explicit choice — the exact 'profile can misrepresent what actually runs' defect of #4192. Mappable ids and non-claude values behave exactly as before; resolveModelForTier shares the mapping; the tier honesty signal is unchanged (raw ids still report 'unknown'); the model_policy path is untouched. Docs updated to the agreed contract (CONFIGURATION.md false 'Claude example' corrected; how-to + shipped reference document the pin semantics, the fable alias, and the tier-override composition). * test(#4192): pin explicit model pin resolution on the claude runtime 28 failing-first rows across the resolver seam and the resolve-model CLI: pinned-generation fidelity (tier override + per-agent verbatim pins, object form, explicit runtime), unpinned controls byte-stable (no override, other runtime/tier, inherit, project omit, precedence), adversarial rows (prototype-chain keys, malformed values, warn-once dedupe, 64-char stderr cap), and behavioral AC1/AC2 rows through runGsdTools. The stale #2041 fall-through assertions now pin the pass-through contract; mappable-id collapse assertions unchanged. * chore(#4192): add changeset fragment * chore(#4192): backfill PR number in changeset fragment --------- Co-authored-by: ZCode <zcode@localhost>
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.