455ad49ae3
* test(#2296): failing-first coverage for provider escalation on quota-exceeded
Covers the provider-escalation ladder layered onto EXEC.CLASSIFY: back-compat
(no escalation block without --failure-class), cap boundaries at
min(max_escalations, list length) at limit-1/limit/limit+1, opt-in gating,
malformed/hostile provider_escalation config, the --failure-class CLI negative
matrix, config-key registration, and a fast-check budget-limit property.
Red until the resolver, CLI flag, and manifest key land.
Refs #2296
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(#2296): config-gated provider escalation on quota-exceeded
The dynamic_routing tier ladder escalates within one provider, which does not
help when that provider is what ran out of quota. Add an opt-in provider ladder
layered on the existing EXEC.CLASSIFY seam.
- model-resolver: resolveProviderEscalation walks dynamic_routing.provider_escalation
capped at min(max_escalations, list length), reporting from/to/attempted/exhausted.
Invalid entries are dropped (ADR 227 shape validation). Stays a leaf module —
the quota-class policy decision is the caller's, per the CONTEXT.md contract.
- agent-command-router: export a frozen AGENT_FAILURE_CLASSES so the new CLI
validator cannot drift from the classifier that produces the values.
- resolve-execution: --failure-class flag; emits an escalation block ONLY when
passed, so the existing JSON contract is byte-identical for every caller.
- config-schema.manifest: register dynamic_routing.provider_escalation.
- execute-phase step 7.1: auto-escalate, honor Retry-After, fail loudly naming
every model tried once the ladder is spent.
Refs #2296
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(#2296): extract quota recovery to a reference fragment; regen goldens
The step 7.1a addition pushed gsd-core/workflows/execute-phase.md from 93390 to
95111 LF bytes, past the frozen ADR-857 Phase 6 ceiling (hard <93600, margin
<=93400) asserted by tests/fix-2285-claude-orchestration-wiring.test.cjs. The
base sat 10 bytes under the margin, so no inline wording would have fit.
That gate's own rationale is that optional-feature detail belongs in a fragment,
not the host loop. Moved BOTH the new provider-escalation branch and the
pre-existing manual recovery prompt into
gsd-core/references/execute-phase-quota-recovery.md, leaving step 7.1 as a
one-line pointer. execute-phase.md is now 92880 bytes — 510 SMALLER than base.
Also regenerates the fixtures that legitimately moved because three shipped
files changed (gsd-tools.cjs, config-schema.manifest.json, execute-phase.md):
golden-install-parity + install-tree for all 16 runtimes, INVENTORY.md +
INVENTORY-MANIFEST.json for the new reference, and the workflow size baseline.
Refs #2296
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* test(#2351): make the C1 orphan-reaping test load-independent
tests/run-with-timeout.test.cjs C1 asserted the child heartbeat file exists
after a 1s group-kill window, but the child only wrote it on the first 100ms
setInterval tick. Nothing synchronized the two: on a loaded container the group
is SIGKILLed before that tick lands, the file never appears, and the assertion
fails for a reason unrelated to reaping. Observed failing on both linux-node22
and linux-node24.
The behavior actually under test is the FREEZE assertion (heartbeat stops
advancing => descendant was reaped, not orphaned). That is unaffected by
sampling once more at t=0.
Child now writes its first heartbeat synchronously at startup before arming the
interval, and the kill window widens 1s -> 3s to cover child boot under load.
Both remove the timing dependency; neither weakens what the test proves.
Refs #2296
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* chore(#2296): backfill pr:2458 in .changeset/rapid-jays-bark.md
* chore(#2296): regenerate fixtures after rebase onto #2402
The rebase conflicted on the generated golden-install-parity fixtures and
workflow-size-baseline.json because #2402 (b6e6a22fc) regenerated the same
artifacts. Conflict resolution picked a side to unblock the rebase; a true
regeneration on the combined tree then produced further drift, confirming the
resolved content was stale and would have dropped #2402's fixture changes.
Regenerated goldens, install-tree, size baseline, and INVENTORY-MANIFEST from
the merged tree. docs/INVENTORY.md keeps BOTH new reference rows.
execute-phase.md is 92782 LF bytes with both #2402's and this PR's extractions
applied — under the frozen ceiling (hard <93600, margin <=93400).
Refs #2296
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <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.