93e141a006
* enhance(#4404): add offline token benchmark for compact-content splits ADR-4139 Decision 2 requires the finite-attention justification for workflow.compact_content to be measured, not asserted. `npm run benchmark:compact-content` computes, per registered spine/detail split discovered under gsd-core/workflows/, the token count with the split active (spine alone) vs inactive (spine + all detail parts read back in), using gpt-tokenizer (pinned exact devDependency — Anthropic publishes no tokenizer for Claude 3+, so every output surface labels this a PROXY-TOKENIZER comparison: the on/off delta is exact under one tokenizer applied identically to both sides, the absolute counts are not Claude's real ones). Reporting-only by design and verified so: --check diffs the live recompute against a committed baseline (tests/fixtures/compact-content-benchmark-baseline.json) and prints drift, but never exits non-zero for a drifted or missing baseline — the only thing allowed to fail this script is a genuine I/O error reading a source .md file it's measuring. Not wired into lint:ci or pretest. Discovery is deliberately reimplemented rather than importing tests/helpers/compact-content-split.cjs (Phase 3, #4403), keeping a scripts/ reporting tool from depending on a test-only module. tests/fixtures/deny-network.cjs preloads via NODE_OPTIONS=--require to prove the benchmark makes no network call, monkeypatching http/https/ net/dns/fetch to throw rather than relying on sandboxing. docs/CONFIGURATION.md documents the new benchmark against the workflow.compact_content key to satisfy this repo's docs-required gate for an Added-type changeset. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * fix(#4404): address orthogonal review findings on the token benchmark Standards axis found two hard violations against documented rules: - CLAUDE.md's Generative Fix Divergence rule requires a parity assertion for shared discovery logic maintained in two places. Added a test comparing benchmark-compact-content.cjs's own discoverRegisteredSplits against tests/helpers/compact-content-split.cjs's version on the real repo tree, so the two can never silently drift apart. - The changeset body closed its bold span with a period and continued as a second sentence, instead of the canonical `**<phrase>** — <explanation>.` shape CONTRIBUTING.md documents. Spec axis found the "network disabled + identical output across two runs" Done-when criterion was verified as two separate properties (determinism tested without network denial, offline survival tested as a single run) rather than as one combined property. Added a test that runs the benchmark twice under the deny-network preload and asserts byte-identical stdout. Security axis found tests/fixtures/deny-network.cjs didn't patch dns.promises (a separate binding from the callback dns API), tls.connect, or http2.connect — inert today since nothing in the benchmark calls them, but a silent gap in what the preload's own header claims to guarantee. Patched all three. CLAUDE.md's Property-Based Testing rule also requires a fast-check test for budget-limit arithmetic; added one for computeAggregate's off/on summation (true sum over N splits, never NaN/Infinity, never exceeds 100% when off >= on for every split). Standards axis's remaining two findings (a Data Clumps observation on the {offTokens, onTokens, reductionPct} triple, and mild duplication in formatDriftReport's three line-formatters) are left as judgement calls: introducing a named type for a 3-field local tuple, or a formatter abstraction for three short lines, would be exactly the premature abstraction CLAUDE.md's engineering guidance warns against for a script this size. All changes verified directly (parity logic, the fast-check property, and the three newly-denied network surfaces actually throwing under the preload) via node -e before committing; full npm run lint:ci passes with the eslint cache cleared. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * docs(#4404): backfill changeset pr number to 4502 Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> --------- Co-authored-by: sim <sim@local> Co-authored-by: Claude Sonnet 5 <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.