Rezolv e87fb409ee enhance(#2573): stamp STATE.md with its commit and surface a freshness hint (#2622)
* enhance(#2573): stamp STATE.md with its commit and surface a commit-age freshness hint

Adds a `state_head` stamp to STATE.md and derives a tri-state commit-age
freshness proxy (state_commits_behind / state_commit_stale) through
state.cjs's readStateHeadFreshness, surfaced on smart-entry signals and as
health W024. The proxy is advisory: classify() deliberately does NOT consume
it (ADR-1787 locks the classification/routing boundary — a signal, not a route).

Composes with #3099 and #1882 (both merged to next after this branch): the
commit-age proxy reads `state_head` while the LAST_ACTIVITY_UNPARSEABLE
diagnostic reads `last_activity` — two different fields, not "two staleness
signals on one field." A new regression test asserts a STATE.md carrying both
an unparseable last_activity AND a valid state_head resolves each independently
(diagnostic fires once; freshness reads state_head, commits_behind 0).

Rebased onto next (flattened): resolved the add/add conflicts in
src/smart-entry.cts (kept both the #2573 freshness import/derivation and the
#3099 diagnostic import/call) and tests/smart-entry.unit.test.cjs (kept both
describe blocks). Drift-ack for health.md's W024 row is unchanged (12348 B).
Tests: smart-entry 62, state/state-transition/health/verify 639, all pass.

* chore(#2573): allowlist health-validation test in the prompt-injection scan

The scanner's `exec('` code-execution pattern matches the benign
`re.exec('<phase-id>')` RegExp method calls in the phase-ID grammar tests
(pre-existing: 16 such calls on next, this PR adds none). The file entered the
diff-mode scan's changed-file set only because #2573's W024 state_head
assertions touch it. Allowlist it alongside the other test files that carry
pattern-matching content as data (same DEFECT.PROMPT-INJECTION-SCAN-COLLISION
class). Scanner self-test 38/0; diff scan 14 files, 0 findings.
2026-08-11 17:10:23 -04:00

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.

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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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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