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* feat(verify-phase): honest verifier — abstain (insufficient_spec) on non-inferable backstop truths (#1154) Carry the edge-probe's existing `backstop` (non-inferable) tier through the plan-phase projection as a structured flat-scalar marker instead of a prose parenthetical, and make verify-phase abstain -> human_needed (never silent-pass) on a backstop truth it cannot confirm with explicit evidence. Truth-axis mirror of #644's prohibition judgment-tier (ADR-550 D4). Engine (deterministic, CI-tested per ADR-550 D5 — never the LLM verdict): - src/probe-core.cts: truthStatement/truthVerification normalizers, projectTruths (conservative serializer), dispositionForUnverifiableTruth (backstop+no-evidence -> unverified/flagged/insufficient_spec; backstop+evidence -> green; inferable -> green, the over-abstention guard). - src/roadmap.cts: coerceTruthToString now reads `statement` first so an object-form backstop truth is surfaced, not dropped (Hyrum backward-compat for truth-readers). Workflow/agent/docs: plan-phase emits the structured marker (flat scalar, ADR-550 #1278); verify-phase + gsd-verifier add the abstain arm; new references/honest-verifier.md; FEATURES/COMMANDS document insufficient_spec; ADR-550 amended (truth-axis D4 mirror). Decisions adopted (trek-e review): insufficient_spec feeds existing human_needed with a distinguishable reason (no new VERIFIER_STATUS); changeset Changed; round-trip parity test; abstain-on-unconfirmed-backstop regression test red-first. Implementation notes (deviations from the issue's proposed file list, verified live): - frontmatter.cts needs no change — its flat parser already round-trips object-form truths. - verify.cts needs no change — it grades artifacts/key_links structurally; truths are LLM-graded at the workflow layer, so consumption lives there + the deterministic helper. - No CJS<->SDK hand-sync — the SDK seam was retired (ADR-0174); src/*.cts is sole source. Regenerated artifacts: golden-install-parity fixtures, INVENTORY-MANIFEST, size baselines. * chore(#1154): add changeset (Changed) for honest verifier User-facing changelog fragment for #1738. Typed `Changed` (not `Added`) per trek-e review condition 3 — the verify behavior shifts for backstop-bearing specs (a confident silent `passed` becomes `human_needed`), which is user-visible even though the schema marker is additive. * docs(#1154): score-formula also excludes abstained insufficient_spec truths (review nit-1) trek-e review nit: the verify-phase score sentence said PRESENT_BEHAVIOR_UNVERIFIED truths were "the only ones excluded" from verified_truths. Post-#1154 an abstained `insufficient_spec` backstop truth is also excluded (it is not ✓ VERIFIED and routes to human_needed). Behavior was already correct; this tightens the wording. Regenerated golden-install-parity fixtures + workflow-size baseline for the touched verify-phase.md. (Nit-2 — a dedicated insufficient_spec_items frontmatter list — is intentionally not taken: the current design is ADR-550-D4-conformant, the abstain cause rides as a distinguishable report reason, and adding it would exceed the approved scope.) --------- Co-authored-by: Tom Boucher <trekkie@nomorestars.com>
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, Gemini 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, Gemini 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, Gemini 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 your first project:
/gsd-new-project
New here? Follow Your first project for a guided walkthrough from install to first shipped phase.
Documentation
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.