add-tests
Generate tests for a completed phase based on UAT criteria and implementation
Request cross-AI peer review of phase plans from external AI CLIs
> /plugin marketplace add open-gsd/gsd-core > /plugin install gsd-core@gsd-core
How it fires
How this command gets triggered: by you, by Claude, or both.
/reviewContext preview
What this command does when you run it.
Request cross-AI peer review of phase plans from external AI CLIs
name: gsd:review description: Request cross-AI peer review of phase plans from external AI CLIs argument-hint: "--phase N [--claude] [--codex] [--opencode] [--qwen] [--cursor] [--agy] [--all]" allowed-tools: - Read - Write - Bash - Glob - Grep requires: [config, phase, plan-phase]
<objective> Invoke external AI CLIs (Claude, Codex, OpenCode, Qwen Code, Cursor, Antigravity) to independently review phase plans. Produces a structured REVIEWS.md with per-reviewer feedback that can be fed back into planning via /gsd:plan-phase --reviews.
**Flow:** Detect CLIs → Build review prompt → Invoke each CLI → Collect responses → Write REVIEWS.md </objective>
<execution_context> @~/.claude/gsd-core/workflows/review.md </execution_context>
<context> Phase number: extracted from $ARGUMENTS (required)
**Flags:**
**No flags** — if `review.default_reviewers` is set, review with only those configured reviewers that are detected; otherwise review with all available CLIs. Configured `review.reviewer_instances` names may appear in `review.default_reviewers`; each runs as an independent reviewer identity backed by its configured adapter+model (see `docs/CONFIGURATION.md`). Instance names are not valid as flags. </context>
<process> Execute end-to-end. </process>
Git. Ship. Done. 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.
Repo: open-gsd/gsd-core
Generate tests for a completed phase based on UAT criteria and implementation
Generate an AI-SPEC.md design contract for phases that involve building AI systems.
Autonomous audit-to-fix pipeline — find issues, classify, fix, test, commit
Audit milestone completion against original intent before archiving
Cross-phase audit of all outstanding UAT and verification items
Run all remaining phases autonomously — discuss→plan→execute per phase