msd-core/gsd-core/workflows/review.md

Cross-AI peer review — invoke external AI CLIs to independently review phase plans. Each CLI gets the same prompt (PROJECT.md context, phase plans, requirements) and produces structured feedback. Results are combined into REVIEWS.md for the planner to incorporate via --reviews flag.

This implements adversarial review: different AI models catch different blind spots. A plan that survives review from 2-3 independent AI systems is more robust.

Check which AI CLIs are available on the system:

_GSD_SHIM_NAME="gsd-tools.cjs"; _GSD_RUNTIME_ROOT="${RUNTIME_DIR:-$(git rev-parse --show-toplevel 2>/dev/null || pwd)}"; GSD_TOOLS="${_GSD_RUNTIME_ROOT}/gsd-core/bin/${_GSD_SHIM_NAME}"; if [ -f "$GSD_TOOLS" ]; then gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${_GSD_RUNTIME_ROOT}/.claude/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${_GSD_RUNTIME_ROOT}/.claude/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${_GSD_RUNTIME_ROOT}/.codex/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${_GSD_RUNTIME_ROOT}/.codex/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif command -v gsd-tools >/dev/null 2>&1; then GSD_TOOLS="$(command -v gsd-tools)"; gsd_run() { "$GSD_TOOLS" "$@"; }; elif [ -f "${CLAUDE_CONFIG_DIR:-$HOME/.claude}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${CLAUDE_CONFIG_DIR:-$HOME/.claude}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${HERMES_HOME:-$HOME/.hermes}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${HERMES_HOME:-$HOME/.hermes}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${CURSOR_CONFIG_DIR:-$HOME/.cursor}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${CURSOR_CONFIG_DIR:-$HOME/.cursor}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${CODEX_HOME:-$HOME/.codex}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${CODEX_HOME:-$HOME/.codex}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${GEMINI_CONFIG_DIR:-$HOME/.gemini}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${GEMINI_CONFIG_DIR:-$HOME/.gemini}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${COPILOT_CONFIG_DIR:-$HOME/.copilot}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${COPILOT_CONFIG_DIR:-$HOME/.copilot}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${WINDSURF_CONFIG_DIR:-$HOME/.codeium/windsurf}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${WINDSURF_CONFIG_DIR:-$HOME/.codeium/windsurf}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${AUGMENT_CONFIG_DIR:-$HOME/.augment}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${AUGMENT_CONFIG_DIR:-$HOME/.augment}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${TRAE_CONFIG_DIR:-$HOME/.trae}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${TRAE_CONFIG_DIR:-$HOME/.trae}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${QWEN_CONFIG_DIR:-$HOME/.qwen}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${QWEN_CONFIG_DIR:-$HOME/.qwen}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${CODEBUDDY_CONFIG_DIR:-$HOME/.codebuddy}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${CODEBUDDY_CONFIG_DIR:-$HOME/.codebuddy}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${CLINE_CONFIG_DIR:-$HOME/.cline}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${CLINE_CONFIG_DIR:-$HOME/.cline}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${GROK_AGENTS_HOME:-$HOME/.agents}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${GROK_AGENTS_HOME:-$HOME/.agents}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${ANTIGRAVITY_CONFIG_DIR:-$HOME/.gemini/antigravity}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${ANTIGRAVITY_CONFIG_DIR:-$HOME/.gemini/antigravity}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${OPENCODE_CONFIG_DIR:-${XDG_CONFIG_HOME:-$HOME/.config}/opencode}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${OPENCODE_CONFIG_DIR:-${XDG_CONFIG_HOME:-$HOME/.config}/opencode}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; elif [ -f "${KILO_CONFIG_DIR:-${XDG_CONFIG_HOME:-$HOME/.config}/kilo}/gsd-core/bin/${_GSD_SHIM_NAME}" ]; then GSD_TOOLS="${KILO_CONFIG_DIR:-${XDG_CONFIG_HOME:-$HOME/.config}/kilo}/gsd-core/bin/${_GSD_SHIM_NAME}"; gsd_run() { node "$GSD_TOOLS" "$@"; }; else echo "ERROR: gsd-tools.cjs not found at $GSD_TOOLS and gsd-tools is not on PATH. Run: npx -y @opengsd/gsd-core@latest --claude --local" >&2; exit 1; fi; if [ -n "${CLAUDE_ENV_FILE:-}" ] && [ -n "${GSD_TOOLS:-}" ]; then printf "export PATH='%s':\"\$PATH\"\n" "${GSD_TOOLS%/*}" >> "$CLAUDE_ENV_FILE" 2>/dev/null || true; fi
# Check each CLI
command -v gemini >/dev/null 2>&1 && echo "gemini:available" || echo "gemini:missing"
command -v claude >/dev/null 2>&1 && echo "claude:available" || echo "claude:missing"
command -v codex >/dev/null 2>&1 && echo "codex:available" || echo "codex:missing"
command -v coderabbit >/dev/null 2>&1 && echo "coderabbit:available" || echo "coderabbit:missing"
command -v opencode >/dev/null 2>&1 && echo "opencode:available" || echo "opencode:missing"
command -v qwen >/dev/null 2>&1 && echo "qwen:available" || echo "qwen:missing"
command -v cursor-agent >/dev/null 2>&1 && echo "cursor:available" || echo "cursor:missing"
command -v agy >/dev/null 2>&1 && echo "antigravity:available" || echo "antigravity:missing"

# Check local model servers (OpenAI-compatible HTTP API — no CLI binary required)
OLLAMA_HOST=$(gsd_run query config-get review.ollama_host 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$OLLAMA_HOST" ] || [ "$OLLAMA_HOST" = "null" ]; then OLLAMA_HOST="http://localhost:11434"; fi
curl -s --max-time 2 "${OLLAMA_HOST}/v1/models" >/dev/null 2>&1 && echo "ollama:available" || echo "ollama:missing"

LM_STUDIO_HOST=$(gsd_run query config-get review.lm_studio_host 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$LM_STUDIO_HOST" ] || [ "$LM_STUDIO_HOST" = "null" ]; then LM_STUDIO_HOST="http://localhost:1234"; fi
curl -s --max-time 2 "${LM_STUDIO_HOST}/v1/models" >/dev/null 2>&1 && echo "lm_studio:available" || echo "lm_studio:missing"

LLAMA_CPP_HOST=$(gsd_run query config-get review.llama_cpp_host 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$LLAMA_CPP_HOST" ] || [ "$LLAMA_CPP_HOST" = "null" ]; then LLAMA_CPP_HOST="http://localhost:8080"; fi
curl -s --max-time 2 "${LLAMA_CPP_HOST}/v1/models" >/dev/null 2>&1 && echo "llama_cpp:available" || echo "llama_cpp:missing"

Parse flags from $ARGUMENTS:

• --gemini → include Gemini
• --claude → include Claude
• --codex → include Codex
• --coderabbit → include CodeRabbit
• --opencode → include OpenCode
• --qwen → include Qwen Code
• --cursor → include Cursor
• --agy or --antigravity → include Antigravity CLI
• --ollama → include Ollama (local server, OpenAI-compatible)
• --lm-studio → include LM Studio (local server, OpenAI-compatible)
• --llama-cpp → include llama.cpp (local server, OpenAI-compatible)
• --all → include all available (CLIs + running local servers)
• No flags → if review.default_reviewers is set, include only configured reviewers that are detected; otherwise include all available

Reviewer-selection precedence:

1. Individual reviewer flags (--gemini, --codex, etc.)
2. --all
3. review.default_reviewers
4. No key + no flags → all detected reviewers

review.default_reviewers behavior:

• Value must be a non-empty array of slug strings (configured via gsd config-set review.default_reviewers '["gemini","codex"]')
• Unknown slugs warn and are ignored
• Known-but-undetected slugs emit an info note and are ignored
• If all configured reviewers are unavailable, fail with an actionable message

Reviewer instances (#1517, optional): if review.reviewer_instances is configured, instance names in review.default_reviewers run as independent identities. Resolution rules are in gsd-core/references/reviewer-instances.md — load it lazily only when instances are configured. Unconfigured → default path unchanged.

If no CLIs are available:

No external AI CLIs found. Install at least one:
- gemini: https://github.com/google-gemini/gemini-cli
- codex: https://github.com/openai/codex
- claude: https://github.com/anthropics/claude-code
- opencode: https://opencode.ai (leverages GitHub Copilot subscription models)
- qwen: https://github.com/nicepkg/qwen-code (Alibaba Qwen models)
- cursor: https://cursor.com (Cursor IDE agent mode)
- agy: curl -fsSL https://antigravity.google/cli/install.sh | bash (Antigravity CLI — free with Google credentials)

Then run /gsd:review again.

Exit.

Determine which CLI to skip based on the current runtime environment:

# Environment-based runtime detection (priority order)
if [ "$ANTIGRAVITY_AGENT" = "1" ]; then
  # Antigravity is a separate client — all CLIs are external, skip none
  SELF_CLI="none"
elif [ -n "$CURSOR_SESSION_ID" ]; then
  # Running inside Cursor agent — skip cursor for independence
  SELF_CLI="cursor"
elif [ -n "$CLAUDE_CODE_ENTRYPOINT" ]; then
  # Running inside Claude Code CLI — skip claude for independence
  SELF_CLI="claude"
else
  # Other environments (Gemini CLI, Codex CLI, etc.)
  # Fall back to AI self-identification to decide which CLI to skip
  SELF_CLI="auto"
fi

Rules:

• If SELF_CLI="none" → invoke ALL available CLIs (no skip)
• If SELF_CLI="claude" → skip claude, use gemini/codex
• If SELF_CLI="auto" → the executing AI identifies itself and skips its own CLI
• At least one DIFFERENT CLI must be available for the review to proceed.

Collect phase artifacts for the review prompt:

INIT=$(gsd_run query init.phase-op "${PHASE_ARG}")
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi

Read from init: phase_dir, phase_number, padded_phase.

Then read:

1. .planning/PROJECT.md (first 80 lines — project context)
2. Phase section from .planning/ROADMAP.md
3. All *-PLAN.md files in the phase directory
4. *-CONTEXT.md if present (user decisions)
5. *-RESEARCH.md if present (domain research)
6. .planning/REQUIREMENTS.md (requirements this phase addresses)

Build a structured review prompt:

# Cross-AI Plan Review Request

You are reviewing implementation plans for a software project phase.
Provide structured feedback on plan quality, completeness, and risks.

## Project Context
{first 80 lines of PROJECT.md}

## Phase {N}: {phase name}
### Roadmap Section
{roadmap phase section}

### Requirements Addressed
{requirements for this phase}

### User Decisions (CONTEXT.md)
{context if present}

### Research Findings
{research if present}

### Plans to Review
{all PLAN.md contents}

## Review Instructions

**Verify against source — do not review the plan text in isolation.** The plans reference real files, migrations, routes, and tests in this repo.
1. Open the referenced files and check each claim against the actual code.
2. For every strength or concern, cite concrete `path/to/file:line` evidence plus the mechanism.
3. When a plan asserts a mechanism works (a guard, a query filter, a test that exercises a path), trace whether it actually does what is claimed — do not take the plan's word for it.
4. If you cannot read the repo (no file access), say so and downgrade that finding to an open question rather than asserting it.

Findings citing `file:line` evidence are weighted far more heavily than impressionistic ones; a review that only restates the plan's own claims has low value.

Analyze each plan and provide:

1. **Summary** — One-paragraph assessment
2. **Strengths** — What's well-designed (bullet points)
3. **Concerns** — Potential issues, gaps, risks (bullet points with severity: HIGH/MEDIUM/LOW)
4. **Suggestions** — Specific improvements (bullet points)
5. **Risk Assessment** — Overall risk level (LOW/MEDIUM/HIGH) with justification

Focus on:
- Missing edge cases or error handling
- Dependency ordering issues
- Scope creep or over-engineering
- Security considerations
- Performance implications
- Whether the plans actually achieve the phase goals

Output your review in markdown format.

Write to a temp file: /tmp/gsd-review-prompt-{phase}.md

Also write individual section files so the budget tool can re-trim per reviewer:

# Write individual section files for per-reviewer budget trimming
# These are always written so reviewers with a budget can invoke prompt-budget
cp "$INSTRUCTIONS_BLOCK_FILE" "/tmp/gsd-review-${PHASE}-instructions.md"
cp "$ROADMAP_SECTION_FILE" "/tmp/gsd-review-${PHASE}-roadmap.md"

# Plan files: copy each PLAN.md to a predictable numbered path
PLAN_INDEX=0
for PLAN_FILE in "${PHASE_DIR}"/*-PLAN.md; do
  PADDED_IDX=$(printf '%02d' "$PLAN_INDEX")
  cp "$PLAN_FILE" "/tmp/gsd-review-${PHASE}-plan-${PADDED_IDX}.md"
  PLAN_INDEX=$((PLAN_INDEX + 1))
done

# Optional section files (only if content was included in the combined prompt)
if [ -f ".planning/PROJECT.md" ]; then
  cp .planning/PROJECT.md "/tmp/gsd-review-${PHASE}-project.md"
fi
if ls "${PHASE_DIR}/"*"-CONTEXT.md" >/dev/null 2>&1; then
  cat "${PHASE_DIR}/"*"-CONTEXT.md" > "/tmp/gsd-review-${PHASE}-context.md"
fi
if ls "${PHASE_DIR}/"*"-RESEARCH.md" >/dev/null 2>&1; then
  cat "${PHASE_DIR}/"*"-RESEARCH.md" > "/tmp/gsd-review-${PHASE}-research.md"
fi
if [ -f ".planning/REQUIREMENTS.md" ]; then
  cp .planning/REQUIREMENTS.md "/tmp/gsd-review-${PHASE}-requirements.md"
fi

Note: The variable names above (INSTRUCTIONS_BLOCK_FILE, ROADMAP_SECTION_FILE, PHASE_DIR, PHASE) reference the variables already established during prompt assembly. In practice the AI implementing this step writes the instruction and roadmap blocks to temp files while assembling the combined prompt, then copies those same temp files to the per-reviewer section paths. If the assembled prompt was built inline (string concatenation rather than file-by-file), write each section to the corresponding path after writing the combined file.

Read model preferences from planning config. Null/missing values fall back to CLI defaults.

# JSON scalars from gsd-tools.cjs query; use jq -r to strip JSON string quotes (install jq if missing)
GEMINI_MODEL=$(gsd_run query config-get review.models.gemini 2>/dev/null | jq -r '.' 2>/dev/null || true)
CLAUDE_MODEL=$(gsd_run query config-get review.models.claude 2>/dev/null | jq -r '.' 2>/dev/null || true)
CODEX_MODEL=$(gsd_run query config-get review.models.codex 2>/dev/null | jq -r '.' 2>/dev/null || true)
OPENCODE_MODEL=$(gsd_run query config-get review.models.opencode 2>/dev/null | jq -r '.' 2>/dev/null || true)
# review.models.agy is reserved for future model-pinning support; agy selects its model internally
AGY_MODEL=$(gsd_run query config-get review.models.agy 2>/dev/null | jq -r '.' 2>/dev/null || true)

# #1115: `--dangerously-bypass-hook-trust` only exists on codex-cli >= 0.137.0.
# Capability-probe it so older installs don't fail with "unexpected argument"
# (which, with stderr suppressed, produced a silent empty review). The codex
# invocation works fine without the flag on older versions.
if codex exec --help 2>/dev/null | grep -q -- '--dangerously-bypass-hook-trust'; then
  CODEX_BYPASS_FLAG="--dangerously-bypass-hook-trust"
else
  CODEX_BYPASS_FLAG=""
fi

Reviewer instances (#1517, optional): when instances are configured, each selected instance invokes its base cli with its own model/agent (opaque argv, never shell-interpolated). Exact invocation in gsd-core/references/reviewer-instances.md.

For each selected CLI, invoke in sequence (not parallel — avoid rate limits):

Gemini:

if [ -n "$GEMINI_MODEL" ] && [ "$GEMINI_MODEL" != "null" ]; then
  cat /tmp/gsd-review-prompt-{phase}.md | gemini -m "$GEMINI_MODEL" -p - 2>/dev/null > /tmp/gsd-review-gemini-{phase}.md
else
  cat /tmp/gsd-review-prompt-{phase}.md | gemini -p - 2>/dev/null > /tmp/gsd-review-gemini-{phase}.md
fi

Claude (separate session):

if [ -n "$CLAUDE_MODEL" ] && [ "$CLAUDE_MODEL" != "null" ]; then
  cat /tmp/gsd-review-prompt-{phase}.md | claude --model "$CLAUDE_MODEL" -p - 2>/dev/null > /tmp/gsd-review-claude-{phase}.md
else
  cat /tmp/gsd-review-prompt-{phase}.md | claude -p - 2>/dev/null > /tmp/gsd-review-claude-{phase}.md
fi

Codex:

# $CODEX_BYPASS_FLAG is capability-gated above (#1115). Capture stderr to a .err
# file (not /dev/null) so a non-zero exit — e.g. a flag the installed codex-cli
# does not support — is diagnosable instead of a silent empty review.
# Capture the review via codex's own `-o/--output-last-message <FILE>` (only the
# final agent message) and discard stdout (#1698): on some platforms (Windows)
# codex writes process-teardown output to stdout *after* the final message, and a
# stdout redirect would append that noise to a non-empty file — slipping past the
# `[ ! -s … ]` empty-output guard as a silently polluted review.
if [ -n "$CODEX_MODEL" ] && [ "$CODEX_MODEL" != "null" ]; then
  cat /tmp/gsd-review-prompt-{phase}.md | codex exec --ephemeral $CODEX_BYPASS_FLAG --model "$CODEX_MODEL" --skip-git-repo-check -o /tmp/gsd-review-codex-{phase}.md - 2>/tmp/gsd-review-codex-{phase}.err >/dev/null
else
  cat /tmp/gsd-review-prompt-{phase}.md | codex exec --ephemeral $CODEX_BYPASS_FLAG --skip-git-repo-check -o /tmp/gsd-review-codex-{phase}.md - 2>/tmp/gsd-review-codex-{phase}.err >/dev/null
fi
if [ ! -s /tmp/gsd-review-codex-{phase}.md ]; then
  echo "Codex review failed or returned empty output. stderr:" > /tmp/gsd-review-codex-{phase}.md
  cat /tmp/gsd-review-codex-{phase}.err >> /tmp/gsd-review-codex-{phase}.md
fi

CodeRabbit:

Note: CodeRabbit reviews the current git diff/working tree — it does not accept a prompt or model flag. It may take up to 5 minutes. Use timeout: 360000 on the Bash tool call. The source-grounding requirement in the build_prompt Review Instructions applies only to the prompt-fed reviewers above; CodeRabbit is a diff-only reviewer and never receives it. Treat its output as a diff observation, not a grounded plan-level verdict.

coderabbit review --prompt-only 2>/dev/null > /tmp/gsd-review-coderabbit-{phase}.md

OpenCode (via GitHub Copilot):

OpenCode's default build agent is an agentic coder, not a prompt→completion API. On a large review prompt it may run a few read tool calls and then end its turn with zero output tokens (reason:"stop", output:0), so --format default yields empty stdout and the second reviewer is silently lost (#1936). Invoke with --format json and reconstruct the review from the assistant text parts; if the agent emitted none, surface the stop reason, output-token count, and captured stderr so the failure is diagnosable instead of a generic empty stub. Runs are also nondeterministic in length, so bound this Bash tool call with a wall-clock timeout — set timeout: 660000 on the call (same mechanism the CodeRabbit block documents). That bound is hard: if it fires mid-opencode run the tool kills the command and the jq reconstruction below never runs, so the reviewing agent simply proceeds without an OpenCode result. The completing zero-output case — the actual #1936 bug — is fully handled below; the timeout only backstops the rarer nondeterministic hang. A reviewer instance with "agent": "review" (see gsd-core/references/reviewer-instances.md) sidesteps the default build agent and is the durable fix when this recurs.

# stderr → sidecar (never /dev/null) so a real error is diagnosable — mirrors the
# Codex block. --format json is the primary invocation (not a fallback): the review
# text lives in assistant `text` parts, which the default formatter drops when the
# agent stops with no final message (#1936).
if [ -n "$OPENCODE_MODEL" ] && [ "$OPENCODE_MODEL" != "null" ]; then
  set -- --model "$OPENCODE_MODEL"
else
  set --
fi
cat /tmp/gsd-review-prompt-{phase}.md | opencode run "$@" --format json - 2>/tmp/gsd-review-opencode-{phase}.err > /tmp/gsd-review-opencode-{phase}.json
# Reconstruct the review from the assistant text parts. Capture into a variable and
# test its CONTENT (not the output file's size): an empty extraction still prints a
# trailing newline, which would fool a `[ -s file ]` check into skipping the stub.
OPENCODE_REVIEW=$(jq -rs '[.[] | select(.type=="text") | .part.text // empty] | join("\n")' /tmp/gsd-review-opencode-{phase}.json 2>/dev/null)
if [ -n "$OPENCODE_REVIEW" ]; then
  printf '%s\n' "$OPENCODE_REVIEW" > /tmp/gsd-review-opencode-{phase}.md
else
  # No assistant text (agent emitted no final message, or stdout was not valid JSON events).
  {
    echo "OpenCode review returned no assistant text (#1936: agent ended its turn with no final message)."
    OPENCODE_DIAG=$(jq -rs '[.[] | select(.type=="step_finish")] | last | "stop reason=\(.part.reason // "?"), output tokens=\(.part.tokens.output // "?")"' /tmp/gsd-review-opencode-{phase}.json 2>/dev/null)
    [ -n "$OPENCODE_DIAG" ] && echo "Diagnostic: $OPENCODE_DIAG"
    echo "stderr:"
    cat /tmp/gsd-review-opencode-{phase}.err
  } > /tmp/gsd-review-opencode-{phase}.md
fi

Qwen Code:

cat /tmp/gsd-review-prompt-{phase}.md | qwen - 2>/dev/null > /tmp/gsd-review-qwen-{phase}.md
if [ ! -s /tmp/gsd-review-qwen-{phase}.md ]; then
  echo "Qwen review failed or returned empty output." > /tmp/gsd-review-qwen-{phase}.md
fi

Cursor:

# cursor-agent is a SEPARATE binary from the `cursor` IDE launcher; print mode (-p) takes the
# prompt as an ARGUMENT, not stdin. A full review prompt can exceed the OS argument limit, so
# reference the prompt file by path rather than inlining it. Capture stderr so a failure is
# diagnosable instead of a silent empty result.
CURSOR_PROMPT_ARG="Read the file at /tmp/gsd-review-prompt-{phase}.md in full and carry out the review request it contains. Output only the resulting markdown review. Do not edit any files."
cursor-agent -p --mode ask --trust --output-format text "$CURSOR_PROMPT_ARG" 2>/tmp/gsd-review-cursor-{phase}.err > /tmp/gsd-review-cursor-{phase}.md
if [ ! -s /tmp/gsd-review-cursor-{phase}.md ]; then
  echo "Cursor review failed or returned empty output. stderr:" > /tmp/gsd-review-cursor-{phase}.md
  cat /tmp/gsd-review-cursor-{phase}.err >> /tmp/gsd-review-cursor-{phase}.md
fi

Antigravity CLI:

Maintainer note — why this block has three layers (last updated against agy 1.0.2):

agy -p (the --print non-interactive flag) works correctly on macOS and Linux: it sends the prompt, receives the model response, and writes it to stdout. On native Windows it silently produces no stdout output despite the API call succeeding — a bug in text_drip.go's non-TTY flush path, tracked at https://github.com/google-antigravity/antigravity-cli/issues/27466 and still open as of agy 1.0.2.

Regardless of platform, agy always persists the full exchange to a transcript file on disk. The transcript fallback (Step 2 below) reads that file directly, giving Windows users full review coverage without any extra tooling. This pattern was first documented by the community MCP bridge at https://github.com/SinanTufekci/Claude-Code-Antigravity-CLI-MCP-Server — we inline the same logic here in pure bash/jq so no additional dependency is required.

Stale-response guard (why the pre-flight watermark matters): Without a watermark, the fallback would read the last PLANNER_RESPONSE entry in the transcript regardless of when it was written — including entries from a previous invocation in the same workspace. To prevent that, we record the transcript's line count before calling agy -p. In the fallback, we only read lines appended after that count. If no new lines were written (agy failed before producing a response), _AGY_RESULT is empty and Step 3 fires — never stale. If the conv-id changed (agy started a fresh session), all lines in the new file are new and we use skip=0.

If the upstream stdout bug is fixed (check the issue above): Step 2 silently becomes unreachable; stdout is non-empty and Step 1 handles it. No code change needed.

If the transcript paths change in a future agy release: Step 2 silently becomes a no-op and Step 3 fires with a clear error message in REVIEWS.md. No silent corruption. To debug:

• ~/.gemini/antigravity-cli/cache/last_conversations.json — workspace → conv-id map
• ~/.gemini/antigravity-cli/brain/<id>/.system_generated/logs/transcript.jsonl Filter: source=="MODEL", status=="DONE", type=="PLANNER_RESPONSE", take the last match's content field.

Invocation specifics (verified agy 1.0.0, macOS arm64 and Linux amd64):

• -p takes the prompt as a flag value — echo X | agy -p errors with "flag needs an argument: -p"
• --print-timeout defaults to 5m, aligning with this workflow's global timeout
• No -m / --model flag — agy selects the model internally

# Pre-flight: snapshot the transcript watermark before invoking agy.
# Must run BEFORE agy -p — this is what prevents the fallback from reading a stale prior response.
_AGY_WS=$(git rev-parse --show-toplevel 2>/dev/null || pwd)
_AGY_CACHE="$HOME/.gemini/antigravity-cli/cache/last_conversations.json"
_AGY_MARK_CONV=""
_AGY_MARK_LINES=0
if [ -f "$_AGY_CACHE" ]; then
  _AGY_MARK_CONV=$(jq -r --arg ws "$_AGY_WS" '
    .[$ws] //
    (to_entries
     | map(select(.key | ascii_downcase == ($ws | ascii_downcase)))
     | first | .value) //
    empty
  ' "$_AGY_CACHE" 2>/dev/null)
  if [ -n "$_AGY_MARK_CONV" ] && [ "$_AGY_MARK_CONV" != "null" ]; then
    _AGY_MARK_TX="$HOME/.gemini/antigravity-cli/brain/${_AGY_MARK_CONV}/.system_generated/logs/transcript.jsonl"
    [ -f "$_AGY_MARK_TX" ] && _AGY_MARK_LINES=$(wc -l < "$_AGY_MARK_TX" | tr -d ' ')
  fi
fi

# Step 1 — primary invocation: stdout works on macOS, Linux, and WSL.
# Bound the run with agy's OWN `--print-timeout` (issue #687). On a large,
# file-path-rich prompt agy's agentic Cascade can loop on its code_search/grep
# steps and never converge; `--print-timeout` is agy's native cap for print mode
# (defaults to 5m — see maintainer note above), so we pass it explicitly to let a
# stalled run self-terminate through the tool's own mechanism. A non-zero exit
# (timeout or crash) discards any partial output so the Step 2 transcript fallback
# / Step 3 stub take over.
agy --print-timeout 300s -p "$(cat /tmp/gsd-review-prompt-{phase}.md)" 2>/dev/null > /tmp/gsd-review-antigravity-{phase}.md
_AGY_RC=$?
if [ "$_AGY_RC" -ne 0 ]; then
  : > /tmp/gsd-review-antigravity-{phase}.md
fi

# Step 2 — transcript fallback: catches Windows agy -p stdout bug (and any future stdout-silent edge cases).
# Reads only lines appended AFTER the pre-flight watermark. If agy failed before writing a new response,
# _AGY_RESULT is empty and Step 3 fires — no stale content can leak through.
# Undocumented paths, verified agy 1.0.0–1.0.2. See maintainer note above if these break.
if [ ! -s /tmp/gsd-review-antigravity-{phase}.md ]; then
  if [ -f "$_AGY_CACHE" ]; then
    _AGY_CONV=$(jq -r --arg ws "$_AGY_WS" '
      .[$ws] //
      (to_entries
       | map(select(.key | ascii_downcase == ($ws | ascii_downcase)))
       | first | .value) //
      empty
    ' "$_AGY_CACHE" 2>/dev/null)
    if [ -n "$_AGY_CONV" ] && [ "$_AGY_CONV" != "null" ]; then
      _AGY_TX="$HOME/.gemini/antigravity-cli/brain/${_AGY_CONV}/.system_generated/logs/transcript.jsonl"
      if [ -f "$_AGY_TX" ]; then
        # If conv-id changed, agy started a new session — all lines are new, skip 0.
        # If same conv-id, only read lines beyond the watermark.
        [ "$_AGY_CONV" = "$_AGY_MARK_CONV" ] && _AGY_SKIP=$_AGY_MARK_LINES || _AGY_SKIP=0
        _AGY_RESULT=$(tail -n +"$((_AGY_SKIP + 1))" "$_AGY_TX" 2>/dev/null | \
          jq -r 'select(.source=="MODEL" and .status=="DONE" and .type=="PLANNER_RESPONSE") | .content' \
          2>/dev/null | tail -1)
        [ -n "$_AGY_RESULT" ] && echo "$_AGY_RESULT" > /tmp/gsd-review-antigravity-{phase}.md
      fi
    fi
  fi
fi

# Step 3 — final guard: both approaches yielded nothing (auth error, first-run setup, path schema changed, etc.)
if [ ! -s /tmp/gsd-review-antigravity-{phase}.md ]; then
  echo "Antigravity review failed or returned empty output." > /tmp/gsd-review-antigravity-{phase}.md
fi

Ollama (local, OpenAI-compatible):

Read host and model from config. All three local backends share the same /v1/chat/completions endpoint — only host and model differ. Use jq --rawfile to safely encode the multi-line prompt as JSON without shell-escaping issues.

# Shared helper: apply prompt-budget trimming for local reviewers
prepare_trimmed_prompt_for_reviewer() {
  REVIEWER_KEY="$1"
  REVIEWER_BUDGET="$2"
  OUTPUT_PROMPT="$3"
  OUTPUT_META="$4"

  [ -z "$REVIEWER_BUDGET" ] && return 0
  [ "$REVIEWER_BUDGET" = "null" ] && return 0
  [ "$REVIEWER_BUDGET" = "0" ] && return 0

  PLAN_FILE_ARGS=""
  for p in /tmp/gsd-review-{phase}-plan-*.md; do
    [ -f "$p" ] && PLAN_FILE_ARGS="$PLAN_FILE_ARGS --plan-file $p"
  done
  PROJECT_ARG=""
  [ -f "/tmp/gsd-review-{phase}-project.md" ] && PROJECT_ARG="--project-file /tmp/gsd-review-{phase}-project.md"
  CONTEXT_ARG=""
  [ -f "/tmp/gsd-review-{phase}-context.md" ] && CONTEXT_ARG="--context-file /tmp/gsd-review-{phase}-context.md"
  RESEARCH_ARG=""
  [ -f "/tmp/gsd-review-{phase}-research.md" ] && RESEARCH_ARG="--research-file /tmp/gsd-review-{phase}-research.md"
  REQUIREMENTS_ARG=""
  [ -f "/tmp/gsd-review-{phase}-requirements.md" ] && REQUIREMENTS_ARG="--requirements-file /tmp/gsd-review-{phase}-requirements.md"

  gsd_run query prompt-budget \
    --budget "$REVIEWER_BUDGET" \
    --instructions-file "/tmp/gsd-review-{phase}-instructions.md" \
    --roadmap-file "/tmp/gsd-review-{phase}-roadmap.md" \
    $PLAN_FILE_ARGS $PROJECT_ARG $CONTEXT_ARG $RESEARCH_ARG $REQUIREMENTS_ARG \
    --output-prompt "$OUTPUT_PROMPT" \
    --output-metadata "$OUTPUT_META"
  return $?
}

# Resolve prompt budget for Ollama: per-reviewer override > global default > null
OLLAMA_REVIEWER_BUDGET=$(gsd_run query config-get review.max_prompt_tokens_per_reviewer.ollama 2>/dev/null | jq -r '.' 2>/dev/null || echo "null")
if [ -z "$OLLAMA_REVIEWER_BUDGET" ] || [ "$OLLAMA_REVIEWER_BUDGET" = "null" ]; then
  OLLAMA_REVIEWER_BUDGET=$(gsd_run query config-get review.max_prompt_tokens 2>/dev/null | jq -r '.' 2>/dev/null || echo "null")
fi

# Apply budget trim for Ollama if a budget is configured
OLLAMA_PROMPT_FILE="/tmp/gsd-review-prompt-{phase}.md"
OLLAMA_SKIP=0
if [ -n "$OLLAMA_REVIEWER_BUDGET" ] && [ "$OLLAMA_REVIEWER_BUDGET" != "null" ] && [ "$OLLAMA_REVIEWER_BUDGET" != "0" ]; then
  OLLAMA_TRIMMED_PROMPT="/tmp/gsd-review-prompt-{phase}-ollama.md"
  OLLAMA_TRIM_META="/tmp/gsd-review-prompt-{phase}-ollama.metadata.json"
  prepare_trimmed_prompt_for_reviewer "ollama" "$OLLAMA_REVIEWER_BUDGET" "$OLLAMA_TRIMMED_PROMPT" "$OLLAMA_TRIM_META"
  OLLAMA_EXIT=$?
  if [ $OLLAMA_EXIT -ne 0 ]; then
    if [ $OLLAMA_EXIT -eq 2 ] || [ $OLLAMA_EXIT -eq 11 ]; then
      echo "WARNING: prompt budget for ollama (${OLLAMA_REVIEWER_BUDGET} tokens) is too small for the minimum review set. Skipping Ollama reviewer." >&2
    else
      echo "WARNING: prompt-budget returned unexpected exit code ${OLLAMA_EXIT} for ollama. Skipping Ollama reviewer." >&2
    fi
    OLLAMA_SKIP=1
  else
    OLLAMA_PROMPT_FILE="$OLLAMA_TRIMMED_PROMPT"
  fi
fi

if [ "$OLLAMA_SKIP" != "1" ]; then
OLLAMA_HOST=$(gsd_run query config-get review.ollama_host 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$OLLAMA_HOST" ] || [ "$OLLAMA_HOST" = "null" ]; then OLLAMA_HOST="http://localhost:11434"; fi
OLLAMA_MODEL=$(gsd_run query config-get review.models.ollama 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$OLLAMA_MODEL" ] || [ "$OLLAMA_MODEL" = "null" ]; then
  OLLAMA_MODEL=$(curl -s --max-time 2 "${OLLAMA_HOST}/v1/models" 2>/dev/null | jq -r '.data[0].id // "llama3"' 2>/dev/null || echo "llama3")
fi
jq -n --rawfile content "$OLLAMA_PROMPT_FILE" \
  --arg model "$OLLAMA_MODEL" \
  '{model: $model, messages: [{role: "user", content: $content}]}' | \
  curl -s --max-time 120 -X POST "${OLLAMA_HOST}/v1/chat/completions" \
    -H "Content-Type: application/json" -d @- 2>/dev/null | \
  jq -r '.choices[0].message.content // "Ollama review failed or returned empty output."' \
  > /tmp/gsd-review-ollama-{phase}.md
if [ ! -s /tmp/gsd-review-ollama-{phase}.md ]; then
  echo "Ollama review failed or returned empty output." > /tmp/gsd-review-ollama-{phase}.md
fi
fi

LM Studio (local, OpenAI-compatible):

# Resolve prompt budget for LM Studio: per-reviewer override > global default > null
LM_STUDIO_REVIEWER_BUDGET=$(gsd_run query config-get review.max_prompt_tokens_per_reviewer.lm_studio 2>/dev/null | jq -r '.' 2>/dev/null || echo "null")
if [ -z "$LM_STUDIO_REVIEWER_BUDGET" ] || [ "$LM_STUDIO_REVIEWER_BUDGET" = "null" ]; then
  LM_STUDIO_REVIEWER_BUDGET=$(gsd_run query config-get review.max_prompt_tokens 2>/dev/null | jq -r '.' 2>/dev/null || echo "null")
fi

# Apply budget trim for LM Studio if a budget is configured
LM_STUDIO_PROMPT_FILE="/tmp/gsd-review-prompt-{phase}.md"
LM_STUDIO_SKIP=0
if [ -n "$LM_STUDIO_REVIEWER_BUDGET" ] && [ "$LM_STUDIO_REVIEWER_BUDGET" != "null" ] && [ "$LM_STUDIO_REVIEWER_BUDGET" != "0" ]; then
  LM_STUDIO_TRIMMED_PROMPT="/tmp/gsd-review-prompt-{phase}-lm_studio.md"
  LM_STUDIO_TRIM_META="/tmp/gsd-review-prompt-{phase}-lm_studio.metadata.json"
  prepare_trimmed_prompt_for_reviewer "lm_studio" "$LM_STUDIO_REVIEWER_BUDGET" "$LM_STUDIO_TRIMMED_PROMPT" "$LM_STUDIO_TRIM_META"
  LM_STUDIO_EXIT=$?
  if [ $LM_STUDIO_EXIT -ne 0 ]; then
    if [ $LM_STUDIO_EXIT -eq 2 ] || [ $LM_STUDIO_EXIT -eq 11 ]; then
      echo "WARNING: prompt budget for lm_studio (${LM_STUDIO_REVIEWER_BUDGET} tokens) is too small for the minimum review set. Skipping LM Studio reviewer." >&2
    else
      echo "WARNING: prompt-budget returned unexpected exit code ${LM_STUDIO_EXIT} for lm_studio. Skipping LM Studio reviewer." >&2
    fi
    LM_STUDIO_SKIP=1
  else
    LM_STUDIO_PROMPT_FILE="$LM_STUDIO_TRIMMED_PROMPT"
  fi
fi

if [ "$LM_STUDIO_SKIP" != "1" ]; then
LM_STUDIO_HOST=$(gsd_run query config-get review.lm_studio_host 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$LM_STUDIO_HOST" ] || [ "$LM_STUDIO_HOST" = "null" ]; then LM_STUDIO_HOST="http://localhost:1234"; fi
LM_STUDIO_MODEL=$(gsd_run query config-get review.models.lm_studio 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$LM_STUDIO_MODEL" ] || [ "$LM_STUDIO_MODEL" = "null" ]; then
  LM_STUDIO_MODEL=$(curl -s --max-time 2 "${LM_STUDIO_HOST}/v1/models" 2>/dev/null | jq -r '.data[0].id // "local-model"' 2>/dev/null || echo "local-model")
fi
LM_STUDIO_RESPONSE=$(jq -n --rawfile content "$LM_STUDIO_PROMPT_FILE" \
  --arg model "$LM_STUDIO_MODEL" \
  '{model: $model, messages: [{role: "user", content: $content}]}' | \
  curl -s --max-time 120 -X POST "${LM_STUDIO_HOST}/v1/chat/completions" \
    -H "Content-Type: application/json" -d @- 2>/dev/null)
LM_STUDIO_ACTUAL_MODEL=$(echo "$LM_STUDIO_RESPONSE" | jq -r '.model // ""' 2>/dev/null || echo "")
if [ -n "$LM_STUDIO_ACTUAL_MODEL" ] && [ "$LM_STUDIO_ACTUAL_MODEL" != "null" ] && [ "$LM_STUDIO_ACTUAL_MODEL" != "$LM_STUDIO_MODEL" ]; then
  echo "Warning: LM Studio served model '$LM_STUDIO_ACTUAL_MODEL' but '$LM_STUDIO_MODEL' was requested. Review may be from a different model." >&2
fi
LM_STUDIO_CONTENT=$(echo "$LM_STUDIO_RESPONSE" | jq -r '.choices[0].message.content // ""' 2>/dev/null || echo "")
if [ -n "$LM_STUDIO_CONTENT" ]; then
  echo "$LM_STUDIO_CONTENT" > /tmp/gsd-review-lm_studio-{phase}.md
else
  echo "Warning: LM Studio returned empty content — skipping review." >&2
fi
fi

llama.cpp (local, OpenAI-compatible):

# Resolve prompt budget for llama.cpp: per-reviewer override > global default > null
LLAMA_CPP_REVIEWER_BUDGET=$(gsd_run query config-get review.max_prompt_tokens_per_reviewer.llama_cpp 2>/dev/null | jq -r '.' 2>/dev/null || echo "null")
if [ -z "$LLAMA_CPP_REVIEWER_BUDGET" ] || [ "$LLAMA_CPP_REVIEWER_BUDGET" = "null" ]; then
  LLAMA_CPP_REVIEWER_BUDGET=$(gsd_run query config-get review.max_prompt_tokens 2>/dev/null | jq -r '.' 2>/dev/null || echo "null")
fi

# Apply budget trim for llama.cpp if a budget is configured
LLAMA_CPP_PROMPT_FILE="/tmp/gsd-review-prompt-{phase}.md"
LLAMA_CPP_SKIP=0
if [ -n "$LLAMA_CPP_REVIEWER_BUDGET" ] && [ "$LLAMA_CPP_REVIEWER_BUDGET" != "null" ] && [ "$LLAMA_CPP_REVIEWER_BUDGET" != "0" ]; then
  LLAMA_CPP_TRIMMED_PROMPT="/tmp/gsd-review-prompt-{phase}-llama_cpp.md"
  LLAMA_CPP_TRIM_META="/tmp/gsd-review-prompt-{phase}-llama_cpp.metadata.json"
  prepare_trimmed_prompt_for_reviewer "llama_cpp" "$LLAMA_CPP_REVIEWER_BUDGET" "$LLAMA_CPP_TRIMMED_PROMPT" "$LLAMA_CPP_TRIM_META"
  LLAMA_CPP_EXIT=$?
  if [ $LLAMA_CPP_EXIT -ne 0 ]; then
    if [ $LLAMA_CPP_EXIT -eq 2 ] || [ $LLAMA_CPP_EXIT -eq 11 ]; then
      echo "WARNING: prompt budget for llama_cpp (${LLAMA_CPP_REVIEWER_BUDGET} tokens) is too small for the minimum review set. Skipping llama.cpp reviewer." >&2
    else
      echo "WARNING: prompt-budget returned unexpected exit code ${LLAMA_CPP_EXIT} for llama_cpp. Skipping llama.cpp reviewer." >&2
    fi
    LLAMA_CPP_SKIP=1
  else
    LLAMA_CPP_PROMPT_FILE="$LLAMA_CPP_TRIMMED_PROMPT"
  fi
fi

if [ "$LLAMA_CPP_SKIP" != "1" ]; then
LLAMA_CPP_HOST=$(gsd_run query config-get review.llama_cpp_host 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$LLAMA_CPP_HOST" ] || [ "$LLAMA_CPP_HOST" = "null" ]; then LLAMA_CPP_HOST="http://localhost:8080"; fi
LLAMA_CPP_MODEL=$(gsd_run query config-get review.models.llama_cpp 2>/dev/null | jq -r '.' 2>/dev/null || echo "")
if [ -z "$LLAMA_CPP_MODEL" ] || [ "$LLAMA_CPP_MODEL" = "null" ]; then
  LLAMA_CPP_MODEL=$(curl -s --max-time 2 "${LLAMA_CPP_HOST}/v1/models" 2>/dev/null | jq -r '.data[0].id // "local-model"' 2>/dev/null || echo "local-model")
fi
LLAMA_CPP_CONTENT=$(jq -n --rawfile content "$LLAMA_CPP_PROMPT_FILE" \
  --arg model "$LLAMA_CPP_MODEL" \
  '{model: $model, messages: [{role: "user", content: $content}]}' | \
  curl -s --max-time 120 -X POST "${LLAMA_CPP_HOST}/v1/chat/completions" \
    -H "Content-Type: application/json" -d @- 2>/dev/null | \
  jq -r '.choices[0].message.content // ""' 2>/dev/null || echo "")
if [ -n "$LLAMA_CPP_CONTENT" ]; then
  echo "$LLAMA_CPP_CONTENT" > /tmp/gsd-review-llama_cpp-{phase}.md
else
  echo "Warning: llama.cpp returned empty content — skipping review." >&2
fi
fi

If a CLI or local server fails, log the error and continue with remaining reviewers.

Display progress:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 GSD ► CROSS-AI REVIEW — Phase {N}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

◆ Reviewing with {CLI}... done ✓
◆ Reviewing with {CLI}... done ✓

Combine all review responses into `{phase_dir}/{padded_phase}-REVIEWS.md`:

After all reviewers complete, collect trim metadata files written during the run. For each reviewer that was trimmed (i.e. a .metadata.json file exists and hardFailed or omitted is non-empty, or projectMdShrunk is true, or planTruncationPct > 0), include a trimmed_reviewers block in the frontmatter. Omit the key entirely if no reviewer was trimmed.

Reviewer instances (#1517, optional): when instances ran, frontmatter records their names, each gets its own ## <Adapter> Review (<instance>) section, and ≥2 same-cli instances print a one-line shared-adapter caveat. Format in gsd-core/references/reviewer-instances.md.

---
phase: {N}
reviewers: [gemini, claude, codex, coderabbit, opencode, qwen, cursor, antigravity, ollama, lm_studio, llama_cpp]  # populate at runtime with only the reviewers actually invoked
reviewed_at: {ISO timestamp}
plans_reviewed: [{list of PLAN.md files}]
trimmed_reviewers:        # only present if at least one reviewer was trimmed
  ollama:
    budget: 6000
    effective_budget: 5400
    estimated_tokens: 5380
    omitted: [context, research]
    project_md_shrunk: true
    plan_truncation_pct: 22
    hard_failed: false
    note_injected: true
---

# Cross-AI Plan Review — Phase {N}

## Gemini Review

{gemini review content}

---

## Claude Review

{claude review content}

---

## Codex Review

{codex review content}

---

## CodeRabbit Review

{coderabbit review content}

---

## OpenCode Review

{opencode review content}

---

## OpenCode Review (opencode-deepseek)

{opencode-deepseek instance review content — only present when this instance was selected}

---

## OpenCode Review (opencode-mimo)

{opencode-mimo instance review content — only present when this instance was selected}

---

## Qwen Review

{qwen review content}

---

## Cursor Review

{cursor review content}

---

## Antigravity Review

{antigravity review content}

---

## Ollama Review

{ollama review content}

---

## LM Studio Review

{lm_studio review content}

---

## llama.cpp Review

{llama_cpp review content}

---

## Consensus Summary

{synthesize common concerns across all reviewers. CodeRabbit is a diff-only reviewer (it never received the source-grounding prompt), so do not weight its verdict as a grounded plan review — fold in its diff findings, but base plan-level consensus on the prompt-fed reviewers.}

### Agreed Strengths
{strengths mentioned by 2+ reviewers}

### Agreed Concerns
{concerns raised by 2+ reviewers — highest priority}

### Divergent Views
{where reviewers disagreed — worth investigating}

Commit:

gsd_run query commit "docs: cross-AI review for phase {N}" --files {phase_dir}/{padded_phase}-REVIEWS.md

Display summary:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 GSD ► REVIEW COMPLETE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Phase {N} reviewed by {count} AI systems.

Consensus concerns:
{top 3 shared concerns}

Full review: {padded_phase}-REVIEWS.md

To incorporate feedback into planning:
  /gsd:plan-phase {N} --reviews

Clean up temp files.

<success_criteria>

• At least one external CLI invoked successfully
• REVIEWS.md written with structured feedback
• Consensus summary synthesized from multiple reviewers
• Temp files cleaned up
• User knows how to use feedback (/gsd:plan-phase --reviews) </success_criteria>