review-prep

name	review-prep
description	Given a PR number or diff, synthesize spec-driven diagram, emergent diagram, and impact analysis into a structured insight: block for the reviewer. Shows what the PR proposes, what the code actually does, the gap between them, and blast radius of changed symbols. Output is local reviewer context — never posted to GitHub.
allowed-tools	Bash,Read,Glob,Grep,mcp__mache__*
argument-hint	<pr-number-or-repo#N> [repo-path]

review-prep — Structural Pre-flight for PR Review

Produce the reviewer's local structural context before analysis agents run. This output is local only — never include it in a GitHub review.

Arguments

$ARGUMENTS — <pr-number-or-repo#N> [repo-path]

• First arg: PR number (e.g. 123) or owner/repo#N (e.g. myorg/myrepo#123)
• Second arg (optional): local path to the repo checkout

What To Do

Step 1: Get changed files

# Parse PR ref
if echo "$PR_ARG" | grep -q '#'; then
  REPO=$(echo "$PR_ARG" | cut -d'#' -f1)
  PR_NUM=$(echo "$PR_ARG" | cut -d'#' -f2)
  CHANGED_FILES=$(gh pr diff "$PR_NUM" --repo "$REPO" --name-only 2>/dev/null)
else
  PR_NUM="$PR_ARG"
  CHANGED_FILES=$(gh pr diff "$PR_NUM" --name-only 2>/dev/null)
fi

If $CHANGED_FILES is empty, report:

status: unavailable
reason: could not fetch PR diff — check gh auth and PR number

Stop here.

Step 2: Determine scope directory

Find the lowest common ancestor of changed .go files:

GO_FILES=$(echo "$CHANGED_FILES" | grep '\.go$')
if [ -z "$GO_FILES" ]; then
  echo "status: unavailable"
  echo "reason: no Go files changed in this PR — review-prep targets Go codebases"
  exit 0
fi
SCOPE_DIR=$(echo "$GO_FILES" | xargs -I{} dirname {} | sort -u | \
  python3 -c "
import sys
dirs = [d.strip() for d in sys.stdin.readlines()]
if not dirs: exit(1)
common = dirs[0]
for d in dirs[1:]:
    while not d.startswith(common):
        common = '/'.join(common.split('/')[:-1])
        if not common: common = '.'; break
print(common)
" 2>/dev/null || echo ".")

# If repo-path arg was provided, prefix scope
REPO_PATH="${2:-}"
if [ -n "$REPO_PATH" ]; then
  SCOPE="$REPO_PATH/$SCOPE_DIR"
else
  SCOPE="$SCOPE_DIR"
fi

Step 3: Start emergent mache server (port 7532)

MACHE_BIN=$(which mache 2>/dev/null || echo "$HOME/go/bin/mache")
if [ ! -x "$MACHE_BIN" ]; then
  echo "status: unavailable — mache binary not found"
  exit 0
fi

RUNNING=$(curl -s --max-time 5 -X POST http://localhost:7532/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"check","version":"1"}}}' \
  | python3 -c "import sys,json; d=json.load(sys.stdin); print('RUNNING' if 'result' in d and 'error' not in d else 'NOT_RUNNING')" 2>/dev/null || echo "NOT_RUNNING")

if [ "$RUNNING" = "NOT_RUNNING" ]; then
  $MACHE_BIN serve "$SCOPE" --http localhost:7532 &
  EMERGENT_PID=$!
  for i in $(seq 1 10); do
    sleep 1
    curl -s --max-time 2 -X POST http://localhost:7532/mcp \
      -H "Content-Type: application/json" \
      -H "Accept: application/json, text/event-stream" \
      -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"check","version":"1"}}}' \
      | python3 -c "import sys,json; d=json.load(sys.stdin); exit(0) if 'result' in d else exit(1)" 2>/dev/null && break
    if [ $i -eq 10 ]; then
      kill $EMERGENT_PID 2>/dev/null
      echo "status: unavailable — emergent server failed to start"
      exit 0
    fi
  done
fi

SESSION=$(curl -s -X POST http://localhost:7532/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"review-prep","version":"1"}}}' \
  -D - 2>/dev/null | grep -i "^mcp-session-id:" | tr -d '\r' | awk -F': ' '{print $2}' | tr -d ' ')

Step 4: Get emergent diagram

Follow the diagram-gen-emergent pattern: call get_diagram (compact=true, layout=LR, exclude_tests=true) and get_communities on the running server. Store results as EMERGENT_OUTPUT.

If get_diagram returns "No cross-references", set EMERGENT_STATUS=unavailable.

Step 5: Find spec-driven diagram (if schema exists)

Look for a mache schema in the PR's changed files:

SCHEMA=$(echo "$CHANGED_FILES" | grep -E "(schema\.json|mache\.json|\.schema\.json)" | head -1)
if [ -n "$SCHEMA" ] && [ -n "$REPO_PATH" ]; then
  SCHEMA_PATH="$REPO_PATH/$SCHEMA"
fi

If schema found: follow the diagram-gen-spec pattern — start a server on port 7534 with --schema "$SCHEMA_PATH", call get_architecture and get_diagram, store as SPEC_OUTPUT. Stop that server when done.

If no schema found: set SPEC_OUTPUT="schema not found in PR changed files or repo root".

Step 6: Get high-fan-in symbols via get_architecture

ARCH=$(curl -s -X POST http://localhost:7532/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: $SESSION" \
  -d '{"jsonrpc":"2.0","id":4,"method":"tools/call","params":{"name":"get_architecture","arguments":{}}}' \
  | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['result']['content'][0]['text'])" 2>/dev/null)

Extract the most_referenced symbol list from the architecture output.

Step 7: Identify changed symbols and select top candidates for impact

CHANGED_SYMS=$(gh pr diff "$PR_NUM" ${REPO:+--repo "$REPO"} | \
  grep '^+' | grep -E '^\+(func |type |var |const )' | \
  sed 's/^+//' | awk '{print $2}' | sed 's/(.*$//' | head -5)

# Prioritize symbols that appear in most_referenced (highest fan-in)
# Fall back to raw changed symbols if no overlap
PRIORITIZED_SYMS=$(comm -12 <(echo "$MOST_REFERENCED" | tr ' ' '\n' | sort) <(echo "$CHANGED_SYMS" | tr ' ' '\n' | sort) | head -5)
if [ -z "$PRIORITIZED_SYMS" ]; then
  PRIORITIZED_SYMS=$(echo "$CHANGED_SYMS" | head -5)
fi

Cross-reference with most_referenced from get_architecture. Select the top 3-5 symbols that appear in most_referenced, or the top 3-5 by frequency in the diff if none match.

Step 8: Call get_impact on selected symbols (max 5)

For each symbol in $PRIORITIZED_SYMS (loop, not parallel):

for SYM in $PRIORITIZED_SYMS; do
IMPACT=$(curl -s -X POST http://localhost:7532/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: $SESSION" \
  -d "{\"jsonrpc\":\"2.0\",\"id\":5,\"method\":\"tools/call\",\"params\":{\"name\":\"get_impact\",\"arguments\":{\"symbol\":\"$SYM\",\"max_depth\":2}}}" \
  | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['result']['content'][0]['text'])" 2>/dev/null)
done

Collect caller counts. Flag any symbol with >20 unique callers as high blast radius. Deduplicate: if two symbols share >50% of their callers, note it and merge their blast radius counts.

Step 9: Write drift analysis

If both spec and emergent are available: compare their cluster labels and edge patterns. Write 1-3 sentences.

• Example: "The schema proposes clean layering but the emergent diagram shows dense coupling between persistence and service layers — 6 cross-cluster edges where the spec shows 0."

If spec unavailable: drift: N/A — no schema found in PR

Step 10: Write insights (max 8)

Think as a senior engineer. Pick the observations that matter most — do not enumerate mechanically:

Examples of good insights:

• "kind moves from a sparsely-used cluster into the most central cluster — increases blast radius of future kind-related changes"
• "OrgSettings would be largely depopulated after this change — worth reconsidering whether the table/cluster is still needed"
• "3 symbols have >20 callers — behavioral correctness agent should trace these paths first"

Step 11: Emit structured output

## Structural Pre-flight

status: available

### Spec-driven (proposed)
<SPEC_OUTPUT or "schema not found in PR changed files or repo root">

### Emergent (actual)
<EMERGENT_OUTPUT or "unavailable — <reason>">

### Drift
<drift analysis or "N/A — no schema found">

### Impact
high_blast_radius:
  - symbol: <name>, callers: <N>, clusters: [C0, C3]
changed_clusters: [<list of cluster IDs containing changed symbols>]

### Insights
  - "<observation>"
  - "<observation>"

Total output: under 400 words plus the two Mermaid blocks.

If both diagrams unavailable, emit the short sentinel and stop:

if [ "$EMERGENT_STATUS" = "unavailable" ] && [ -z "$SPEC_OUTPUT" -o "$SPEC_STATUS" = "unavailable" ]; then
  echo "## Structural Pre-flight"
  echo "status: unavailable"
  echo "reason: mache could not index this repo — proceeding without structural context is safe"
  exit 0
fi