fetch

Fetch Skill

Retrieve the exact source of a named symbol. Read 20 lines instead of 800.

Usage

Called with a symbol name, e.g.: validateToken, AuthService, getUserById, Invoice

Step 1 — Look up in index

# Read the index
cat .claude/codemunch/index.json | python3 -c "
import json, sys
idx = json.load(sys.stdin)
name = '$SYMBOL_NAME'
matches = [s for s in idx['symbols'] if s['name'].lower() == name.lower()]
print(json.dumps(matches, indent=2))
" 2>/dev/null

# Or with jq if available
jq --arg n "$SYMBOL_NAME" '[.symbols[] | select(.name | ascii_downcase == ($n | ascii_downcase))]' \
  .claude/codemunch/index.json 2>/dev/null

If no index exists: the staleness-gate skill will have already built it before this skill runs.

If multiple matches (e.g. overloaded methods or same name in different files), show a disambiguation list and ask which one.

Step 2 — Extract the symbol source

Use the start_line and end_line from the index entry to read only those lines:

FILE="src/auth/tokens.ts"
START=142
END=163

# Add a few lines of context before (for decorators, comments, annotations)
CONTEXT_BEFORE=3
ACTUAL_START=$((START - CONTEXT_BEFORE))
[ $ACTUAL_START -lt 1 ] && ACTUAL_START=1

sed -n "${ACTUAL_START},${END}p" "$FILE"

Token count for this operation: ~20-40 tokens Token count for reading the full file: ~5,000-15,000 tokens

Step 3 — Enrich with LSP (when available)

If LSP is configured for this language, additionally fetch:

Hover information — type signature, documentation:

Use Claude Code's /lsp tool:
  textDocument/hover
  position: { line: START_LINE, character: 0 }

Type signature — already in index if built with LSP, but refresh if stale

Find references count — how many places call this symbol:

Use /lsp:
  textDocument/references (just count, don't fetch all)

Step 4 — Display

Show the symbol in this format:

📍 validateToken  [function]  src/auth/tokens.ts:142-163
   Engine: LSP  |  Signature: validateToken(token: string): Promise<User | null>
   Container: AuthService  |  References: 14
   ─────────────────────────────────────────
   [source code lines 139-163]
   ─────────────────────────────────────────
   Tokens used: ~35  (vs ~8,400 to read full file — 99.6% savings)