call-chain

name	call-chain
role	library
description	Traces execution paths through the code graph with criticality scoring and Mermaid charts. Use when understanding how a function propagates through the system.

Call Chain Tracing

Trace execution flows through the codebase using the code knowledge graph.

When NOT To Use

• Static import relationships (use cartograph:dependency-graph)
• Scoring the risk of a change (use pensive:blast-radius)

Prerequisites

This skill requires the gauntlet plugin for graph data. Discover it:

GRAPH_QUERY=$(find ~/.claude/plugins -name "graph_query.py" -path "*/gauntlet/*" 2>/dev/null | head -1)

If gauntlet is not installed: Fall back to static analysis. Use grep to trace function calls and build a Mermaid diagram manually from import/call patterns. Skip graph-specific steps.

If installed but no graph.db: Tell the user to run /gauntlet-graph build.

Steps

1. Accept target: Get a function name or entry point from the user (or trace all entry points).

2. Run flow tracing (requires gauntlet):

   python3 "$GRAPH_QUERY" --action flows --depth 15
   

   To filter by entry point:

   python3 "$GRAPH_QUERY" --action flows --entry "main"
   

   Fallback (no gauntlet): Trace calls with rg (or grep):

   # Prefer rg (ripgrep) for speed; fall back to grep
   if command -v rg &>/dev/null; then
     rg -n "function_name\(" --type py . | head -20
   else
     grep -rn "function_name(" --include="*.py" . | head -20
   fi
   

   Build the call tree manually from search results.

3. Display as indented tree:

   main() [criticality: 0.72]
     -> validate_input()
       -> parse_config()
     -> process_data()
       -> db.execute_query()
       -> cache.store()
     -> send_response()
   

4. Generate Mermaid flowchart:

   flowchart LR
     main --> validate_input
     main --> process_data
     main --> send_response
     validate_input --> parse_config
     process_data --> db.execute_query
     process_data --> cache.store
   

5. Show criticality breakdown:

   • File spread: how many files the flow touches
   • Security sensitivity: auth/crypto code in the path
   • Test coverage gaps: untested nodes in the flow

Criticality Scoring

Factor	Weight	Meaning
File spread	0.30	Touches many files
Security	0.25	Contains auth/crypto code
External calls	0.20	Unresolved dependencies
Test gap	0.15	Untested nodes in flow
Depth	0.10	Deep call chains

Exit Criteria

• Indented call tree displayed for the target function with criticality scores in the form [criticality: N.NN]
• Mermaid flowchart LR generated with edges representing each caller-to-callee relationship in the traced path
• Criticality breakdown table shown covering: file spread, security sensitivity, external calls, test gap, and depth
• If gauntlet is not installed, fallback to static rg/grep analysis is used and the absence of graph data is noted
• If gauntlet is installed but graph.db is absent, user is told to run /gauntlet-graph build before the skill halts