call-chain

Testing & Quality

Traces execution paths through the code graph with criticality scoring and Mermaid charts. Use when understanding how a function propagates through the system.

QUICK START

How to use this skill

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Review the proposed files and risks before you approve installation.

Prompt to paste

I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/analysis/call-chain/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/call-chain/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Call Chain Tracing

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

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

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

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.

Display as indented tree:

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

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

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