FU

function-call-tracing

Instruments C/C++ code for deep execution tracing and visualization.

Install

mkdir -p .claude/skills/function-call-tracing && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4716" && unzip -o skill.zip -d .claude/skills/function-call-tracing && rm skill.zip

Installs to .claude/skills/function-call-tracing

Activation

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Instrument C/C++ with -finstrument-functions for execution tracing and Perfetto visualisation
93 charsno explicit “when” trigger
Advanced

Key capabilities

  • →Instrument C/C++ function calls
  • →Capture per-thread execution logs
  • →Convert logs to Perfetto JSON format
  • →Visualize call stacks in Perfetto UI

How it works

The tool uses compiler instrumentation to inject entry and exit hooks into functions, logs these events per thread, and converts the logs into a format readable by the Perfetto UI.

Inputs & outputs

You give it
C/C++ source code
You get back
Perfetto-compatible trace JSON file

When to use function-call-tracing

  • →Tracing function execution flow
  • →Profiling C/C++ application performance
  • →Visualizing call stacks in Perfetto

About this skill

Function Call Tracing

Purpose

Trace all function calls in C/C++ programs with per-thread logs and Perfetto visualization.

Containment

The traced project is untrusted — its build scripts and the produced binary execute arbitrary code. Every command that runs the target's build system or the instrumented binary goes through libexec/raptor-run-sandboxed --output-dir <dir> <cmd> [args...] (--output-dir = the directory the command writes into: the project tree for builds, the working directory for runs). The sandbox strips loader variables (LD_LIBRARY_PATH, LD_PRELOAD) by design; the instrumented link bakes an rpath instead, so the sandboxed run resolves libtrace.so with no loader variable. If a sandboxed step fails, fix the sandboxed path — never run the target bare. Building the instrumentation library itself (RAPTOR's own skill sources) needs no sandbox.

Components

1. Instrumentation Library (trace_instrument.c)

Captures function entry/exit, writes per-thread logs.

Build:

gcc -c -fPIC trace_instrument.c -o trace_instrument.o
gcc -shared trace_instrument.o -o libtrace.so -ldl -lpthread

2. Perfetto Converter (trace_to_perfetto.cpp)

Converts logs to Chrome JSON for Perfetto UI.

Build:

g++ -O3 -std=c++17 trace_to_perfetto.cpp -o trace_to_perfetto

Usage

Step 1: Add to Build

LIBTRACE_DIR is the absolute directory holding libtrace.so; the -Wl,-rpath makes the binary find it at run time inside the sandbox (which strips LD_LIBRARY_PATH).

CFLAGS += -finstrument-functions -g
LDFLAGS += -L$(LIBTRACE_DIR) -Wl,-rpath,$(LIBTRACE_DIR) -ltrace -ldl -lpthread

Step 2: Build Target (sandboxed — the build scripts are untrusted)

libexec/raptor-run-sandboxed --output-dir <project-dir> make ENABLE_TRACE=1

Step 3: Run (sandboxed; the rpath resolves libtrace.so — no loader variable)

libexec/raptor-run-sandboxed --output-dir <working-dir> <project-dir>/program
# Creates trace_<tid>.log files

Step 4: Convert to Perfetto (sandboxed — the log bytes came from the untrusted target, and the converter is native code)

libexec/raptor-run-sandboxed --output-dir <working-dir> ./trace_to_perfetto trace_*.log -o trace.json
# Open trace.json in ui.perfetto.dev

Log Format

[seq] [timestamp] [dots] [ENTRY|EXIT!] function_name
[0] [1.000000000]  [ENTRY] main
[1] [1.000050000] . [ENTRY] helper
[2] [1.000100000] . [EXIT!] helper
[3] [1.000150000]  [EXIT!] main
  • Dots indicate call depth
  • Timestamp in seconds.nanoseconds
  • One log file per thread

When User Requests Tracing

Steps

  1. Copy trace_instrument.c and trace_to_perfetto.cpp to project
  2. Build instrumentation library
  3. Add -finstrument-functions to CFLAGS
  4. Add -L$(LIBTRACE_DIR) -Wl,-rpath,$(LIBTRACE_DIR) -ltrace -ldl -lpthread to LDFLAGS
  5. Build project via libexec/raptor-run-sandboxed --output-dir <project-dir> ...
  6. Run the instrumented binary via libexec/raptor-run-sandboxed --output-dir <working-dir> ... (the rpath resolves libtrace.so)
  7. Convert logs via libexec/raptor-run-sandboxed --output-dir <working-dir> ./trace_to_perfetto trace_*.log -o trace.json (untrusted log bytes into a native parser)
  8. Provide link to ui.perfetto.dev

Build System Detection

Makefile: Add flags conditionally

ENABLE_TRACE ?= 0
ifeq ($(ENABLE_TRACE),1)
    CFLAGS += -finstrument-functions -g
    LDFLAGS += -L$(LIBTRACE_DIR) -Wl,-rpath,$(LIBTRACE_DIR) -ltrace -ldl -lpthread
endif

CMake: Add option

option(ENABLE_TRACE "Enable tracing" OFF)
if(ENABLE_TRACE)
    add_compile_options(-finstrument-functions -g)
    link_directories(${LIBTRACE_DIR})
    add_link_options(-Wl,-rpath,${LIBTRACE_DIR})
    link_libraries(trace dl pthread)
endif()

Output

Perfetto JSON Format

Function ENTRY → "B" (begin) event Function EXIT! → "E" (end) event All threads aligned by timestamp in single file.

When not to use it

  • →Tracing non-C/C++ applications
  • →Profiling in production environments with strict performance requirements

Prerequisites

gccg++perfetto UI

Limitations

  • →Instrumentation adds overhead to execution
  • →Requires recompilation of the target application

How it compares

This provides a visual call stack trace for C/C++ applications instead of relying on manual log analysis.

Compared to similar skills

function-call-tracing side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
function-call-tracing (this skill)16moReviewAdvanced
debug-lldb19moReviewIntermediate
benchmark-kernel19moReviewAdvanced
analyze-kernel-bottleneck03moReviewAdvanced

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