Function Call Tracing

Function Call Tracing is a skill for Claude Code, Codex from gadievron/raptor. It costs 22 tokens per session (781 once invoked), scanned A, original, no licence file.

A function-call tracing setup for C and C++ using compiler instrumentation and Perfetto, a tool for viewing timelines of program activity.

In plain words
What is it for?
Use it to record C or C++ function execution and view the resulting trace in Perfetto.
Why use it?
It helps reveal which functions run and when, making execution behaviour easier to inspect.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/gadievron/raptor/function-tracing
Any agent
npx skills add gadievron/raptor --skill function-tracing
Clone the repo
git clone --depth 1 https://github.com/gadievron/raptor

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Function Call Tracing

README.md
[![agentmods](https://agentmods.dev/badge/skills/gadievron/raptor/function-tracing.svg)](https://agentmods.dev/skills/gadievron/raptor/function-tracing)
Your own site
<a href="https://agentmods.dev/skills/gadievron/raptor/function-tracing"><img src="https://agentmods.dev/badge/skills/gadievron/raptor/function-tracing.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 781 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00022 $0.00781
Opus 5 $0.00011 $0.00391
Sonnet 5 $0.00004 $0.00156
Haiku 4.5 $0.00002 $0.00078

Measured 4d ago against content hash 70caa18c454a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Function Call Tracing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/crash-analysis/function-tracing/SKILL.md · 117 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 117 lines · 22 tokens per session scan A 70caa18c454a

Subscribe to this mod's changes

Function Call Tracing is a skill published in the GitHub repository gadievron/raptor (3,706 stars, last pushed 2d ago), with no licence file. It adds 22 tokens to every session and 781 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

trulens-instrumentation

Instrument LLM apps with TruLens OTEL-based tracing - from setup to debugging and optimization.

truera/trulens · 25 tokens

opentelemetry-docs

OpenTelemetry — vendor-neutral observability: traces, metrics, logs, OTLP, Collector, SDKs, semantic conventions.

pledgeandgrow/pledge-skills · 32 tokens

phoenix-cli

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding…

Arize-ai/openinference · 113 tokens

python-code-reviewer

Review Python OpenInference instrumentation code for correctness and completeness. Use this skill when reviewing a Python instrumentor package — whether it's a new instrumentor, a PR that modifies one, or when the user asks to audit/review/check an existing instrumentor's code quality. Trigger on phrases like "review…

Arize-ai/openinference · 100 tokens

genai-conformance

Run, interpret, and iterate on the OpenInference GenAI conformance MVP at python/openinference-instrumentation/scripts/conformance/. Use when the user mentions GenAI conformance, OTel GenAI semantic conventions, Weaver registry live-check, the dual-write conversion (genaiconversion.py, enablegenaisemconv), genai.…

Arize-ai/openinference · 95 tokens

java-code-reviewer

Review Java OpenInference instrumentation code for correctness and completeness. Use this skill when reviewing a Java instrumentor package — whether it's a new instrumentor, a PR that modifies one, or when the user asks to audit/review/check an existing instrumentor's code quality. Trigger on phrases like "review the…

Arize-ai/openinference · 101 tokens