troubleshoot-zymtrace-profiler

troubleshoot-zymtrace-profiler is a skill for Claude Code from zystem-io/zymtrace-skills. It costs 180 tokens per session (4,382 once invoked), scanned B, original, Apache-2.0.

A troubleshooting guide for the zymtrace profiler agent, the process that collects performance data and sends it to the backend.

In plain words
What is it for?
Diagnosing Kubernetes pod failures, CPU-versus-GPU profiling problems, missing NVIDIA Management Library files, missing low-level GPU samples, and profiler license errors.
Why use it?
It helps identify whether the agent is crashing, cannot download its image, runs out of memory, cannot find NVIDIA libraries, or cannot produce GPU data.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: positional $N argument; mentions Claude Code; mentions Codex.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the zymtrace plugin — 10 skills, 1 agent shipped together

Good fit Diagnosing Kubernetes pod failures, CPU-versus-GPU profiling problems, missing NVIDIA Management Library files, missing low-level GPU samples, and profiler license errors.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add zystem-io/zymtrace-skills
Claude Code
/plugin install zymtrace

Made for: Claude Code.

Or install zymtrace, the plugin that ships this one along with the rest of its 10 skills, 1 agent.

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 troubleshoot-zymtrace-profiler

README.md
[![agentmods](https://agentmods.dev/badge/skills/zystem-io/zymtrace-skills/troubleshoot-zymtrace-profiler/github.svg)](https://agentmods.dev/skills/zystem-io/zymtrace-skills/troubleshoot-zymtrace-profiler)
Your own site
<a href="https://agentmods.dev/skills/zystem-io/zymtrace-skills/troubleshoot-zymtrace-profiler"><img src="https://agentmods.dev/badge/skills/zystem-io/zymtrace-skills/troubleshoot-zymtrace-profiler/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for troubleshoot-zymtrace-profiler

Your own site · 80×15
<a href="https://agentmods.dev/skills/zystem-io/zymtrace-skills/troubleshoot-zymtrace-profiler"><img src="https://agentmods.dev/badge/skills/zystem-io/zymtrace-skills/troubleshoot-zymtrace-profiler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,382 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00180 $0.04382
Opus 5 $0.00090 $0.02191
Sonnet 5 $0.00036 $0.00876
Haiku 4.5 $0.00018 $0.00438

Measured 12d ago against content hash 717afb0bf4fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

troubleshoot-zymtrace-profiler scanned grade B with 1 finding 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/diagnose-agent-not-reporting.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

Fix: either remount debugfs on the host (`sudo mount -t debugfs none /sys/kernel/debug` — node-side, not in skill), or accept that CPU profiling won't work on those nodes and `nodeSelector`-exclude them.
zymtrace/skills/troubleshoot-zymtrace-profiler/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Troubleshoot zymtrace Profiler

Helps the user diagnose problems with the profiler agent — the DaemonSet (or Docker / binary) that ships profiles to the backend. Backend / ClickHouse / ingest problems live in troubleshoot-zymtrace-backend. If the customer's symptom is "the UI is empty" without a clearer signal, route there instead — it covers the cross-cutting "no data" diagnostic across both sides.

Greet the user

Open warmly. Diagnostic conversations start frustrated.

👋 Sorry the profiler isn't behaving — let's track it down. Tell me what you're seeing (e.g. "agent pods CrashLoopBackOff", "CPU profiles arrive but no GPU traces", "OOMKilled every 5 min", "license rejected") and I'll walk the diagnosis with you.

Need a human?

Once the agent is healthy again, connect the zymtrace MCP to your agent (Claude Code, Codex, or Cursor) — see configure-zymtrace-mcp — to analyze GPU + CPU flamegraphs in natural language. Docs: https://docs.zymtrace.com/mcp

If the user already named a symptom, skip the prompt and jump to the matching section below.

Pre-flight

Claude runs
helm version --short && kubectl version --client
kubectl cluster-info | head -2
helm list -A | grep -iE 'profiler.*zymtrace|zymtrace.*profiler'

If the profiler release isn't installed at all, that's not a "troubleshoot" — route to install-zymtrace-profiler.

Pre-resolve what you can

Recommend defaults zymtrace / profiler. Resolve the customer's actual values first. Full policy: shared/conventions.md. Commands below use <NS> / <REL> / <PREFIX> placeholders.

Variable Resolve by
Profiler release + namespace helm list -A | grep -iE 'profiler.*zymtrace|zymtrace.*profiler'
global.namePrefix (drives DaemonSet name) helm get values <REL> -n <NS> | awk '/^\s*namePrefix:/ {print $2}' (defaults to zymtrace)
Backend release (for cross-cluster context) helm list -A | grep -iE 'backend.*zymtrace'
GPU profiling enabled? helm get values <REL> -n <NS> | grep -A1 cudaProfiler | grep enabled
Current values (so any fix re-applies cleanly) helm get values <REL> -n <NS>

Read the full file on GitHub · 318 lines

Files

What ships with it

1 file 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. 12d ago First seen · 318 lines · 180 tokens per session scan B 717afb0bf4fd

Subscribe to this mod's changes

troubleshoot-zymtrace-profiler is a skill published in the GitHub repository zystem-io/zymtrace-skills (5 stars, last pushed 29d ago), licensed Apache-2.0. It adds 180 tokens to every session and 4,382 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

test-amplification

Methodical bug-driven test amplification for pygraphistry features. Use when hardening a feature area via user-workflow exploration, 5-Whys retrospectives, bug-taxonomy derivation, concrete test planning, implementation, and safety-gated validation.

graphistry/pygraphistry · 56 tokens

cuda-kernel-optimizer

Use when optimizing or diagnosing GPU workload performance with CUDA, CUTLASS, Triton, PyTorch, vLLM or TensorRT-LLM; interpreting NCU, Nsys or PyTorch Profiler evidence; or preparing the workload and correctness checks for such optimization. General coding, skill maintenance and conceptual GPU questions do not…

troycheng/cuda-kernel-optimizer · 77 tokens

fix-ci

Fix CI failures and performance regressions for a Julia package PR by iterating - triage the latest CI results, fix one root cause, verify locally, push. Use when a PR's GitHub Actions or Buildkite CI is failing, or when CI jobs run slower than they do on the main branch. Verifies CPU and GPU compilation locally…

CliMA/ClimaCore.jl · 84 tokens

fix-ci

Fix CI failures and performance regressions for a Julia package PR by iterating - triage the latest CI results, fix one root cause, verify locally, push. Use when a PR's GitHub Actions or Buildkite CI is failing, or when CI jobs run slower than they do on the main branch. Verifies CPU and GPU compilation locally…

CliMA/SurfaceFluxes.jl · 84 tokens

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens