investigating-executor-performance

A guide for examining how worker executors perform by recording detailed timing data and viewing it in Jaeger, a tool for inspecting requests as they move through a system.

In plain words
What is it for?
Running executor tests with tracing enabled, following executor calls, and checking how long individual operations take.
Why use it?
It helps locate slow tests and understand which parts of an executor call take the most time.

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/golemcloud/golem/investigating-executor-performance
Any agent
npx skills add golemcloud/golem --skill investigating-executor-performance
Clone the repo
git clone --depth 1 https://github.com/golemcloud/golem

Made for: Claude Code, Codex.

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,730 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00046 $0.02730
Opus 5 $0.00023 $0.01365
Sonnet 5 $0.00009 $0.00546
Haiku 4.5 $0.00005 $0.00273

Measured today against content hash 77cd080eef5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

investigating-executor-performance scanned grade C with 2 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 today.

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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -s 'http://localhost:16686/api/services' | python3 -m json.tool

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s 'http://localhost:16686/api/services' | python3 -m json.tool
.agents/skills/investigating-executor-performance/SKILL.md · 263 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

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. today Changed · +5 lines 77cd080eef5c
  2. 3d ago First seen · 258 lines · 46 tokens per session scan C ef1ebe356962

Subscribe to this mod's changes

investigating-executor-performance is a skill published in the GitHub repository golemcloud/golem (1,509 stars, last pushed today), with no licence file. It adds 46 tokens to every session and 2,730 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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