golem: Skill for Claude Code

.agents/skills/investigating-benchmark-performance/SKILL.md

investigating-benchmark-performance is a skill for Claude Code, Codex from golemcloud/golem. It costs 48 tokens per session (3,371 once invoked), scanned C, original, no licence file.

A guide for examining benchmark performance 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 Golem benchmarks with tracing enabled, following benchmark calls, and measuring the duration of their individual steps.
Why use it?
It helps identify what makes a benchmark slow and shows where time is spent during a run.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is golemcloud/golem's own configuration. It tells Claude Code and Codex how to work on golem itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything golem configures →

Reuse

Borrowing it

Nothing to install: this file belongs to golemcloud/golem. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/golemcloud/golem/main/.agents/skills/investigating-benchmark-performance/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/golemcloud/golem

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 investigating-benchmark-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/golemcloud/golem/investigating-benchmark-performance/github.svg)](https://agentmods.dev/skills/golemcloud/golem/investigating-benchmark-performance)
Your own site
<a href="https://agentmods.dev/skills/golemcloud/golem/investigating-benchmark-performance"><img src="https://agentmods.dev/badge/skills/golemcloud/golem/investigating-benchmark-performance/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 investigating-benchmark-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/golemcloud/golem/investigating-benchmark-performance"><img src="https://agentmods.dev/badge/skills/golemcloud/golem/investigating-benchmark-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,371 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00048 $0.03371
Opus 5.5 $0.00019 $0.01348
Sonnet 5.5 $0.00010 $0.00674
Haiku 4.5 $0.00005 $0.00337

Measured 1mo ago against content hash 70a81838400c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

investigating-benchmark-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 1mo 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.

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-benchmark-performance/SKILL.md · 340 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 1mo ago Changed · +12 lines 70a81838400c
  2. 2mo ago First seen · 328 lines · 48 tokens per session scan C 46563bd62a4f

Subscribe to this mod's changes

investigating-benchmark-performance is a skill published in the GitHub repository golemcloud/golem (1,523 stars, last pushed yesterday), with no licence file. It adds 48 tokens to every session and 3,371 once invoked, about $0.0002 per session on Opus 5.5. 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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