sbk-distributed-benchmark-runner

sbk-distributed-benchmark-runner is a skill for Codex from kmgowda/SBK. It costs 105 tokens per session (1,094 once invoked), scanned A, original, Apache-2.0.

Plan, configure, run, and diagnose distributed Storage Benchmark Kit workloads using standalone SBM, SBK-GEM, or SBK-GEM-YAL. Use when an agent must generate load from multiple hosts, aggregate manually launched SBK GrpcLogger clients, validate SSH/passwordless login and host keys, reconcile remote Java/SBK…

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md; $skill-name invocation.

Install with agentmods
npx agentmods add skills/kmgowda/sbk/sbk-distributed-benchmark-runner
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.

Any agent
npx skills add kmgowda/SBK --skill sbk-distributed-benchmark-runner
Clone the repo
git clone --depth 1 https://github.com/kmgowda/SBK

Made for: 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 sbk-distributed-benchmark-runner

README.md
[![agentmods](https://agentmods.dev/badge/skills/kmgowda/sbk/sbk-distributed-benchmark-runner/github.svg)](https://agentmods.dev/skills/kmgowda/sbk/sbk-distributed-benchmark-runner)
Your own site
<a href="https://agentmods.dev/skills/kmgowda/sbk/sbk-distributed-benchmark-runner"><img src="https://agentmods.dev/badge/skills/kmgowda/sbk/sbk-distributed-benchmark-runner/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/kmgowda/sbk/sbk-distributed-benchmark-runner"><img src="https://agentmods.dev/badge/skills/kmgowda/sbk/sbk-distributed-benchmark-runner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,094 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00105 $0.01094
Opus 5.5 $0.00042 $0.00438
Sonnet 5.5 $0.00021 $0.00219
Haiku 4.5 $0.00011 $0.00109

Measured today against content hash 5cdef77f5339, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sbk-distributed-benchmark-runner 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 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.

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.

.devin/skills/sbk-distributed-benchmark-runner/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SBK Distributed Benchmark Runner

Follow the repository-wide safety and verification rules in AGENTS.md. If diagnosis leads to a proposed code change, read docs/HOT_PATHS.md. Remote SBK and SBM contain the measurement hot paths; SBK-GEM itself is lifecycle/orchestration critical. Obtain the exact explicit approval required by that inventory before adding work to H0, H1, or H2 paths. Use this skill for multiple load-generator hosts. For one load generator, including one that connects to remote storage, use $sbk-benchmark-runner.

Select the distributed mode

  1. Use sbk-gem when one controller should connect over SSH, reconcile Java and SBK, launch the same workload on every node, and aggregate through its embedded SBM.
  2. Use sbk-gem-yal for the same orchestration from a reusable YML file.
  3. Use standalone sbm when another system launches SBK clients manually. Each client must select GrpcLogger and point to the SBM host/port.
  4. Do not start a separate SBM for a normal SBK-GEM run; GEM owns one.

Read distributed-topology.md before any run. Use gem-workflows.md for GEM/GEM-YAL and standalone-sbm.md for manual aggregation. Use distributed-validation.md to preflight and judge the result.

For distributed Dell ECS/ObjectScale S3 load, also read drivers/minio/docs/ECS_OBS_AGENT_RUNBOOK.md and drivers/minio/docs/ECS_OBS_BENCHMARK_RUNBOOK.md completely. Qualify the same ordinary MinIO-driver command on every load node before adding GEM orchestration.

Required workflow

  1. Build the installed distribution with ./gradlew installDist. For standalone SBM also run ./gradlew :sbm:installDist.
  2. Make the intended SBK command succeed on one load node first.
  3. Confirm every load node can reach the backend.
  4. Confirm controller-to-node SSH, trusted host keys, remote disk/permissions, and Java 25.
  5. Confirm every node can reach the controller's advertised SBM host and port (default 9717).
  6. Start with one node, one worker, a dedicated target, and a short bounded run.
  7. Scale node and worker counts only after client connections, exact counts, return codes, and aggregate metrics are correct.
  8. Preserve sanitized topology, arguments/YML, versions, per-host responses, aggregate output, and backend/load-host telemetry.

Read the full file on GitHub · 84 lines

Files

What ships with it

6 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. today First seen · 84 lines · 105 tokens per session scan A 5cdef77f5339

Subscribe to this mod's changes

sbk-distributed-benchmark-runner is a skill published in the GitHub repository kmgowda/SBK (36 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 105 tokens to every session and 1,094 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-11-07.

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