What is serving-pd-ratio-benchmark-subagent?

A subtask that measures how to divide inference work between prompt processing and response generation on AI hardware. It runs throughput tests, calculates the best split, checks cluster capacity, and verifies deployment and end-to-end performance.

It is for benchmarking and validating prompt-processing and response-generation deployments on NPU clusters.

It helps determine a suitable workload split while checking whether the system meets its performance target under load.

serving-pd-ratio-benchmark-subagent — Agent by little-planet

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.

Clone the repo

git clone --depth 1 https://github.com/little-planet/ascend-tune-lab

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/little-planet/ascend-tune-lab/serving-pd-ratio-benchmark-subagent/github.svg)](https://agentmods.dev/agents/little-planet/ascend-tune-lab/serving-pd-ratio-benchmark-subagent)

Your own site

<a href="https://agentmods.dev/agents/little-planet/ascend-tune-lab/serving-pd-ratio-benchmark-subagent"><img src="https://agentmods.dev/badge/agents/little-planet/ascend-tune-lab/serving-pd-ratio-benchmark-subagent/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/little-planet/ascend-tune-lab/serving-pd-ratio-benchmark-subagent"><img src="https://agentmods.dev/badge/agents/little-planet/ascend-tune-lab/serving-pd-ratio-benchmark-subagent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 77 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,298 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00077	$0.02298
Opus 5.5	$0.00031	$0.00919
Sonnet 5.5	$0.00015	$0.00460
Haiku 4.5	$0.00008	$0.00230

Measured 2mo ago against content hash 3c398d98eb88, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

serving-pd-ratio-benchmark-subagent 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 2mo 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.

configuration-tuning-agents/agents/serving-pd-ratio-benchmark-subagent.md · 105 lines

The source is not reproduced here

No licence file

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.

2mo ago First seen · 105 lines · 77 tokens per session scan A 3c398d98eb88

Subscribe to this mod's changes

serving-pd-ratio-benchmark-subagent is an agent published in the GitHub repository little-planet/ascend-tune-lab (2 stars, last pushed 2mo ago), with no licence file. It adds 77 tokens to every session and 2,298 once invoked, about $0.0003 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 2026-08-31.

Analytics and metrics Data and AI

serving-pd-ratio-benchmark-subagent next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
serving-pd-ratio-benchmark-subagentlittle-planet/ascend-tune-lab	Agent	2	2mo ago	none	A	77	Claude Code
Prompt Buildergithub/awesome-copilot	Agent	41k	yesterday	MIT	A	24	Claude Code
fitjeremylongshore/tons-of-skills-marketplace	Agent	2.9k	today	MIT	A	57	Claude Code
mlops-engineerpjt222/agent-almanac	Agent	43	yesterday	MIT	A	31	Claude Code
migration-reviewerahmedawan-oracle/claude-code-plugins	Agent	4	3mo ago	MIT	A	70	Claude Code
openai-api-expert0xfurai/claude-code-subagents	Agent	1.0k	1y ago	MIT	A	23	Claude Code
image-prompt-engineer18771050470/big-genius-skills	Agent	10	2mo ago	none	A	32	Claude Code