remote-compute

remote-compute is a skill for Claude Code, Codex from Mtrya/paper-scout. It costs 59 tokens per session (760 once invoked), scanned A, original, no licence file.

A routing guide for research tasks that exceed a computer’s local computing capacity. It directs those tasks to the Qizhi platform instead of reducing the work to reading only.

In plain words
What is it for?
Use it to route compute-heavy research actions to Qizhi.
Why use it?
It helps decide what to do when local hardware cannot handle a worthwhile research operation.

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/mtrya/paper-scout/remote-compute
Any agent
npx skills add Mtrya/paper-scout --skill remote-compute
Clone the repo
git clone --depth 1 https://github.com/Mtrya/paper-scout

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 remote-compute

README.md
[![agentmods](https://agentmods.dev/badge/skills/mtrya/paper-scout/remote-compute.svg)](https://agentmods.dev/skills/mtrya/paper-scout/remote-compute)
Your own site
<a href="https://agentmods.dev/skills/mtrya/paper-scout/remote-compute"><img src="https://agentmods.dev/badge/skills/mtrya/paper-scout/remote-compute.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 760 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00059 $0.00760
Opus 5 $0.00030 $0.00380
Sonnet 5 $0.00012 $0.00152
Haiku 4.5 $0.00006 $0.00076

Measured 5d ago against content hash 810cf74a4431, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remote-compute 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/pget.py), 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.

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.

workspace/.agents/skills/remote-compute/SKILL.md · 39 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

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. 5d ago First seen · 39 lines · 59 tokens per session scan A 810cf74a4431

Subscribe to this mod's changes

remote-compute is a skill published in the GitHub repository Mtrya/paper-scout (5 stars, last pushed 9d ago), with no licence file. It adds 59 tokens to every session and 760 once invoked, about $0.0003 per session on Opus 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.

Related

Other skills, from other repositories

research-news

Daily paper recommendation workflow — search arXiv and Semantic Scholar, score and recommend papers.

LigphiDonk/Oh-my--paper · 20 tokens

read-arxiv-paper

读取 arxiv 论文的 LaTeX 源码并生成结构化中文摘要或中文博客 JSON。当用户给出 arxiv URL(如 https://arxiv.org/abs/2601.07372)并要求阅读、总结、提炼论文观点时,使用默认工作流生成 ./knowledge/summary{tag}.md;当用户要求生成中文博客、输出 JSON、保留图表并输出到测试工作区时,启用 read-paper 工作流。.

LSTM-Kirigaya/jinhui-skills · 105 tokens

lc_arxiv

ArXiv 学术论文搜索.

sunchaokun/zensers · 11 tokens

paper-writing-workflow

Modular 8-stage academic paper writing workflow — from planning to submission. Combines nature-skills + ARS + Omniscale best capabilities. Supports single-stage invocation or full pipeline automation. Trigger when user asks about paper writing workflow, 论文写作流程, academic writing pipeline, or wants to start/continue a…

csgf9k6s79-byte/paper-writing-workflow-plugin · 75 tokens

generate-plot

Generate a publication-quality statistical plot from a data file using PaperBanana.

llmsresearch/paperbanana · 0 tokens

academic-research

Nested swiss-knife reference for academic literature work — find papers, fetch full-text PDFs, trace citations, write LaTeX manuscripts. First action for any "get me this paper" request: python3 /scripts/fetchpaper.py — walks arXiv → Unpaywall → Europe PMC → CORE → in-house publisher-page extraction…

Lingtai-AI/lingtai · 180 tokens