What is hello-ralphthon-icml?

Welcome and orientation content for Ralphthon at ICML, an event about automated research. It supports attendee information, operator guidance, QR-code and sign text, and prompts for getting started.

Use it to write arrival instructions, attendee welcome copy, QR-code text, signs, guestbook prompts, and introductions to the event's research activities.

It gives visitors and event staff clear next steps while keeping public event information separate from private or unverified material.

hello-ralphthon-icml — Skill for Claude Code by happyhappy-jun

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 happyhappy-jun/writing-driven-autoresearch --skill hello-ralphthon-icml

Clone the repo

git clone --depth 1 https://github.com/happyhappy-jun/writing-driven-autoresearch

Made for: Claude Code.

Or install ralphthon-icml, the plugin that ships this one along with the rest of its 8 skills.

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/skills/happyhappy-jun/writing-driven-autoresearch/hello-ralphthon-icml/github.svg)](https://agentmods.dev/skills/happyhappy-jun/writing-driven-autoresearch/hello-ralphthon-icml)

Your own site

<a href="https://agentmods.dev/skills/happyhappy-jun/writing-driven-autoresearch/hello-ralphthon-icml"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/hello-ralphthon-icml/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/skills/happyhappy-jun/writing-driven-autoresearch/hello-ralphthon-icml"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/hello-ralphthon-icml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 789 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.

Model	Per session	Once invoked
Fable 5.1	$0.00097	$0.00789
Opus 5.5	$0.00039	$0.00316
Sonnet 5.5	$0.00019	$0.00158
Haiku 4.5	$0.00010	$0.00079

Measured 2mo ago against content hash 5de27caddd02, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hello-ralphthon-icml 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.

ralphthon-icml/skills/hello-ralphthon-icml/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hello Ralphthon @ICML

Use this skill to produce a concise welcome and orientation pack for Ralphthon @ICML: attendee-facing copy, operator briefing, QR/POP text, and next-step prompts that move people from arrival into the Ralph Loop.

Preflight

Open the public Luma page at https://luma.com/hjuo7auc when browsing is available and verify the visible title, venue, host, schedule, and check-in guidance.
If live verification is unavailable, say that the pack uses the embedded public facts below and identify attendee-visible facts that still need confirmation.
Use public event facts and planning-safe summaries only. Never quote raw Fireflies, Slack, Telegram, email, guest exports, private notes, or participant/reviewer records.
Keep world-model research separate from unverified sponsor or award claims.

Event Facts

Title: Ralphthon @ICML "Auto Research" supported by Codex
Luma: https://luma.com/hjuo7auc
Venue: NAVER D2SF 강남, 서울 서초구 서초대로74길 14 삼성화재 서초타워 18층
Host/calendar: Team Attention / Goobong Jeong
Strategic arc: hello and onboarding first, then auto-research, then world-model ideation.

Operating Context

Treat QR, POP, webpage access, and guestbook prompts as engagement surfaces.
Frame the hackathon around coding-agent efficiency and practical research acceleration.
Use summarized planning context only; do not expose raw meeting transcripts or private notes.
When possible, verify the live Luma page before finalizing public copy.

Workflow

Draft a short attendee welcome.
Add arrival, check-in, venue, and first-action orientation bullets.
Produce short, medium, and operator-facing QR/POP variants with a clear action such as scan, check in, open the event page, or leave a guestbook note.
Add an operator checklist and natural next prompts for the auto-research and world-model-ideation skills.
Prefer compact, event-floor usable copy over long explanation.

Verification

Recheck the public title, venue, schedule, and check-in guidance against the live Luma page when possible.
Confirm every QR/POP variant has a clear call to action.
Confirm the pack contains no private transcript, messaging, participant, reviewer, or operations data.
Remove unverified sponsor, special-award, or world-model relationship claims.

Read the full file on GitHub · 64 lines

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 · 64 lines · 97 tokens per session scan A 5de27caddd02

Subscribe to this mod's changes

hello-ralphthon-icml is a skill published in the GitHub repository happyhappy-jun/writing-driven-autoresearch (23 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 97 tokens to every session and 789 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 2026-08-30.

Research

hello-ralphthon-icml next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
hello-ralphthon-icmlhappyhappy-jun/writing-driven-autoresearch	Skill	23	3mo ago	Apache-2.0	A	97	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code