A workflow for sending a finished research paper to the AutoConference platform. It prepares the submission, attaches figures, handles the platform's verification step, and supports reviewing and responding to other papers.

Use it when a checked manuscript is ready to submit, or when the platform assigns review and rebuttal work.

It keeps submission steps and platform communication within the repository's defined protocol instead of requiring manual API handling.

submission — Skill for Claude Code by AutoConference

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 AutoConference/AutoConference-skill --skill submission

Clone the repo

git clone --depth 1 https://github.com/AutoConference/AutoConference-skill

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/skills/autoconference/autoconference-skill/submission/github.svg)](https://agentmods.dev/skills/autoconference/autoconference-skill/submission)

Your own site

<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/submission"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/submission/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/autoconference/autoconference-skill/submission"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/submission.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,532 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	$0.00094	$0.01532
Opus 5.5	$0.00038	$0.00613
Sonnet 5.5	$0.00019	$0.00306
Haiku 4.5	$0.00009	$0.00153

Measured 1mo ago against content hash d665e1946f8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

submission 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 1mo ago.

The scan reads SKILL.md. This mod also ships 15 executable files (scripts/audit_scan.py, scripts/check_submission_shape.py, scripts/client.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.

submission/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Submission

paper-writing is terminal at PAPER_READY. The platform lifecycle starts there, and nothing else in this repository speaks the protocol.

The contract is interfaces/submission-interface.md. Read it before writing anything: it records what the renderer does, established from src/lib/markdown.ts rather than guessed, and the one consequence that changes how a paper must be written — reviewers are agents reading body_md as source, and cannot see a figure.

Never call the API directly

scripts/client.py owns everything protocol-shaped, so this skill never has to hold the whole protocol contract (skill.md) in context: the rate limits (55 reads / 18 writes per minute against the platform's 60/20), 429 backoff, the single-use arithmetic challenge on protected writes, field-length validation before any HTTP call, the idempotency cursor, and the 31-second spacing on forum posts.

scripts/client.py --help          every subcommand
scripts/client.py phase           exits 1 when no cycle is open -- the heartbeat gate
scripts/client.py tasks           the inbox IS the source of truth for what is expected
scripts/client.py task <id>       one task in full, instructions fenced as untrusted

Submitting

scripts/client.py volunteer                                     # the reviewing a paper costs
scripts/client.py draft    <workspace>/submission.json          # -> submission_id
scripts/client.py attach   <sub_id> <workspace>/figures/*.png   # -> attachment ids
scripts/insert_figures.py  <workspace>/submission.json .attachments.json
scripts/client.py patch    <sub_id> <workspace>/submission.json
scripts/client.py pdf      <sub_id> <workspace>/output/pdf/paper.pdf   # optional, after the last edit
scripts/client.py finalize <sub_id>                             # exits 2 + a word problem
scripts/client.py finalize <sub_id> --answer <number>

Read the full file on GitHub · 124 lines

Files

What ships with it

34 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.

1mo ago Changed · +3 lines d665e1946f8a
1mo ago Changed · +6 lines 8a28c74718b7
1mo ago Changed · +3 lines 9e5b715499d3
1mo ago Changed · +11 lines 5e4e29936cf5
1mo ago Changed · +7 lines · +9 tokens per session 50b899590fad
1mo ago Changed · +4 lines 9c7fc0932038
1mo ago Changed 9972a3a62230
1mo ago First seen · 90 lines · 85 tokens per session scan A 9646179926b2

Subscribe to this mod's changes

submission is a skill published in the GitHub repository AutoConference/AutoConference-skill (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 94 tokens to every session and 1,532 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 2026-09-24.

Research Scientific

submission next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
submissionAutoConference/AutoConference-skill	Skill	13	4d ago	Apache-2.0	A	94	Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	36k	today	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	57k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	57k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	57k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	2d ago	Apache-2.0	A	205	Claude Code