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resubmit-pipeline

resubmit-pipeline is a skill for Claude Code from wanshuiyin/Auto-claude-code-research-in-sleep. It costs 103 tokens per session (8,712 once invoked), scanned A, original, MIT.

A workflow for adapting an already polished research paper for submission to a different publication venue. It makes text-only edits under restrictions such as no new experiments, bibliography changes, or framework changes.

In plain words
What is it for?
Use it to prepare a paper for a new conference or journal after review, while preserving its existing evidence and citations.
Why use it?
It prevents a resubmission from changing completed research or overwriting the earlier submission. It also helps fit the paper to a shorter page limit and address previous reviewer concerns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument; mentions Claude Code; mentions Codex.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Before each reviewer slot**, follow [Selectable Reviewers](../shared-references/reviewer-backends.md):.

Part of the aris plugin — 87 skills, 1 command, 1 agent shipped together

not rated 19krepo +353 changed 18d ago A scan Snyk: passSkillSpector: pass 103 tokens original MIT

Good fit Use it to prepare a paper for a new conference or journal after review, while preserving its existing evidence and citations.

Compare 6 skills from other repositories ↓
View source ↗ wanshuiyin/Auto-claude-code-research-in-sleep
About the project

ARIS is a collection of Markdown-based skills that define a workflow for autonomous machine-learning research, including idea discovery, experiment automation, and review loops. Researchers and AI coding agents use it across tools such as Claude Code, Codex, Cursor, and OpenClaw without depending on a single framework. The catalogue entries are ARIS workflow skills and agents.

wanshuiyin/Auto-claude-code-research-in-sleep · 18,731 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
agentmods
npx agentmods add skills/wanshuiyin/auto-claude-code-research-in-sleep/resubmit-pipeline

Made for: Claude Code.

Or install aris, the plugin that ships this one along with the rest of its 87 skills, 1 command, 1 agent.

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 resubmit-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/resubmit-pipeline/github.svg)](https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/resubmit-pipeline)
Your own site
<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/resubmit-pipeline"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/resubmit-pipeline/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.

agentmods 80×15 button for resubmit-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/resubmit-pipeline"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/resubmit-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,712 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. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00103 $0.08712
Opus 5.5 $0.00041 $0.03485
Sonnet 5.5 $0.00021 $0.01742
Haiku 4.5 $0.00010 $0.00871

Measured 18d ago against content hash 7c2805b261ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

resubmit-pipeline 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 18d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/resubmit-pipeline/SKILL.md · 459 lines

How it starts

The opening of the file, as written. The whole thing — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resubmit Pipeline: Text-Only Microedit Mode

Before each reviewer slot, follow Selectable Reviewers: resolve invocation → .aris/reviewer.json → Claude Code default (Codex MCP) with reviewer_route.py through the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only to backend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections are REVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.

Compose a polished paper into a new venue under text-only constraints: $ARGUMENTS

Why This Exists

Most ARIS writing workflows assume the input is either a narrative report (Workflow 3) or an in-progress paper that may still need experiments / bib changes / structural edits. Resubmit is a fundamentally different scope:

  • The paper is already polished — proofs are done, experiments are done, bibliography is curated.
  • The user wants to absorb prior reviewer concerns from a previous venue and re-submit, without introducing new experiments, new citations, or framework changes (LLM hallucination paranoia + tight resubmit timing + closed compute budget).
  • The base submission directory is read-only — the new submission must compose into a sibling directory, never mutate prior state.
  • Page limit may shrink between source and target venue (e.g., workshop camera-ready → 9-page main).

Existing skills cover adjacent territory but none of this exact composition: /rebuttal builds the OpenReview-style response document, not in-paper microedits; /auto-paper-improvement-loop is the per-round engine but presupposes someone has already chosen the base manuscript, migrated venue format, set the edit whitelist, queued the reviewer feedback, and decided what NOT to change. /resubmit-pipeline fills that orchestration gap.

Read the full file on GitHub · 459 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.

  1. 18d ago Changed · +11 lines 7c2805b261ef
  2. 1mo ago Changed 11d8c78dcb9f
  3. 2mo ago Changed 4fa03710fe1f
  4. 2mo ago First seen · 448 lines · 103 tokens per session scan A c919caf4c1df

Subscribe to this mod's changes

resubmit-pipeline is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (18,731 stars, last pushed 3d ago), licensed MIT. It adds 103 tokens to every session and 8,712 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 2026-09-03.

Claude CodeResearchWriting and docsai-researchautonomous-agentcodexmcpml-research
Related

resubmit-pipeline compared with skills from other repositories

resubmit-pipeline next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
resubmit-pipelinewanshuiyin/Auto-claude-code-research-in-sleepSkill19k3d agoMITA103Claude Code
figure-styleaipoch/open-scienceSkill5.5kyesterdayApache-2.0A91Claude Code, Codex
remote-compute-sshaipoch/open-scienceSkill5.5kyesterdayApache-2.0A53Claude Code, Codex
ml-training-recipesOrchestra-Research/AI-Research-SKILLsSkill14k26d agoMITA88Claude Code
experiment-tracking-swanlabOrchestra-Research/AI-Research-SKILLsSkill14k26d agoMITA40Claude Code, Codex
ligandmpnnaipoch/open-scienceSkill5.5kyesterdayApache-2.0A100Claude Code, Codex
presenting-conference-talksOrchestra-Research/AI-Research-SKILLsSkill14k26d agoMITA53Claude Code