A research check that compares an idea or method with prior work using web search, Semantic Scholar, the project wiki, arXiv preprints, and a review model. It produces a novelty score, related work, differences, and recommendations.

Use it to assess a written idea, a wiki idea page, or a paper title or arXiv link, either quickly or with an additional review step, and optionally save the score to a wiki page.

It helps determine whether an idea appears new and identifies existing work that may overlap with it.

How skyllwt/AutoSci configures Claude Code

About the project

AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.

skyllwt/AutoSci · 1,706 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to skyllwt/AutoSci. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/novelty/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/skyllwt/AutoSci

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/skyllwt/autosci/novelty/github.svg)](https://agentmods.dev/skills/skyllwt/autosci/novelty)

Your own site

<a href="https://agentmods.dev/skills/skyllwt/autosci/novelty"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/novelty/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/skyllwt/autosci/novelty"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/novelty.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,729 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

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.

Model	Per session	Once invoked
Fable 5.1	$0.00040	$0.02729
Opus 5.5	$0.00016	$0.01092
Sonnet 5.5	$0.00008	$0.00546
Haiku 4.5	$0.00004	$0.00273

Measured 2mo ago against content hash 3ae4d8a8c765, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

novelty 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.

.claude/skills/novelty/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/novelty

Verify the novelty of a research idea or method using multiple sources. Searches WebSearch, Semantic Scholar, existing wiki work, and arXiv recent preprints, then Review LLM cross-verifies. Outputs a novelty score (1-5), closest prior work, differentiation points, and next-step recommendations. Can be used standalone or called by /ideate Phase 4.

Inputs

target: one of the following:
- free-text description of the idea (a paragraph or a few sentences)
- slug of an ideas/ page in the wiki (e.g. sparse-lora-for-edge-devices)
- paper title or arXiv URL (check novelty of that paper's method)
--quick: fast mode, skip Review LLM cross-verify (Step 3), search only
--verbose: output full search results, not just summaries
--write (optional, default off): persist the resulting novelty_score to the target's frontmatter. Only takes effect when target is an idea slug (i.e. wiki/ideas/{slug}.md exists). Free-text targets and paper-novelty checks remain read-only regardless of this flag. Treat as a user-owned flag — /ideate Phase 4 sets it explicitly when calling /novelty; do not infer it from repo state.

Outputs

Novelty Report (output to terminal):
- Novelty Score (1-5)
- List of closest prior work (top 3-5)
- Differentiation points versus each prior work
- Review LLM cross-verify assessment (unless --quick)
- Recommended action: proceed / modify / abandon
Idea page write (only when --write is set AND target is an idea slug): updates wiki/ideas/{slug}.md frontmatter novelty_score field via tools/research_wiki.py set-meta. No other field is touched.

Wiki Interaction

Reads

wiki/papers/*.md — search existing papers for similar methods
wiki/concepts/*.md — check concept overlap
wiki/methods/*.md — check for already-cataloged methods that overlap with the candidate
wiki/ideas/*.md — check for duplication with existing ideas (especially failure_reason of failed ideas)
wiki/graph/context_brief.md — global context to assist search

Read the full file on GitHub · 218 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 · 218 lines · 40 tokens per session scan A 3ae4d8a8c765

Subscribe to this mod's changes

novelty is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 2,729 once invoked, about $0.0002 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

novelty next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
noveltyskyllwt/AutoSci	Skill	1.7k	1mo ago	MIT	A	40	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	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code

AutoSci: Skill for Claude Code