aaai-related-work

aaai-related-work is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 80 tokens per session (803 once invoked), scanned A, original, MIT.

A guide for writing the related-work section of an AAAI paper, which explains how the paper differs from earlier research. AAAI is a broad artificial-intelligence research conference.

In plain words
What is it for?
Finding close comparisons, separating kinds of novelty, describing differences in assumptions and evidence, and writing a focused positioning paragraph.
Why use it?
It helps authors make a clear novelty claim across older published work, newer unpublished papers, and related AI fields while following submission rules.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the AAAI-Skills plugin — 12 skills shipped together

Good fit Finding close comparisons, separating kinds of novelty, describing differences in assumptions and evidence, and writing a focused positioning paragraph.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/aaai-related-work
About the project

Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.

brycewang-stanford/Awesome-Journal-Skills · 1,097 stars · on GitHub · copaper.ai

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 brycewang-stanford/Awesome-Journal-Skills --skill aaai-related-work
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install AAAI-Skills, the plugin that ships this one along with the rest of its 12 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.

agentmods badge for aaai-related-work

README.md
[![agentmods](https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aaai-related-work/github.svg)](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aaai-related-work)
Your own site
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aaai-related-work"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aaai-related-work/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 aaai-related-work

Your own site · 80×15
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aaai-related-work"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aaai-related-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 803 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.00803
Opus 5 $0.00040 $0.00402
Sonnet 5 $0.00016 $0.00161
Haiku 4.5 $0.00008 $0.00080

Measured 13d ago against content hash 9d4c52886a71, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aaai-related-work 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 13d 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.

AAAI-Skills/skills/aaai-related-work/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this to make the novelty claim robust under AAAI's broad AI review. The related-work section must help reviewers distinguish the paper from both archival work and contemporaneous non-archival work.

Positioning checks

  • Identify the closest archival AI papers and current arXiv/workshop work.
  • Separate method novelty, task novelty, evaluation novelty, and system integration novelty.
  • Cite contemporaneous non-archival work carefully when it affects priority or reviewer expectations.
  • Do not submit substantially similar work to multiple archival venues at the same time.
  • Explain how the paper differs from AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors in assumptions, evidence, scope, and contribution.
  • Avoid using AI systems as citable scientific sources under AAAI policy.

Novelty paragraph

Use this structure:

Closest prior work solves <problem> under <assumptions>.
It does not address <specific missing setting/mechanism/evidence>.
This paper contributes <new item> and verifies it through <evidence>.
The claim is limited to <scope>.

Positioning across AAAI's breadth

AAAI spans search, planning, knowledge representation, constraint satisfaction, multi-agent systems, learning, NLP, vision, and robotics, so the closest prior work may live in a subfield your reviewer does not. Make the contrast explicit for a non-specialist instead of assuming shared background.

Neighbor venue Reviewer expectation Differentiation to spell out
IJCAI broad-AI overlap what your result adds beyond their framing
NeurIPS/ICML ML method or theory depth why AAAI breadth, not just a benchmark gain
ICLR representation-learning lens non-learning mechanism or guarantee you contribute
AAAI prior years incremental-track suspicion the new assumption, evidence, or scope

Reviewer-pushback patterns

  • "This looks concurrent with arXiv paper Y." Fix: cite Y, state it is non-archival and contemporaneous, and name the specific setting or evidence you add; do not bury or ignore it.
  • "Isn't this the same as your workshop paper?" Fix: clarify the archival delta and confirm no substantially similar work is under review elsewhere, satisfying the dual-submission rule.
  • "Citation looks AI-generated." Fix: verify every reference against a real source; AAAI policy bars AI systems as citable scientific sources and hallucinated citations are a credibility risk.

Read the full file on GitHub · 74 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. 13d ago First seen · 74 lines · 80 tokens per session scan A 9d4c52886a71

Subscribe to this mod's changes

aaai-related-work is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,097 stars, last pushed 16d ago), licensed MIT. It adds 80 tokens to every session and 803 once invoked, about $0.0004 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 2026-08-30.

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