What is paper-seed-init?

A tool for creating and maintaining a list of core research papers, called seed papers, from arXiv IDs. arXiv is an online archive for scientific papers; the list provides a reference point for paper search, scoring, reading, and idea generation.

Use it to initialize or update seed_papers.json from profile.yaml, fetch paper details, add editable notes and categories, and register the papers in seen_papers.json.

It keeps the research pipeline anchored to papers the user considers important and avoids fetching or processing the same seed papers repeatedly. Existing personal notes and labels are preserved during updates.

paper-seed-init — Skill for Claude Code and Codex by AkaliKong

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 AkaliKong/PaperClaw --skill paper-seed-init

Clone the repo

git clone --depth 1 https://github.com/AkaliKong/PaperClaw

Made for: Claude Code, Codex.

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/akalikong/paperclaw/paper-seed-init/github.svg)](https://agentmods.dev/skills/akalikong/paperclaw/paper-seed-init)

Your own site

<a href="https://agentmods.dev/skills/akalikong/paperclaw/paper-seed-init"><img src="https://agentmods.dev/badge/skills/akalikong/paperclaw/paper-seed-init/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/akalikong/paperclaw/paper-seed-init"><img src="https://agentmods.dev/badge/skills/akalikong/paperclaw/paper-seed-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,034 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	$0.00055	$0.01034
Opus 5.5	$0.00022	$0.00414
Sonnet 5.5	$0.00011	$0.00207
Haiku 4.5	$0.00006	$0.00103

Measured 2mo ago against content hash 3c4901d4c468, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper-seed-init 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.

skills/paper-seed-init/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Seed Init — 核心论文目录初始化

概述

本 Skill 管理核心论文目录（Seed Papers），它是整个论文阅读 Pipeline 的学术品味锚点。核心论文为搜索去重、打分校准、精读参考和 Idea 生成提供基准。

⚠️ 关键规则

首次使用必须先初始化：Pipeline 运行前，必须确保 seed_papers.json 已生成。
增量更新：当用户修改 profile.yaml 中的 seed_papers 列表时，脚本只拉取新增论文，不会重新拉取已有论文。
自动注册 seen_papers.json：所有核心论文 ID 会自动注册到去重表，避免被搜索模块重复抓取。

工作流程

初始化核心论文 — "初始化核心论文"

执行初始化脚本：

python $PAPER_AGENT_ROOT/scripts/seed_init.py

脚本将：

读取 profile.yaml 中的 seed_papers arXiv ID 列表
对每个 arXiv ID 调用 ArxivSearcher 拉取元数据（title、authors、abstract、url、categories、comments）
合并已有 seed_papers.json 中的手动 JSON 条目（方式 B）
为每篇论文提供可编辑的字段：user_note、role（foundational/benchmark/inspiring/my_work）、sub_field、key_concepts
将所有核心论文 ID 注册到 seen_papers.json（标记 source: "seed"）
输出/更新 seed_papers.json

增量更新 — "更新种子论文"

python $PAPER_AGENT_ROOT/scripts/seed_init.py --update

脚本将：

对比 profile.yaml 中的 seed_papers 与现有 seed_papers.json
仅拉取新增论文的元数据
保留已有论文的手动标注（user_note、role 等）

输出文件

seed_papers.json

每条记录格式：

{
  "arxiv_id": "2305.05065",
  "title": "Recommender Systems with Generative Retrieval",
  "authors": ["Shashank Rajput", "..."],
  "abstract": "...",
  "url": "https://arxiv.org/abs/2305.05065",
  "published_date": "2023-05-08",
  "categories": ["cs.IR", "cs.AI"],
  "comments": "Accepted at NeurIPS 2023",
  "user_note": "",
  "role": "foundational",
  "sub_field": "generative_rec",
  "key_concepts": ["Semantic ID", "RQ-VAE", "autoregressive retrieval"],
  "has_card": false,
  "card_path": ""
}

seen_papers.json 注册

每篇核心论文自动注册：

{
  "2305.05065": {
    "source": "seed",
    "first_seen_date": "2026-03-01",
    "first_seen_run_id": "seed_init"
  }
}

核心论文角色（role）说明

角色	说明	用途
`foundational`	奠基性论文（见 seed_papers.json）	few-shot 打分示例（≤3 篇）
`benchmark`	重要对比基线（如 SASRec、P5）	实验规划参考
`inspiring`	启发性论文	Idea 碰撞素材
`my_work`	用户自己的论文	知识库锚定

Read the full file on GitHub · 114 lines

Files

What ships with it

1 file 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.

README.md 1.8 KB

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 · 114 lines · 55 tokens per session scan A 3c4901d4c468

Subscribe to this mod's changes

paper-seed-init is a skill published in the GitHub repository AkaliKong/PaperClaw (22 stars, last pushed 8mo ago), licensed MIT. It adds 55 tokens to every session and 1,034 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 Scientific

paper-seed-init next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
paper-seed-initAkaliKong/PaperClaw	Skill	22	8mo ago	MIT	A	55	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	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	yesterday	Apache-2.0	A	205	Claude Code