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.
npx skills add AkaliKong/PaperClaw --skill paper-source-scrapergit clone --depth 1 https://github.com/AkaliKong/PaperClawWrote 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.
[](https://agentmods.dev/skills/akalikong/paperclaw/paper-source-scraper)<a href="https://agentmods.dev/skills/akalikong/paperclaw/paper-source-scraper"><img src="https://agentmods.dev/badge/skills/akalikong/paperclaw/paper-source-scraper/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.
<a href="https://agentmods.dev/skills/akalikong/paperclaw/paper-source-scraper"><img src="https://agentmods.dev/badge/skills/akalikong/paperclaw/paper-source-scraper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00051 | $0.00853 |
| Opus 5 | $0.00026 | $0.00426 |
| Sonnet 5 | $0.00010 | $0.00171 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
paper-source-scraper 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 9d 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.
What it actually says
Paper Source Scraper — 靶向搜索与去重
概述
本 Skill 是一个纯数据获取工具，不包含任何 LLM 逻辑。所有逻辑放在 scripts/source_scraper.py 中确定性执行。
⚠️ 关键规则
- 纯脚本驱动：触发后直接执行 Python 脚本，Agent 不需要参与搜索和去重逻辑。
- 两级去重：搜索结果必须经过单次运行内去重（Intra-run）和跨周期增量去重（Cross-run）。
- 增量输出：最终输出仅包含真正的新论文，已在之前 run 中见过的论文会被过滤。
工作流程
执行搜索 — "搜索最新论文"
执行搜索脚本：
python $PAPER_AGENT_ROOT/scripts/source_scraper.py --run-id {run_id}
脚本将：
- 从
profile.yaml读取关键词列表、白名单作者列表、arXiv 分类列表、时间范围 - 对每组关键词调用
ArxivSearcher.search()执行搜索 - 对白名单作者额外执行按作者维度搜索
- 执行两级去重：
- Intra-run：对本次多组搜索结果基于 arXiv ID 去重合并
- Cross-run：与
seen_papers.json+seed_papers.json做 Diff，过滤已见论文
- 将新增论文 ID 注册到
seen_papers.json - 输出
skill1_search_results.json+ 去重统计摘要
输入
profile.yaml中的搜索配置：keywords：关键词列表whitelist_authors：白名单作者列表arxiv_categories：arXiv 分类列表search_days：搜索时间范围
seen_papers.json：全局已见论文注册表seed_papers.json：核心论文目录
输出
skill1_search_results.json
{
"papers": [
{
"arxiv_id": "2603.01234",
"title": "...",
"authors": ["..."],
"abstract": "...",
"url": "https://arxiv.org/abs/2603.01234",
"source": "keyword_search",
"published_date": "2026-03-01",
"categories": ["cs.IR", "cs.AI"],
"comments": ""
}
],
"stats": {
"total_raw": 50,
"dedup_intra_run": 35,
"dedup_cross_run": 12,
"new_increment": 12
}
}
错误处理
| 场景 | 处理策略 |
|---|---|
| arXiv API 频率限制（429） | 指数退避重试（最多 3 次） |
| 网络连接失败 | 返回空列表 + 错误日志 |
seen_papers.json 不存在或损坏 |
从 paper_index.json + seed_papers.json 重建 |
去重统计示例
搜索统计:
原始搜索结果: 50 篇
运行内去重后: 35 篇 (去除 15 篇重复)
跨周期去重后: 12 篇 (去除 23 篇已见)
最终增量新论文: 12 篇
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.
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.
- 9d ago First seen · 104 lines · 51 tokens per session scan A cb3c34e2c66f
paper-source-scraper is a skill published in the GitHub repository AkaliKong/PaperClaw (22 stars, last pushed 6mo ago), licensed MIT. It adds 51 tokens to every session and 853 once invoked, about $0.0003 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.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…