paper-summarizer-zh

paper-summarizer-zh is a skill for Claude Code, Codex from gy910210/hermes-research-skills. It costs 65 tokens per session (441 once invoked), scanned A, original, MIT.

A lightweight Chinese-language summarizer for one paper or one set of reading notes. bioRxiv is an online archive where researchers share biology papers before formal journal review; this tool can summarize supplied source information but does not perform a full literature review.

In plain words
What is it for?
Use it to produce concise Chinese summaries, one-sentence conclusions, key points, contributions, limitations, tags, and suggested next steps from individual papers or reading notes.
Why use it?
It turns reading notes into a short conclusion and reusable key-point card without attempting a broader comparison of many papers. It also records contributions, limitations, tags, and possible follow-up work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to produce concise Chinese summaries, one-sentence conclusions, key points, contributions, limitations, tags, and suggested next steps from individual papers or reading notes.

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Install with agentmods
npx agentmods add skills/gy910210/hermes-research-skills/paper-summarizer-zh
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 gy910210/hermes-research-skills --skill paper-summarizer-zh
Clone the repo
git clone --depth 1 https://github.com/gy910210/hermes-research-skills

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.

agentmods badge for paper-summarizer-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-summarizer-zh/github.svg)](https://agentmods.dev/skills/gy910210/hermes-research-skills/paper-summarizer-zh)
Your own site
<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/paper-summarizer-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-summarizer-zh/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 paper-summarizer-zh

Your own site · 80×15
<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/paper-summarizer-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-summarizer-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 441 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.00441
Opus 5 $0.00032 $0.00220
Sonnet 5 $0.00013 $0.00088
Haiku 4.5 $0.00006 $0.00044

Measured 12d ago against content hash 304b44f843a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paper-summarizer-zh 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 12d 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-summarizer-zh/SKILL.md · 36 lines

What it actually says

Hermes 适配说明

  • 本 skill 现面向 Hermes 使用,优先依赖 Hermes 原生工具:search_filesread_filewrite_filepatchsession_searchdelegate_taskcronjobbrowserweb/searchvision
  • 若正文提到 references/...scripts/...,优先读取当前 skill 目录下对应文件,不再依赖 Claude 专属目录结构。
  • 原始 Claude agents/openai.yaml 不作为执行前提;需要并行研究、分工精读或角色评审时,改用 Hermes 的 delegate_task
  • 保留原有研究方法论与产物契约,但执行层统一按 Hermes 工具体系落地。

Paper Summarizer(中文)

输入

  • reading_notespapers 元信息
  • style: "简洁"|"详细"(默认 简洁
  • bullets: 每篇要点数(默认 5

输出(中文)

  • summaries
    • one_sentence_summary
    • key_points
    • contributions
    • limitations
    • tags
    • suggested_followups

步骤

  1. 将阅读笔记转为“一句话摘要+要点”。
  2. 标注贡献、创新点与局限。
  3. 给出后续阅读或实验建议。
  4. 保持用词一致与中文表述。

边界

  • 需要跨文献比较、方向重构、主稿合并时,改用 research-synthesizer-zh
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. 12d ago First seen · 36 lines · 65 tokens per session scan A 304b44f843a9

Subscribe to this mod's changes

paper-summarizer-zh is a skill published in the GitHub repository gy910210/hermes-research-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 65 tokens to every session and 441 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 2026-08-31.

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