Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/eesjgong/scholar-skill/zh-cn)<a href="https://agentmods.dev/skills/eesjgong/scholar-skill/zh-cn"><img src="https://agentmods.dev/badge/skills/eesjgong/scholar-skill/zh-cn/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/eesjgong/scholar-skill/zh-cn"><img src="https://agentmods.dev/badge/skills/eesjgong/scholar-skill/zh-cn.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 | $0.00000 | $0.04009 |
| Opus 5 | $0.00000 | $0.02005 |
| Sonnet 5 | $0.00000 | $0.00802 |
| Haiku 4.5 | $0.00000 | $0.00401 |
Grade A, and why
zh-CN 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- zh-CN — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ScholarSkill - 学术论文阅读与知识内化
技能描述: 基于 Obsidian 的 L3 级论文阅读与记忆抽取系统
版本: v1.0.0
最后更新: 2026-03-18
⚙️ 首次使用必读：配置引导
欢迎使用 ScholarSkill！ 🦉
在开始阅读论文之前，需要完成以下配置。本技能支持三种配置模式：
🚀 配置模式
模式 1: 全自动配置（推荐新手）
# 先选择中文包，再明确指定目标 Obsidian vault
python ~/.openclaw/workspace-scholar/skills/scholar-skill/zh-CN/scripts/configure.py auto --vault-path "/你的/Obsidian/Vault"
适合: 第一次使用，Obsidian 已安装
自动完成:
- ✓ 检测 Obsidian 仓库位置
- ✓ 创建目录结构（1-Papers, 2-Knowledge, 3-MOCs, memory 等）
- ✓ 生成配置文件
- ✓ 检查依赖技能
注意: 推荐始终传入 --vault-path，这样不会误选到别的 vault，也能确保只同步中文模板。
模式 2: 半自动配置（推荐）
# 运行中文包配置脚本，并明确指定目标 vault
python ~/.openclaw/workspace-scholar/skills/scholar-skill/zh-CN/scripts/configure.py semi --vault-path "/你的/Obsidian/Vault"
适合: 希望手动确认每一步的用户
流程:
- 自动检测 Obsidian 仓库（找不到会提示手动输入）
- 询问是否创建目录结构
- 检查依赖技能，询问是否安装
- 生成配置文件
模式 3: 手动配置（高级用户）
# 运行中文包配置脚本，并明确指定目标 vault
python ~/.openclaw/workspace-scholar/skills/scholar-skill/zh-CN/scripts/configure.py manual --vault-path "/你的/Obsidian/Vault"
适合: 清楚自己需要什么的高级用户
流程:
- 手动输入 Obsidian 仓库路径
- 跳过目录创建（稍后手动）
- 仅检查依赖，不自动安装
- 生成配置文件
📦 依赖技能
本技能需要以下依赖技能（配置脚本会自动检查）：
核心依赖（必需）
| 技能 | 用途 | 必需 |
|---|---|---|
obsidian-direct |
Obsidian 文件操作 | ⭐⭐⭐ |
arxiv-watcher |
ArXiv 论文搜索 | ⭐⭐⭐ |
功能增强（推荐）
| 技能 | 用途 | 必需 |
|---|---|---|
academic-research-hub |
多源学术搜索 | ⭐⭐ |
tavily |
网页内容提取 | ⭐⭐ |
pdf |
PDF 文本提取 | ⭐⭐ |
obsidian-cli |
Obsidian CLI 工具 | ⭐⭐ |
长任务编排（L3/批量处理必需）⭐ 新增
| 技能 | 用途 | 必需 |
|---|---|---|
durable-task-runner |
长任务编排、进度追踪、崩溃恢复 | ⭐⭐⭐ (L3/批量) |
为什么需要 durable-task-runner？
- ✅ L3 精读 (2.5 小时): 需要进度追踪、中断恢复
- ✅ 批量阅读 (10+ 篇): 需要任务编排、步骤重试
- ✅ 周巩固 (60-90 分钟): 需要状态持久化、定期执行
- ✅ 崩溃恢复: 会话中断后可继续
- ✅ 进度透明: 实时显示完成进度
安装命令:
# 核心依赖（通过 ClawHub 安装）
clawhub install obsidian-direct
clawhub install arxiv-watcher
# 功能增强（推荐）
clawhub install academic-research-hub
clawhub install tavily
clawhub install pdf
clawhub install obsidian-cli
# 长任务编排（L3/批量处理必需）
clawhub install durable-task-runner
What ships with it
23 files 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.
- config.example.yml 4.2 KB
- docs/CONFIGURATION.md 10 KB
- docs/DURABLE-INTEGRATION.md 8.1 KB
- docs/FIXES-SUMMARY.md 7.2 KB
- docs/INTEGRATION-SUMMARY.md 6.5 KB
- protocols/CHECKLIST-Paper-Reading.md 3.1 KB
- protocols/READING-STRATEGY-v2.1.md 10 KB
- README.md 803 B
- scripts/configure.py 16 KB runs code
- scripts/replace-placeholders.py 4.0 KB runs code
- templates/Procedure-人工确认流程.md 3.1 KB
- templates/Template-Concept.md 635 B
- templates/Template-Confirmation-Request.md 1.3 KB
- templates/Template-Insight.md 713 B
- templates/Template-Method.md 498 B
- templates/Template-MOC.md 424 B
- templates/Template-Paper-Note-L2.md 1.8 KB
- templates/Template-Paper-Note-L3.md 3.6 KB
- templates/Template-Person.md 344 B
- templates/Template-Question.md 315 B
- templates/Template-Reflection-L1.md 1.5 KB
- templates/Template-Reflection-L2.md 1.9 KB
- templates/Template-Reflection-L3.md 3.5 KB
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.
- 10d ago First seen · 460 lines · 0 tokens per session scan A 943eab940a3a
zh-CN is a skill published in the GitHub repository EESJGong/scholar-skill (222 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,009 tokens. 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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