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阅读清单
by
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
310
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install reading-list
Description
管理和追踪阅读清单,支持添加文章、进度更新、智能推荐、笔记整理及阅读统计分析。
Usage Guidance
This skill appears to be a plain instruction-only reading-list helper, but it documents storing data at ~/.openclaw/workspace/memory/reading-list.json even though the registry lists no config paths — ask the author to confirm where data is stored and whether the agent will create/modify that file. Also confirm how exports to Notion/Obsidian and reminders work: if they integrate with external services, they'll need API tokens (which are not declared). Because this is instruction-only, the agent itself will perform any web fetches/summaries; consider whether you are comfortable letting the agent access remote URLs and write a file under your home directory. If you want to proceed, back up that path first, and request the author to (a) document exactly which network calls occur, (b) explain export/auth flows, and (c) optionally allow configuring the storage path.
Capability Analysis
Type: OpenClaw Skill
Name: reading-list
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md) for a reading list management tool. There is no executable code, and the instructions provided to the AI agent are strictly aligned with the stated purpose of managing articles, tracking reading progress, and generating summaries. No indicators of data exfiltration, malicious execution, or prompt injection were found.
Capability Assessment
Purpose & Capability
Name/description (管理和追踪阅读清单、推荐、笔记、导出等) align with the SKILL.md features. However the manifest declared no config paths or credentials while the README explicitly states data is stored at ~/.openclaw/workspace/memory/reading-list.json — this is an undeclared persistent storage location and a mismatch with the registry metadata.
Instruction Scope
SKILL.md instructs the agent to add/remove/archive items, summarize URLs/PDFs/Markdown, and export/share. It explicitly names a local storage path for the reading list. The instructions do not specify how external content (URLs, PDFs) will be fetched/parsed or how exports to Notion/Obsidian or reminders are implemented, leaving open whether the agent will access the network, local files, or require external credentials.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing will be downloaded or written by an installer step.
Credentials
The skill declares no required environment variables or credentials, which is consistent with a purely local reading-list. However the SKILL.md mentions exports (Notion/Obsidian) and reminders which typically require API keys or access to notification channels; the absence of any declared env vars or instructions for obtaining credentials is an unresolved inconsistency.
Persistence & Privilege
The skill will persist data to a user home path (~/.openclaw/workspace/memory/reading-list.json) per its documentation. That file location was not declared in the registry metadata. While storing a reading list locally is plausible, persistence to a hard-coded path without prior declaration is a privacy/consent concern and should be confirmed.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install reading-list - After installation, invoke the skill by name or use
/reading-list - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
首发
Metadata
Frequently Asked Questions
What is 阅读清单?
管理和追踪阅读清单,支持添加文章、进度更新、智能推荐、笔记整理及阅读统计分析。 It is an AI Agent Skill for Claude Code / OpenClaw, with 310 downloads so far.
How do I install 阅读清单?
Run "/install reading-list" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 阅读清单 free?
Yes, 阅读清单 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 阅读清单 support?
阅读清单 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 阅读清单?
It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.0.
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