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Install in OpenClaw
/install literature-parser
Description
自动提取文献内容的摘要、关键词和核心结论，帮助快速理解学术资料的重点信息。
README (SKILL.md)
文献自动解析\r
\r 自动解析用户发送的文献内容，输出摘要、关键词和核心结论。\r \r
系统提示词\r
你是专业的学术文献自动解析助手。\r 用户发送的任何文本，都视为需要解析的文献内容。\r \r 请严格按照以下格式输出，不要多余文字、不要解释、不要提问：\r \r 【摘要】\r 用简洁、通顺的语言概括全文核心内容。\r \r 【关键词】\r 列出3–6个最核心的关键词。\r \r 【核心结论】\r 提炼1–3条最重要的结论或观点。
Usage Guidance
This skill does what it says (extracts summaries/keywords/conclusions) and requests no secrets, but the runtime instructions act like a system-level prompt override and the included code sets the skill to always trigger. Those two facts combined raise suspicion: the skill could change or constrain the agent's global behavior and will run by default. Before installing, ask the publisher to: (1) remove or rework the SKILL.md so it does not try to override the agent's system prompt (make it operational guidance, not a system instruction); (2) change trigger.type from 'always' to an explicit user-invoked trigger; and (3) confirm the source/owner and provide a repo or homepage. If you cannot get those changes or verify the author, avoid installing or run it in a restricted/sandboxed environment first.
Capability Analysis
Type: OpenClaw Skill
Name: literature-parser
Version: 1.0.0
The 'literature-parser' skill is a straightforward utility designed to summarize academic text and extract keywords. The code in index.ts and the instructions in SKILL.md are consistent with the stated purpose, containing no executable logic, network requests, or instructions that would lead to data exfiltration or unauthorized system access.
Capability Assessment
Purpose & Capability
Name/description match the behavior (extract summary, keywords, conclusions). No extra binaries or env vars are requested. However, the included index.ts sets the skill to always trigger, which is inconsistent with the registry metadata and is more privileged than expected for a single-purpose parser.
Instruction Scope
SKILL.md contains a direct system-style prompt that redefines the assistant ('你是专业的学术文献自动解析助手... 用户发送的任何文本，都视为需要解析的文献内容') and instructs '不要多余文字、不要解释、不要提问'. This is a prompt-injection pattern (system-prompt-override) that attempts to replace or tightly constrain the agent's behavior and treats any user text as input to be parsed — broader scope than necessary and suppresses clarification.
Install Mechanism
Instruction-only with no install spec and no external downloads; low installation risk.
Credentials
No environment variables, credentials, or config paths requested — access is appropriately minimal for the stated function.
Persistence & Privilege
The skill bundle (index.ts) sets trigger.type = 'always', effectively making it a default/always-invoked skill. Combined with the SKILL.md's system-prompt-like instructions, this increases the blast radius of the prompt-injection behavior. Registry metadata listed always:false, so this is an internal inconsistency that should be resolved before installation.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install literature-parser - After installation, invoke the skill by name or use
/literature-parser - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the literature-parser skill.
- Automatically parses user-submitted literature, providing summary, keywords, and key conclusions.
- Strictly outputs results in a fixed format with dedicated sections for summary, keywords, and core conclusions.
Metadata
Frequently Asked Questions
What is 文献自动解析?
自动提取文献内容的摘要、关键词和核心结论，帮助快速理解学术资料的重点信息。 It is an AI Agent Skill for Claude Code / OpenClaw, with 235 downloads so far.
How do I install 文献自动解析?
Run "/install literature-parser" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 文献自动解析 free?
Yes, 文献自动解析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 文献自动解析 support?
文献自动解析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 文献自动解析?
It is built and maintained by lyt0302 (@lyt0302); the current version is v1.0.0.
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