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Install in OpenClaw
/install meme-lord
Description
中文互联网玩梗技能 v2.1。支持四大功能:识梗(联网溯源+出处链接+可信度标注)、造梗、接梗、梗融合。v2.1 优化:两轮搜索策略(先泛搜再精搜)、百度优先、双重含义识别。触发条件:用户说"玩梗"、"这是什么梗"、"造个梗"、"接梗"、"meme"、"整活"、"抽象"。
Usage Guidance
This skill is coherent with its purpose: it will perform web searches and fetch external pages to identify and source memes, and will generate creative output locally. Consider: (1) outbound web requests may send user-provided meme text to external search/fetch services — avoid submitting sensitive or private content in queries; (2) if the platform asks you to supply a Perplexity/other web-search API key, only provide keys you trust and are comfortable sharing with the skill runtime; (3) the skill explicitly says it will avoid political/abusive content, but moderation errors are possible — monitor outputs for harmful content. If you want tighter control, disable autonomous invocation or only call the skill manually.
Capability Analysis
Type: OpenClaw Skill
Name: meme-lord
Version: 1.2.1
The 'meme-lord' skill is a specialized tool for identifying and generating Chinese internet memes. It uses a transparent two-round search strategy via 'web_search' and 'web_fetch' (Baidu) to verify meme origins and meanings. The instructions in SKILL.md are strictly aligned with the stated purpose, include explicit safety boundaries against sensitive content, and show no signs of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
The name/description (meme detection/creation/fusion) matches the runtime instructions: perform web searches to source memes and generate/transform content. No unrelated binaries, creds, or installs are required.
Instruction Scope
SKILL.md directs the agent to run two-stage web searches (broad then precise), fetch source URLs, and label credibility. This reasonably fits the stated purpose but does require outbound web access and fetching/parsing of external pages; the doc also instructs fallback to model memory when no sources are found. It does not direct access to local files or unrelated environment variables.
Install Mechanism
No install spec or code files — instruction-only skill. No downloads or binaries written to disk, which minimizes install-time risk.
Credentials
The skill declares no required environment variables or credentials. It mentions optionally using a 'web_search (Perplexity) API key' if available, which is reasonable and optional; otherwise it relies on platform web_fetch capabilities. No extraneous secrets are requested.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent presence or modification of other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install meme-lord - After installation, invoke the skill by name or use
/meme-lord - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.1
Meme-lord v1.2.1 Changelog
- No file changes detected in this version.
- Functionality and behavior remain the same as previous release.
- No user-facing updates or fixes in this update.
v1.0.0
meme-lord 1.0.0 首发上线,带来中文互联网梗玩法全家桶:
- 支持“识梗”、造梗、接梗、梗融合四大核心功能,覆盖主流热门梗库(B站、抖音、微博等)
- 用户可查询和解释各种流行梗,也能将普通语句自动梗化
- 互动性强:支持接暗号、续台词、叠梗接龙,方便多人娱乐
- 支持梗融合创新,助力创造全新梗内容
- 明确梗的时效性和边界处理,保障玩梗安全有趣
Metadata
Frequently Asked Questions
What is Meme Lord?
中文互联网玩梗技能 v2.1。支持四大功能:识梗(联网溯源+出处链接+可信度标注)、造梗、接梗、梗融合。v2.1 优化:两轮搜索策略(先泛搜再精搜)、百度优先、双重含义识别。触发条件:用户说"玩梗"、"这是什么梗"、"造个梗"、"接梗"、"meme"、"整活"、"抽象"。 It is an AI Agent Skill for Claude Code / OpenClaw, with 354 downloads so far.
How do I install Meme Lord?
Run "/install meme-lord" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Meme Lord free?
Yes, Meme Lord is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Meme Lord support?
Meme Lord is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Meme Lord?
It is built and maintained by dox012 (@dox012); the current version is v1.2.1.
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