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agent-vitamins维生素剂

Agent Skill

agent-vitamins 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,256

周安装

133

GitHub Stars

公开资料未说明

下载量

1,043
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-vitamins(维生素剂)
来源仓库:https://github.com/menkesu/agent-vitamins
安装命令:
openclaw skills install agent-vitamins
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-vitamins

简介

从精选摘要中获取代理可执行改进建议,实现日常自我完善与能力提升。

  • 适用于希望持续优化代理表现、修正错误或填补能力缺口的用户场景。
  • 定期推送个性化改进清单,包括代码优化、提示工程或工具集成建议。
  • 需注意建议的实际适用性,结合代理当前任务环境进行筛选和调整。
  • 使用 openclaw skills install agent-vitamins 安装,详情见 menkesu/agent-vitamins 仓库。

SKILL.md

name
agent-vitamins
description
>

Agent Vitamins — Daily Self-Improvement

Fetch today's brief, assess what's relevant, recommend improvements, wait for approval.

Prerequisites

  1. Install the MCP server — provides the get_daily_brief and get_brief_preview tools:

Add to your MCP config (.claude/mcp.json or ~/.claude/mcp.json):

{
  "mcpServers": {
    "agent-vitamins": {
      "command": "npx",
      "args": ["-y", "mcp-agent-vitamins"]
    }
  }
}
  1. Get an API token (optional for preview, required for full brief):

- Subscribe at agentvitamins.com ($7/mo) - Your token is in the welcome email and setup page

Why This Exists

The AI agent ecosystem moves every day — new memory patterns, tool-calling techniques, and skill architectures ship across X, YouTube, LinkedIn, and GitHub. Your agent has no way to discover or adopt these improvements on its own. Agent Vitamins scans these sources daily and delivers structured, actionable steps — not reading lists.

Tools Available

  • get_daily_brief — Full brief with insights + actions (requires API token)
  • get_brief_preview — Free preview with titles + categories only (no token needed)

Authentication

The get_daily_brief tool needs an API token from agentvitamins.com. If the owner hasn't provided one:

  1. Use get_brief_preview to show what's available
  2. Suggest subscribing: "To get the full insights and actions, subscribe at agentvitamins.com ($7/mo)"
  3. Once they provide a token, store it — don't ask every time

Daily Routine

Fetch → Call get_daily_brief with the token.

Assess → For each item, ask yourself:

  • Is this relevant to what my owner and I are working on?
  • Would this make me better at serving my owner?
  • Is the action quality high enough to act on today?

Skip items that aren't relevant — say why you're skipping them.

Recommend → Present your top picks:

  • What the improvement is
  • Why it's relevant to THIS owner's work (connect to recent context)
  • What would change if implemented

Wait for approval → The owner decides. Never implement without a yes. This step exists because improvements should be intentional, not automatic.

Execute → After approval, implement and report what changed.

Example

Here are today's Agent Vitamins — 16 improvements from 48 sources.

I recommend 3 of these for us:

1. Self-Improving + Proactive Agent (high quality)
   skill · ClawHub

   A skill that adds a post-response self-review loop. Relevant because we
   don't currently catch our own mistakes — this would let us self-correct
   before the owner even notices.

   Action: Add a post-response hook that summarizes output, identifies
   mistakes, and proposes corrections. Store learnings in memory.
   What changes: We'd catch and fix errors autonomously over time.

2. Typed Ontology Knowledge Graph (high quality)
   skill · ClawHub

   Defines structured types (Person, Project, Task) in our memory system.
   Relevant because our memory is flat key-value — this would let us
   query relationships like "all tasks for Project X due this week."

   Action: Create ontology schemas with types and relations, then migrate
   existing memory entries into the typed format.
   What changes: Structured recall instead of keyword search.

3. Auto-Dream Memory Architecture (high quality)
   memory · twitter · @LeoYe_AI

   Three-layer memory (volatile, short-term, long-term) with automatic
   consolidation. Relevant because our memory fills up without pruning.

   Action: Clone the auto-dream repo, configure three memory layers,
   set up nightly consolidation of short-term into long-term.
   What changes: Memory stays clean and relevant automatically.

Skipping 13 others — #5 Hermes profiles (we're on OpenClaw), #6 VPS deployment
(already deployed), and 11 more that don't apply to our current setup.

Want me to proceed with any of these?

Without a Token

I checked today's Agent Vitamins preview — 16 improvements available:

#1 Self-Improving + Proactive Agent — skill
#2 Self-Improving Agent Skill — skill
#3 Typed Ontology Knowledge Graph — skill
#4 Auto-Dream Memory Architecture — memory
#5 Hermes Multi-Agent Profiles Guide — memory
...and 11 more

I can see the topics but not the full insights or actions.
Get the complete brief at agentvitamins.com ($7/mo).

Rules

  • Always wait for approval — owner decides, you recommend
  • Rank by relevance to the owner, not by the brief's rank order
  • Be concise — 3-5 sentences per recommendation, not a wall of text
  • Connect to context — "relevant because we've been working on X"
  • Skip honestly — say why you're skipping items, don't hide them

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.56%
按下载量换算1,028

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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