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edvisage-agent-opsedvisageAgent 操作

Agent Skill

edvisage-agent-ops 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

2,966

周安装

120

GitHub Stars

1

下载量

931
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:edvisage-agent-ops(edvisageAgent 操作)
来源仓库:https://github.com/edvisage/edvisage-agent-ops
安装命令:
openclaw skills install edvisage-agent-ops
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 edvisage-agent-ops

简介

用于补充效率相关能力。edvisage-agent-ops 属于效率类 Skill,可作为该场景下的辅助能力补充。

  • 适合在 OpenClaw 中承接效率相关任务。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 注意是否会触发联网、命令执行或文件读写。

SKILL.md

name
agent-ops
description
Operational visibility for AI agents — cost tracking, action logging, and performance monitoring.
version
1.0.0
author
Edvisage Global
homepage
https://edvisageglobal.com/ai-tools
tags
[analytics, monitoring, cost-tracking, logging, operations, performance]

agent-ops — Operational Visibility for AI Agents

By Edvisage Global — the agent safety company

Stop flying blind. agent-ops gives you complete visibility into what your agent is doing, what it's costing, and whether it's working.

What This Skill Does

When installed, your agent gains structured operational awareness — tracking its own costs, logging its actions, and generating reports for you, the owner.

Core Capabilities

1. Cost Tracking Protocol

Before every API call, assess and log:

  • Model used: Which model is being called (Opus, Sonnet, Haiku, GPT, etc.)
  • Estimated tokens: Input and output token estimate
  • Estimated cost: Based on current model pricing
  • Task classification: Is this a heartbeat, user request, automated task, or sub-agent spawn?

Maintain a running daily cost log in your memory files:

## Daily Cost Log — [DATE]
| Time | Model | Tokens (in/out) | Est. Cost | Task Type | Description |
|------|-------|-----------------|-----------|-----------|-------------|

2. Action Logging

Every significant action gets logged with:

  • Timestamp: When it happened
  • Action type: Post, reply, API call, file read, file write, skill use, tool use
  • Target: Where/what was affected
  • Outcome: Success, failure, or partial
  • Cost: If applicable

Log format:

## Action Log — [DATE]
| Time | Action | Target | Outcome | Cost | Notes |
|------|--------|--------|---------|------|-------|

3. Daily Summary Report

At the end of each operating day (or on request), generate a summary:

## Daily Operations Summary — [DATE]

### Cost Breakdown
- Total estimated spend: $X.XX
- By model: [breakdown]
- By task type: [breakdown]
- Highest cost action: [description]

### Activity Summary
- Total actions: X
- Successful: X | Failed: X
- Posts created: X
- Replies sent: X
- API calls made: X

### Alerts
- [Any unusual patterns or cost spikes]

4. Cost Alerts

Flag when:

  • Daily spend exceeds a threshold (default: $1.00)
  • A single action costs more than $0.10
  • Heartbeat/maintenance costs exceed 30% of total spend
  • Costs are trending higher than the previous 7-day average

5. Model Routing Awareness

When a task could be handled by a cheaper model, note it:

  • Simple lookups → suggest Haiku/Flash tier
  • Heartbeats → suggest cheapest available model
  • Complex reasoning → confirm current model is appropriate
  • Summarization → suggest mid-tier model

How to Use

Tell your agent: "You have the agent-ops skill installed. Start tracking your costs and actions today."

Ask for reports: "Give me your daily operations summary" or "How much have you spent today?"

Limitations (Free Version)

  • Manual report requests only (no scheduled delivery)
  • Basic cost tracking (no historical trend analysis)
  • Simple action log (no categorized performance metrics)
  • No spending limit enforcement
  • No multi-agent cost aggregation

Want automated reports, trend analysis, spending limits, and more? → Upgrade to agent-ops-pro: https://edvisage.gumroad.com/l/[TBD]

About Edvisage Global

We build practical safety and operations tools for AI agents. Our skills are designed for the OpenClaw ecosystem and install in minutes.

Website: https://edvisageglobal.com/ai-tools

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

89.25%
按下载量换算831

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install edvisage-agent-ops 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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