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trustmeimworkingtrustmeimworking 开发

Agent Skill

trustmeimworking 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

2,081

周安装

85

GitHub Stars

公开资料未说明

下载量

673
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:trustmeimworking(trustmeimworking 开发)
来源仓库:https://github.com/pengtianhao48-lab/trustmeimworking
安装命令:
openclaw skills install trustmeimworking
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 trustmeimworking

简介

按计划模拟消耗 AI API 令牌以维持健康使用指标。

  • 支持工作流仿真、传播测试与即时模式三种运行方式。
  • 防止因闲置导致额度浪费或突发超限风险。trustmeimworking 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 消耗速率可配置,但无法完全替代真实业务流量。
  • 建议在沙箱环境先行验证调度策略有效性。

SKILL.md

name
trust-me-im-working
description
Automatically consume your AI API token quota on a schedule so your usage metrics always look healthy. Supports work-simulation, spread, and immediate modes with a real-time dashboard.
version
1.0.0
metadata
openclaw
emoji
🤖
homepage
https://github.com/pengtianhao48-lab/TrustMeImWorking
requires
bins
anyBins
install
package
rich
bins
[rich]
package
openai
bins
[]
package
requests
bins
[]

TrustMeImWorking

Automatically consume your AI API token quota on a schedule — so your usage metrics always look healthy.

What it does

TrustMeImWorking runs as a background daemon that calls your configured LLM API at controlled intervals, consuming tokens according to your daily/weekly budget. It supports three run modes:

ModeBehaviour
Work Simulation (recommended)Fires during working hours on weekdays, using realistic job-related prompts (code review, architecture design, data analysis…). Looks exactly like real usage.
SpreadDistributes today's budget evenly across the remaining hours, so consumption is smooth and natural-looking.
ImmediateStarts consuming right now; resets at 00:00 each day.

Quick start

# 1. Clone
git clone https://github.com/pengtianhao48-lab/TrustMeImWorking
cd TrustMeImWorking

# 2. Install dependencies
pip install -r requirements.txt

# 3. Configure (interactive wizard)
python3 tmw.py wizard

# 4. Start (real-time dashboard)
python3 tmw.py start

Wizard

The interactive wizard (python3 tmw.py wizard) walks you through:

  1. Language — English or 中文
  2. Platform — OpenAI, DeepSeek, Anthropic, Gemini, Groq, or Custom
  3. Base URL — official endpoint or a third-party relay / company gateway
  4. Model — with platform defaults pre-filled
  5. API Key — stored only in local config.json, never committed
  6. Weekly budget — min/max token range
  7. Job description — used to generate realistic work-simulation prompts
  8. Run mode — work / spread / immediate
  9. Work hours — start/end time, timezone (work mode only)
  10. Enterprise gateway — custom headers, proxy, mTLS, JWT (optional)

Dashboard

python3 tmw.py start opens a live dashboard that refreshes every 2 seconds:

╭──────────────────────────────────────────────────────────────────────╮
│ TrustMeImWorking   Platform: DeepSeek   Mode: Work-Simulation        │
│                    Uptime: 01m 23s      Config: config.json          │
╰──────────────────────────────────────────────────────────────────────╯
╭─────────────────────────── Consumption ──────────────────────────────╮
│ Today      ████████████████████████░░░░   12,345 / 14,000  (88%)    │
│ This week  ███████████████████████░░░░░   67,890 / 50,000–80,000    │
╰──────────────────────────────────────────────────────────────────────╯
╭──────────────────────────── Session ─────────────────────────────────╮
│ ● ACTIVE  This session: 1,234 / 8,800  (14%)                         │
│ ███░░░░░░░░░░░░░░░░░░░░░░░░░                                         │
│ Today's progress:  5,200 / 14,000  (37%)                             │
│ Prompt: How does Kubernetes handle container orchestration…           │
╰──────────────────────────────────────────────────────────────────────╯
  Press Ctrl+C to stop

Commands

CommandDescription
python3 tmw.py wizardInteractive setup wizard
python3 tmw.py startStart daemon with live dashboard
python3 tmw.py start -bStart as background daemon (silent)
python3 tmw.py stopStop background daemon
python3 tmw.py logsView recent log (last 50 lines)
python3 tmw.py logs -n 200View more log lines
python3 tmw.py statusShow consumption stats
python3 tmw.py runRun one session immediately
python3 tmw.py run --dry-runSimulate without calling the API

Requirements

  • Python 3.8+
  • pip install -r requirements.txt (rich, openai, requests)
  • An API key for any OpenAI-compatible LLM service

Configuration

All settings are stored in config.json (auto-generated by the wizard). The file is listed in .gitignore and never committed.

Supported platforms

OpenAI · DeepSeek · Anthropic · Google Gemini · Groq · Any OpenAI-compatible endpoint (Ollama, vLLM, LM Studio, SiliconFlow, company gateways, etc.)

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

94.88%
按下载量换算639

安全审计

VirusTotal

可疑

ClawScan

通过

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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