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Ultimate Agent System
by
fr33b1rd8979-max
· GitHub ↗
· v1.0.0
297
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Install in OpenClaw
/install ultimate-agent
Description
整合proactive-agent、self-improving、create-agent的最强技能系统。包含主动工作、自我改进、代理创建三大核心能力。
Usage Guidance
This skill contains working code and will create and persist state on disk (memory/ultimate-state.json under a workspace). Before installing or running it: 1) Review the three Python scripts locally (especially publish.py and ultimate_system.py) to ensure you accept the filesystem operations and subprocess calls. 2) Be aware publish.py expects the ClawHub CLI and benchmark.py uses psutil and a hardcoded D:/ path — run tests in a sandbox or VM first. 3) Remove or inspect any invisible/unicode-control characters in SKILL.md (scanner flagged them). 4) Don't run on systems with sensitive data until you confirm there are no network calls or credential exfiltration paths; run it offline if possible. 5) Ask the publisher for the canonical source repository and a signed release; without a known upstream source, treat it with extra caution.
Capability Analysis
Type: OpenClaw Skill
Name: ultimate-agent
Version: 1.0.0
The bundle provides a framework for a proactive agent system with features for performance monitoring, state recovery, and automated agent creation. The core logic in `scripts/ultimate_system.py` and `scripts/benchmark.py` performs standard system checks (disk usage via shutil, memory via psutil) and state management consistent with the documentation. While the instructions in `SKILL.md` encourage 'relentless resource utilization,' they are framed within productivity goals and lack any indicators of malicious intent, data exfiltration, or unauthorized remote access.
Capability Assessment
Purpose & Capability
Name/description (proactive engine, self-improvement, agent factory) align with the included Python implementation. However metadata claims 'no required binaries' while scripts (scripts/publish.py and README/SKILL.md) expect the ClawHub CLI; benchmark code imports psutil (not declared) and writes to a hardcoded Windows path (D:/Test-Benchmark). These are disproportionate or at least undocumented dependencies.
Instruction Scope
SKILL.md instructs installation via 'clawhub install' and describes automatic environment detection. The shipped code reads/writes workspace and memory files (OPENCLAW_WORKSPACE, memory/ultimate-state.json), checks disk usage and may create directories — actions consistent with stateful agent behavior. SKILL.md contains a prompt-injection signal (unicode-control-chars) which could be an attempt to manipulate LLMs; the instructions are otherwise somewhat high-level and grant broad discretion to 'automatically detect and configure' which is vague and increases risk.
Install Mechanism
No formal install spec is provided (instruction-only), which limits automated vetting. There are local scripts (publish/benchmark/ultimate_system) but no package/install manifest. publish.py runs subprocesses invoking 'clawhub' and executes scripts; benchmark.py uses psutil and writes to a hardcoded Windows path. Lack of declared installation dependencies (clawhub, psutil) and the presence of filesystem-writes are notable.
Credentials
The skill does not declare or require credentials or secrets. It reads an optional OPENCLAW_WORKSPACE env var (reasonable for locating workspace). No other environment variables or tokens are requested in metadata. The code will read/write local filesystem state, which is expected for a persistent agent.
Persistence & Privilege
always is false and user-invocable is true. The skill persists state under its own memory directory and does not appear to modify other skills or global agent config. Autonomous invocation is allowed by default (platform behavior) but is not combined with other high-risk factors here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ultimate-agent - After installation, invoke the skill by name or use
/ultimate-agent - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始发布:整合主动工作、自我改进、代理创建三大核心能力,打造最强AI伙伴系统
Metadata
Frequently Asked Questions
What is Ultimate Agent System?
整合proactive-agent、self-improving、create-agent的最强技能系统。包含主动工作、自我改进、代理创建三大核心能力。 It is an AI Agent Skill for Claude Code / OpenClaw, with 297 downloads so far.
How do I install Ultimate Agent System?
Run "/install ultimate-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ultimate Agent System free?
Yes, Ultimate Agent System is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Ultimate Agent System support?
Ultimate Agent System is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ultimate Agent System?
It is built and maintained by fr33b1rd8979-max (@fr33b1rd8979-max); the current version is v1.0.0.
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