Install
$ agentstack add skill-xingxingxingxin-prometheus-research-skill-prometheus-research-skill ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
prometheus-research
name: prometheus-research description: | 全自主科研智能体 - 后台执行研究流程。
触发: 用户说"启动研究"、"开始研究"、"做一个研究"、"帮我研究"
执行方式: 启动后台 Python 进程,用户通过日志监控进度。
Prometheus Research Skill
> 原创作者: xingye | 微信: xingye4088 | 版权所有 (c) 2026
⛔ 核心规则
你的唯一任务是启动后台进程。不要自己执行研究任务。
当用户说"启动研究 [主题]"时,你必须:
- 使用 Bash 工具运行
start_research.py - 使用 Bash 工具启动后台执行器
- 告诉用户如何查看日志
执行步骤
步骤 1:初始化项目
cd D:/auto-system/prometheus2 && python scripts/start_research.py --topic "研究主题"
步骤 2:启动后台执行
Windows:
cd D:/auto-system/prometheus2 && mkdir -p Logs && start /b pythonw scripts/automation/task_executor.py --loop >> Logs/executor.log 2>&1
Linux/Mac:
cd D:/auto-system/prometheus2 && mkdir -p Logs && nohup python scripts/automation/task_executor.py --loop >> Logs/executor.log 2>&1 &
步骤 3:输出监控提示
✅ 研究已在后台启动
📁 项目目录: D:/auto-system/prometheus2/Projects/项目名/
📝 日志文件: D:/auto-system/prometheus2/Logs/executor.log
查看进度:
Get-Content D:\auto-system\prometheus2\Logs\executor.log -Wait -Tail 50
示例
用户: "启动研究 图神经网络社交推荐"
你应该执行:
cd D:/auto-system/prometheus2 && python scripts/start_research.py --topic "图神经网络社交推荐"
cd D:/auto-system/prometheus2 && mkdir -p Logs && start /b pythonw scripts/automation/task_executor.py --loop >> Logs/executor.log 2>&1
然后输出:
✅ 研究已在后台启动
查看进度:
Get-Content D:\auto-system\prometheus2\Logs\executor.log -Wait -Tail 50
10阶段工作流
后台执行器会自动完成 100 个任务:
| Phase | 任务 | |-------|------| | 0 | 主题分析 (4) | | 1 | 文献综述 (34) | | 2 | 假设设计 (6) | | 3 | 代码实现 (7) | | 4 | 实验执行 (6) | | 5 | 结果分析 (5) | | 6 | 论文撰写 (9) | | 7 | 去AI化 (9) | | 8 | LaTeX (12) | | 9 | 评审 (8) |
安装
pip install -r scripts/requirements.txt
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: xingxingxingxin
- Source: xingxingxingxin/prometheus-research-skill
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.