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polymarket-science-milestones-trader
Trades Polymarket prediction markets on scientific breakthroughs, Nobel Prizes, physics discoveries, and research milestones using the Simmer SDK.
A legitimate Polymarket trading bot for scientific milestone prediction markets. No malicious indicators found; all behavior is declared and transparent.
可以安装
No action required. The skill is a straightforward trading bot. Consider pinning simmer-sdk to a specific version in clawhub.json for supply-chain hygiene.
安全发现 1 项
| 严重性 | 安全发现 | 位置 |
|---|---|---|
| 低危 | simmer-sdk dependency not version-pinned 供应链 | clawhub.json:7 |
| 资源类型 | 声明权限 | 推断权限 | 状态 | 证据 |
|---|---|---|---|---|
| 文件系统 | NONE | NONE | — | No file reads or writes in trader.py |
| 网络访问 | READ | READ | ✓ 一致 | Only Polymarket API calls through SimmerClient; documented in SKILL.md |
| 命令执行 | NONE | NONE | — | No subprocess, os.system, or shell execution in trader.py |
| 环境变量 | READ | READ | ✓ 一致 | Only reads SIMMER_* prefixed env vars declared in clawhub.json |
| 技能调用 | NONE | NONE | — | No skill-to-skill invocation |
| 剪贴板 | NONE | NONE | — | No clipboard access |
| 浏览器 | NONE | NONE | — | No browser automation |
| 数据库 | NONE | NONE | — | No database access |
目录结构
3 文件 · 28.2 KB · 583 行 Python 1f · 388L
Markdown 1f · 122L
JSON 1f · 73L
├─
clawhub.json
JSON
├─
SKILL.md
Markdown
└─
trader.py
Python
依赖分析 1 项
| 包名 | 版本 | 来源 | 已知漏洞 | 备注 |
|---|---|---|---|---|
simmer-sdk | * | pip | 否 | Version not pinned — allowed to float to any release |
安全亮点
✓ No shell execution, subprocess, or system command invocation
✓ No base64 decoding, obfuscation, or anti-analysis patterns
✓ No access to sensitive paths (~/.ssh, ~/.aws, .env, credentials directories)
✓ No data exfiltration or C2 communication
✓ No credential harvesting beyond the declared SIMMER_API_KEY
✓ Paper trading (venue=sim) is the safe default — live mode requires explicit --live flag
✓ SKILL.md accurately describes all behavior with no documentation-to-code mismatch
✓ No cron/autostart configuration — skill does not run automatically
✓ Code is readable and transparent — all logic is inlined in trader.py
✓ Flip-flop and slippage safeguards are implemented for financial protection