Trusted — Risk Score 5/100
Last scan:1 day ago Rescan
5 /100
polymarket-24h-price-curve-arb-trader
Trades structural mispricings in crypto price-threshold markets on Polymarket by reconstructing implied probability distribution curves across strike levels.
A legitimate Polymarket arbitrage trading bot using the simmer-sdk client; paper trading by default, no shell/network primitives, no credential exfiltration, and documentation matches implementation.
Skill Namepolymarket-24h-price-curve-arb-trader
Duration22.4s
Enginepi
Safe to install
No action needed. The skill is a straightforward trading algorithm with appropriate safety defaults and no security violations.
ResourceDeclaredInferredStatusEvidence
Network READ READ ✓ Aligned trader.py:1 — simmer_sdk.network calls only
Environment READ READ ✓ Aligned trader.py:32-42 — direct os.environ.get() for named vars only
Filesystem NONE NONE No file I/O in trader.py
Shell NONE NONE No subprocess/os.system calls in trader.py

File Tree

3 files · 26.0 KB · 684 lines
Python 1f · 475L Markdown 1f · 122L JSON 1f · 87L
├─ 📋 clawhub.json JSON 87L · 1.9 KB
├─ 📝 SKILL.md Markdown 122L · 5.3 KB
└─ 🐍 trader.py Python 475L · 18.7 KB

Dependencies 1 items

PackageVersionSourceKnown VulnsNotes
simmer-sdk unpinned pip No No version constraint in clawhub.json; verify source is https://pypi.org/project/simmer-sdk/ before install

Security Positives

✓ No shell or subprocess execution — all logic is pure Python
✓ No credential exfiltration — SIMMER_API_KEY is used only for SDK auth
✓ No iteration over os.environ — only named, declared environment variables are read
✓ Paper trading is the default (sim venue); live trading requires explicit --live flag
✓ autostart: false and cron: null — nothing runs automatically
✓ SDK client (simmer-sdk) handles all network I/O; no raw socket/curl usage
✓ No base64, obfuscation, or anti-analysis patterns
✓ Documentation (SKILL.md) accurately describes the implementation
✓ Skill name, author (Diagnostikon), and purpose are consistent across all files