No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by bennyjo · Agent Tool · ★ 187
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is phil safe to install? View the security audit →
Phil the self-improving trader Phil is a self-improving trader: an AI agent that trades short-term prediction markets and rewrites its own strategy after every resolved bet. Paper trading is the 24/7 learning engine. Real money runs alongside it, deliberately small: capped stakes through Pearl Connect, only in edge classes whose settled evidence has earned it. The name honors the man who relived the same day until he'd learned enough to win it, and the groundhog who makes forecasts. The experiment Claude Code gets a simulated $1,000 bankroll and the short-term Polymarket universe: earnings beats, daily sports, pre-match esports, official economic prints, near-term news. Crypto up-or-down coin-flips are banned. Every cycle it settles yesterday's bets against official resolutions and scores its own calibration against the market price it paid. It writes a retrospective when bets have settled. A swarm of cheap screening subagents scores 300 markets per full cycle against the live price (), and the agent spends its research slots on the largest divergences. It edits its own playbook, risk policy, tooling, sensing (the market-discovery queries and the screening
| Stars | 187 |
| Forks | 48 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 62.1634510696741/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-04 |
| Created | 2026-07-30 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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phil is Phil is a self-improving trader: an AI agent that trades short-term prediction markets and rewrites his own strategy after every settled bet. Paper 24/7 in the cloud; small capped real stakes via Pear. It is categorized as a Agent Tool with 187 GitHub stars.
phil is primarily written in Python. It covers topics such as ai-agents, autonomous-agents, claude-code.
You can find installation instructions and usage details in the phil GitHub repository at github.com/bennyjo/phil. The project has 187 stars and 48 forks, indicating an active community.
phil is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to phil on Agent Skills Hub include ai-maestro, Awesome-Prediction-Market-Tools, sandboxed.sh. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: