Polymarket Trader 1.0.0

PassAudited by ClawScan on May 1, 2026.

Overview

This appears to be a transparent Binance-data analysis helper for a Polymarket trading strategy, not an order-executing or credential-using skill, but it can influence financial decisions and read local trade logs.

Use this skill as an analysis aid, not as an autonomous trader. Be comfortable with Binance API queries and local trade-log analysis, and require explicit confirmation before any real-money trade is placed by another tool or agent.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Users could make or automate trading decisions based on the strategy guidance.

Why it was flagged

The skill provides trading entry and exit rules. This is purpose-aligned, but it can influence financial actions if a user or connected agent applies it to real funds.

Skill content
Trade only when there is measurable edge ... Enter only if `edge = fair_prob - market_price` exceeds a threshold.
Recommendation

Use paper trading or explicit human approval before any real-money Polymarket trades, and do not let connected trading tools place orders solely from these rules.

What this means

Binance will receive the queried market parameters, and the strategy depends on live external data quality.

Why it was flagged

The helper makes disclosed, purpose-aligned network requests to Binance using request parameters such as symbol, interval, and limit.

Skill content
BASE = "https://api.binance.com" ... urllib.request.urlopen(url, timeout=20)
Recommendation

Allow this only if Binance API access is expected, verify the queried symbol and time window, and avoid treating the output as guaranteed financial truth.

What this means

Local trading history may appear in the agent transcript or console output.

Why it was flagged

The fill-explanation helper reads a local persistent trade-log file and prints selected fill information. This is scoped and purpose-aligned, but trade logs can be sensitive.

Skill content
ap.add_argument("--events", default="events.jsonl") ... with open(args.events, "r", encoding="utf-8") as f:
Recommendation

Keep events.jsonl limited to the intended trade logs, do not point --events at unrelated sensitive files, and avoid sharing transcripts that include private fill data.