Prediction Market Arbiter
PassAudited by ClawScan on May 10, 2026.
Overview
This appears to be a legitimate prediction-market price scanner, but it needs Kalshi API credentials and makes external API calls, so users should verify credential scope and review outputs before trading.
Install only if you are comfortable giving the skill access to a Kalshi API key/private key and letting it query Kalshi and Polymarket. Use the least-privileged credentials available, inspect the pinned Python dependencies, and verify any reported arbitrage opportunity manually before trading.
Findings (4)
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.
The skill can use Kalshi API credentials from your local configuration; if those credentials are overpowered or mishandled, your account could be at risk.
The script reads a configured Kalshi API key ID and private key file to authenticate to Kalshi. This is disclosed and purpose-aligned, but it is still account credential access.
key_id = kalshi_cfg.get("api_key_id") ... key_file = kalshi_cfg.get("private_key_file") ... with open(key_file, "r") as f: sdk_config.private_key_pem = f.read()Use a dedicated or read-only Kalshi API credential if available, protect the private key file, and avoid sharing a config file that contains unrelated secrets.
Running the skill contacts external market APIs and may create provider-side usage logs or encounter rate limits.
The script makes external API calls to prediction-market providers to fetch market data, which is expected for a cross-platform scanner.
url = "https://gamma-api.polymarket.com/markets?closed=false&limit=200&order=volume&ascending=false" ... urllib.request.urlopen(req, timeout=15)
Run it only when you intend to query those services, and review provider API terms and rate limits.
You have less provenance information than with a skill that links to a known source repository or homepage.
The artifact has limited provenance and no automated install spec, so users must rely on the provided files and manually installed dependencies.
Source: unknown; Homepage: none; Install specifications: No install spec — this is an instruction-only skill.
Review the included files and install only the pinned dependencies from trusted package sources.
A false match could lead to a bad trading signal if another tool or a user acts on it without review.
The skill is described as part of a broader trading stack, so inaccurate fuzzy matches or stale divergence signals could affect downstream workflows if users connect them to execution tools.
divergences feed into Market Morning Brief and pair with Kalshi Command Center for execution
Keep human review in the loop before placing trades, and tune match, volume, and divergence thresholds conservatively.