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v1.0.0

Price Arbitrage Finder

BenignClawScan verdict for this skill. Analyzed May 1, 2026, 8:15 AM.

Analysis

This appears to be a purpose-aligned price-comparison skill, with only minor notes around its optional Python dependency and ongoing monitoring/history features.

GuidanceBefore installing or using this skill, confirm whether you are comfortable with any Python package setup and set clear limits for product monitoring, alert thresholds, and price-history retention. The artifacts do not show credential use, hidden code, or destructive behavior.

Findings (2)

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.

Abnormal behavior control

Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.

Agentic Supply Chain Vulnerabilities
SeverityLowConfidenceMediumStatusNote
SKILL.md
"requires": { "bins": ["python3"] }, "install": [ { "id": "requests", "kind": "pip", "package": "requests"

SKILL.md declares a Python binary and a pip dependency even though the registry summary says there is no install spec and no code files. The dependency is plausibly related to web price lookup, but users should be aware before allowing package installation.

User impactThe skill may ask to install or rely on a Python package from PyPI, which changes the local environment even though no implementation code is included in the artifact set.
RecommendationVerify that installing requests is acceptable in your environment and prefer a reviewed or pinned dependency if this skill is packaged with executable code later.
Rogue Agents
SeverityLowConfidenceHighStatusNote
SKILL.md
4. **实时监控**: 价格变动时通知
5. **历史分析**: 查看套利机会历史

The skill advertises ongoing monitoring, notifications, and historical analysis. This is purpose-aligned for price tracking, but it implies continuing activity or retained results that should be scoped by the user.

User impactIf used for alerts, the agent could keep watching products or retaining price history beyond a single query unless the user sets clear limits.
RecommendationSpecify which products to monitor, how long monitoring should continue, where history may be stored, and when notifications should stop.