Skill scan report

apiclaw-analysis

View on GitHub

14 Low This skill contains obfuscated or hidden content. Automated analysis flagged 1 additional risk pattern.

What this skill does

Amazon product research and seller analytics using the APIClaw API

github/leoyeai - MCP Rug Pull - 2.1k stars

ThreatsMCP Rug Pull Obfuscation

Threat analysis

MCP Rug Pull1 finding

Obfuscation1 finding

Skill info

Nameleoyeai/apiclaw-analysis

Registrygithub

Versione5199b5

PURLpkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=apiclaw-analysis

Stars2.1k

SourceView on GitHub

Assessments (2)

MCP Rug Pull1 finding MEDIUM

MEDIUM

MCP Rug Pull via local-llm-review

README.md

The README.md file contains a placeholder for the API key (`hms_live`) in a code example. This could be misleading or potentially used to trick users into exposing their credentials.

Obfuscation1 finding LOW

LOW

Obfuscation via local-llm-review

_meta.json

The commit URL in `_meta.json` points to a GitHub commit that may not be fully transparent or auditable, potentially raising concerns about the origin and integrity of the skill.

Badge

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Markdown

[![Anomity Skill Check](https://anomity.ai/skills/badge.svg)](https://anomity.ai/skills/github/leoyeai/apiclaw-analysis/)

HTML

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Image URL

https://anomity.ai/skills/badge.svg

How Anomity governs this at runtime

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of apiclaw-analysis? Report an issue or request a rescan.