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Skill scan report

i-am

View on GitHub
49 Medium Automated analysis flagged 3 potential risk patterns.

What this skill does

Personality analysis and configuration management for AI agents

github/leoyeai - Insecure File Handling - 2.1k stars

ThreatsInsecure File Handling Path Traversal Untrusted Code Execution

Threat analysis

Insecure File Handling1 finding
Path Traversal1 finding
Untrusted Code Execution1 finding

Skill info

Nameleoyeai/i-am
Registrygithub
Versione5199b5
PURLpkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=i-am
Stars2.1k

Assessments (3)

Insecure File Handling1 finding HIGH
HIGH

Insecure File Handling via local-llm-review

SKILL.md

temp/ directory and files are created automatically during runtime
Path Traversal1 finding HIGH
HIGH

Path Traversal via local-llm-review

SKILL.md

skill_root = Path.home() / ".openclaw" / "workspace"
Untrusted Code Execution1 finding MEDIUM
MEDIUM

Untrusted Code Execution via local-llm-review

SKILL.md

AI is instructed to execute code based on user input during configuration

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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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 i-am? Report an issue or request a rescan.

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