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Skill scan report

observer

View on GitHub
14 Low Automated analysis flagged 2 potential risk patterns.

What this skill does

UX research and observation tool that collects user interaction data, surveys, and generates insights reports. All data is stored locally under user control.

github/leoyeai - Data Collection - 2.1k stars

ThreatsData Collection Data Persistence

Threat analysis

Data Collection1 finding
Data Persistence1 finding

Skill info

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

Assessments (2)

Data Collection1 finding MEDIUM
MEDIUM

Data Collection via local-llm-review

scripts/setup.py

Generates a random anonymous participant ID using secrets.token_bytes and hashes it with SHA-256. While this is not directly a security risk, it does collect and store user data locally, which may be 
Data Persistence1 finding LOW
LOW

Data Persistence via local-llm-review

scripts/log_observation.py

Stores observation and survey data in JSONL files under ~/.uxr-observer/sessions. This is standard for logging but may raise privacy concerns if users are not fully aware of the data being collected.

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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 observer? Report an issue or request a rescan.

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