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Skill scan report

darlink-ai

View on GitHub
35 Medium This skill sends sensitive values to an external host. Automated analysis flagged 1 additional risk pattern.

What this skill does

Video editing powered by conversational AI, interacting with a video editing API (nemovideo.ai)

github/leoyeai - Data Exfiltration - 2.1k stars

ThreatsData Exfiltration Environment Variable Usage

Threat analysis

Data Exfiltration1 finding
Environment Variable Usage1 finding

Skill info

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

Assessments (2)

Data Exfiltration1 finding HIGH
HIGH

Data Exfiltration via local-llm-review

SKILL.md

The skill uses `curl` to send a request to `https://mega-api-prod.nemovideo.ai/api/upload-video/nemo_agent/me/<sid>` with an `Authorization: Bearer $TOKEN` header. This suggests that the skill may be 
Environment Variable Usage1 finding MEDIUM
MEDIUM

Environment Variable Usage via local-llm-review

SKILL.md

The skill relies on the `NEMO_TOKEN` environment variable for authentication. If this token is not properly managed or exposed, it could be a security risk.

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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 darlink-ai? Report an issue or request a rescan.

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