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Skill scan report

seoul-bike

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

What this skill does

The skill 'seoul-bike' is a tool for querying real-time availability of Seoul Bike stations, including nearby stations based on coordinates, searching by keyword, and fetching raw data.

github/nomadamas - Insecure Defaults - 7.1k stars

ThreatsInsecure Defaults Hardcoded Timeout

Threat analysis

Insecure Defaults1 finding
Hardcoded Timeout1 finding

Skill info

Namenomadamas/seoul-bike
Registrygithub
Version44fbaca
PURLpkg:github/NomaDamas/k-skill@44fbaca?skill=seoul-bike
Stars7.1k

Assessments (2)

Insecure Defaults1 finding MEDIUM
MEDIUM

Insecure Defaults via local-llm-review

scripts/seoul_bike.py

The code uses a default proxy base URL (`DEFAULT_PROXY_BASE_URL = 'https://k-skill-proxy.nomadamas.org'`), which could be a potential risk if the proxy is not properly secured or if it's used to relay
Hardcoded Timeout1 finding LOW
LOW

Hardcoded Timeout via local-llm-review

scripts/seoul_bike.py

The code uses a hardcoded timeout (`TIMEOUT_SEC = 15`), which may not be optimal for all network conditions and could lead to unnecessary failures or delays.

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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 seoul-bike? Report an issue or request a rescan.

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