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Skill scan report

store-longevity-radar

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

What this skill does

This skill is designed to extract business data from public datasets, specifically to identify long-lasting stores based on historical and current snapshots of business information. It does not involv

github/nomadamas - Insecure HTTP Usage - 7.1k stars

ThreatsInsecure HTTP Usage Incomplete Code

Threat analysis

Insecure HTTP Usage1 finding
Incomplete Code1 finding

Skill info

Namenomadamas/store-longevity-radar
Registrygithub
Version44fbaca
PURLpkg:github/NomaDamas/k-skill@44fbaca?skill=store-longevity-radar
Stars7.1k

Assessments (2)

Insecure HTTP Usage1 finding MEDIUM
MEDIUM

Insecure HTTP Usage via local-llm-review

scripts/store_longevity_radar.py

The code uses `http_get` with `urllib.request.urlopen` without enforcing HTTPS, which could expose data to interception or man-in-the-middle attacks.
Incomplete Code1 finding LOW
LOW

Incomplete Code via local-llm-review

scripts/store_longevity_radar.py

The function `discover_atch_file_id` is incomplete and ends with an incomplete `if` statement, which may cause runtime errors or unexpected behavior.

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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 store-longevity-radar? Report an issue or request a rescan.

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