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Skill scan report

fluidsim

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

What this skill does

Scientific simulation and analysis

github/k-dense-ai - Dependency Management - 33.1k stars

ThreatsDependency Management Documentation

Threat analysis

Dependency Management1 finding
Documentation1 finding

Skill info

Namek-dense-ai/fluidsim
Registrygithub
Version3956e54
PURLpkg:github/K-Dense-AI/scientific-agent-skills@3956e54?skill=fluidsim
Stars33.1k

Assessments (2)

Dependency Management1 finding MEDIUM
MEDIUM

Dependency Management via local-llm-review

references/installation.md

The installation instructions recommend using uv to create a lock file and record specific versions of packages, but do not enforce or verify the integrity of the lock file or its contents. This could
Documentation1 finding LOW
LOW

Documentation via local-llm-review

references/advanced_features.md

The documentation mentions 'forcing_rate' and warns against calling it 'energy input' without verification, but does not explicitly state that this parameter could be misinterpreted or misused in cert

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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 fluidsim? Report an issue or request a rescan.

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