Skill audit report

aeon Audit report.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

REVIEWED · REVIEWNeeds reviewGenerated Nov 13, 2026Heuristic metadata audit
82
Audit
79
Trust
77
Quality
76
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

79
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

3.7K GitHub stars

Stars/forks activity

PASS

83

3.7K stars, 336 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

25d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

54

command execution surface, external package install surface

Install availability

PASS

92

npx skills add foryourhealth111-pixel/Vibe-Skills --skill aeon

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

shell or command execution, network or browser access

Repository evidence

PASS

86

https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/aeon

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 8 Needs review

Install path

92

PASS

npx skills add foryourhealth111-pixel/Vibe-Skills --skill aeon

Repository

88

PASS

https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/aeon

License

86

PASS

Apache-2.0

Maintenance

100

PASS

25d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

54

FIX

command execution surface, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

shell or command execution, network or browser access

Stars/forks activity

83

PASS

3.7K stars, 336 forks; issue activity unavailable in current metadata

Adoption

88

PASS

3.7K GitHub stars

Warnings

  • Dependency or permission surface needs review
  • AI review approval is missing
  • Quality score needs review
  • Dependency/runtime risk: command execution surface, external package install surface
  • Review status: AI review approval is missing

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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