OpenAgentSkill
GitHub200+

Skill audit report

ml4t-latent-factors Audit report.

Extract latent factors from return panels using PCA, IPCA, or autoencoders with proper noise diagnostics. Use when reducing dimensionality or discovering risk structure.

REVIEWED · REVIEWNeeds reviewGenerated Oct 14, 2026Heuristic metadata audit
74
Audit
72
Trust
54
Quality
79
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

72
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

FAIL

30

20 GitHub stars

Stars/forks activity

FAIL

37

20 stars, 11 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

15d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add ml4t/skills --skill ml4t-latent-factors

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

network or browser access

Repository evidence

PASS

86

https://github.com/ml4t/skills/tree/main/features/latent-factors

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 · 12 Needs review

Install path

92

PASS

npx skills add ml4t/skills --skill ml4t-latent-factors

Repository

88

PASS

https://github.com/ml4t/skills/tree/main/features/latent-factors

License

86

PASS

Apache-2.0

Maintenance

100

PASS

15d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

network or browser access

Stars/forks activity

37

FIX

20 stars, 11 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

20 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • AI review approval is missing
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 20 GitHub stars
  • Stars/forks activity: 20 stars, 11 forks; issue activity unavailable in current metadata
  • 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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