Skill audit report

Stock Pattern audit report.

A Python CLI tool to scan, detect, and plot stock chart patterns

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
75
Audit
75
Trust
65
Quality
92
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

75
Strong shortlist

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

381 GitHub stars

Recent maintenance

INFO

62

7mo since push

License clarity

PASS

86

GPL-3.0

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add BennyThadikaran/stock-pattern

Repository evidence

PASS

86

https://github.com/BennyThadikaran/stock-pattern

Review status

PASS

88

AI review data available

Checks

Install and adoption review

5 passed · 3 review

Install path

92

PASS

npx skills add BennyThadikaran/stock-pattern

Repository

88

PASS

https://github.com/BennyThadikaran/stock-pattern

License

86

PASS

GPL-3.0

Maintenance

62

CHECK

7mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Adoption

68

INFO

381 GitHub stars

Warnings

  • Quality score needs review

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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