OpenAgentSkill
GitHub200+

Skill audit report

earnings-trade-analyzer Audit report.

Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.

BLOCKED · BLOCKNeeds reviewGenerated Nov 9, 2026Heuristic metadata audit
72
Audit
65
Trust
65
Quality
71
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

65
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

62

127 GitHub stars

Stars/forks activity

INFO

68

127 stars, 963 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

46

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add BaggaT236/AI-Trading-Skills --skill earnings-trade-analyzer

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

22

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/BaggaT236/AI-Trading-Skills/tree/main/skills/earnings-trade-analyzer

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 15 Needs review

Install path

92

PASS

npx skills add BaggaT236/AI-Trading-Skills --skill earnings-trade-analyzer

Repository

88

PASS

https://github.com/BaggaT236/AI-Trading-Skills/tree/main/skills/earnings-trade-analyzer

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

No critical security issues found. The skill uses an external API key (FMP_API_KEY) but does not expose it insecurely; it is passed via environment variable or CLI argument.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

46

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

22

FIX

secrets or environment access, shell or command execution

Stars/forks activity

68

CHECK

127 stars, 963 forks; issue activity unavailable in current metadata

Adoption

68

INFO

127 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

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • No critical security issues found. The skill uses an external API key (FMP_API_KEY) but does not expose it insecurely; it is passed via environment variable or CLI argument.
  • The skill relies on an external service (Financial Modeling Prep) which may have rate limits, but the documentation clearly states prerequisites and fallback procedures.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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