Skill audit report

Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis audit report.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
68
Audit
74
Trust
56
Quality
96
Security
20
Maintain
92
Install

OpenAgentSkill Trust Score

74
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

76

886 GitHub stars

Recent maintenance

FAIL

22

2y since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

Repository evidence

PASS

86

https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 5 review

Install path

92

PASS

npx skills add kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

Repository

88

PASS

https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

License

86

PASS

MIT

Maintenance

20

FIX

2y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Adoption

88

PASS

886 GitHub stars

Warnings

  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push

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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