{"skill":{"slug":"gandalf1819-stock-market-sentiment-analysis","name":"Stock Market Sentiment Analysis","description":"Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka","repository":"https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis"},"recommended_command":"npx skills add gandalf1819/Stock-Market-Sentiment-Analysis","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add gandalf1819/Stock-Market-Sentiment-Analysis","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Stock Market Sentiment Analysis\" agent skill from https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Stock Market Sentiment Analysis\" as a Claude Code skill from https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Stock Market Sentiment Analysis\" from https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["Repository appears stale","47/100 agent safety score"]},"agent_prompt":"Install the \"Stock Market Sentiment Analysis\" agent skill only after reviewing the OpenAgentSkill profile and source repository. Safety gate: Experimental (review). Start with https://www.openagentskill.com/skills/gandalf1819-stock-market-sentiment-analysis, inspect the trust and audit notes, then use the recommended install handoff: npx skills add gandalf1819/Stock-Market-Sentiment-Analysis. After installation, summarize changed files, required setup, and a minimal verification result before using the skill for real work.","safety_checklist":["Safety gate: Experimental. Policy: review.","Test manually in an isolated workspace and compare against safer alternatives.","Review the repository and license before running third-party code.","Prefer a sandbox or isolated project when testing a new skill.","Start with the recommended command, then inspect generated files before committing changes.","Do not execute external side effects, payments, account changes, or credentialed actions without explicit user approval."],"verification_steps":["Open the skill documentation or SKILL.md and identify required setup.","Run the smallest safe example for the target task.","Confirm outputs match the task before allowing broader agent use.","Record any missing credentials, policy risks, or manual approvals needed."],"do_not_auto_install_when":["The repository or license cannot be reviewed.","The skill requires broad credentials or production account access.","The task involves regulated, private, or high-impact data without user approval."],"urls":{"web":"https://www.openagentskill.com/skills/gandalf1819-stock-market-sentiment-analysis","api":"https://www.openagentskill.com/api/agent/skills/gandalf1819-stock-market-sentiment-analysis","install_api":"https://www.openagentskill.com/api/skills/gandalf1819-stock-market-sentiment-analysis/install","repository":"https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis"},"meta":{"agent_friendly":true,"api_version":"1.0","generated_at":"2026-07-04T04:19:43.425Z"}}