{"eval":{"version":"openagentskill-skill-eval-v1","slug":"mukulsinghal001-customer-lifetime-prediction-using-python","name":"Customer Lifetime Prediction Using Python","generated_at":"2026-07-03T22:56:48.594Z","task_input":"Evaluate Customer Lifetime Prediction Using Python before installing it in an AI agent workflow","status":"review","score":59,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":94,"suited_tasks":["Data analysis workflows","Claude Code teams","builders willing to evaluate younger projects","Load tabular data","Calculate trends","Summarize findings clearly","Load football datasets","Compare teams and players"],"suited_agents":["Jupyter Notebook","Data Analysis","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add mukulsinghal001/customer-lifetime-prediction-using-python","ready":true,"policy":"review","safety_label":"Avoid automatic install","targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx skills add mukulsinghal001/customer-lifetime-prediction-using-python"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Customer Lifetime Prediction Using Python\" agent skill from https://github.com/mukulsinghal001/customer-lifetime-prediction-using-python. 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: What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Customer Lifetime Prediction Using Python\" as a Claude Code skill from https://github.com/mukulsinghal001/customer-lifetime-prediction-using-python. 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: What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Customer Lifetime Prediction Using Python\" from https://github.com/mukulsinghal001/customer-lifetime-prediction-using-python 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: What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python."}]},"trust":{"score":69,"label":"Manual review","version":"trust-score-v4","evidence":{"stars":"167 GitHub stars","repoActivity":"167 stars, 59 forks","lastPushed":"4y since push","license":"Unknown","repository":"https://github.com/mukulsinghal001/customer-lifetime-prediction-using-python","install":"npx skills add mukulsinghal001/customer-lifetime-prediction-using-python","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":60,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Repository appears stale","Repository looks stale","Quality score needs review","Recent maintenance: 4y since push","License clarity: Unknown"]},"safety_gate":{"score":44,"tier":"experimental","label":"Experimental","auto_install_policy":"review","blocked":false,"permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["License is unclear"]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate Customer Lifetime Prediction Using Python before installing it in an AI agent workflow","data-analysis","Data analysis workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add mukulsinghal001/customer-lifetime-prediction-using-python"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add mukulsinghal001/customer-lifetime-prediction-using-python"]},{"id":"trust_score","label":"Trust score","status":"warn","score":69,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","167 GitHub stars","Unknown"]},{"id":"audit_score","label":"Audit score","status":"warn","score":60,"required_for_auto_install":true,"detail":"Needs review","evidence":["License is unclear"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":44,"required_for_auto_install":true,"detail":"Sparse or mixed signals. 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