{"eval":{"version":"openagentskill-skill-eval-v1","slug":"milanlproc-contextualized-topic-models","name":"Contextualized Topic Models","generated_at":"2026-07-04T00:13:39.353Z","task_input":"Evaluate Contextualized Topic Models before installing it in an AI agent workflow","status":"review","score":82,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":94,"suited_tasks":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Inspect source files","Explain architecture"],"suited_agents":["Python","Embeddings","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add MilaNLProc/contextualized-topic-models","ready":true,"policy":"review","safety_label":"Review before install","targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx skills add MilaNLProc/contextualized-topic-models"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Contextualized Topic Models\" agent skill from https://github.com/MilaNLProc/contextualized-topic-models. 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: A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.)."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Contextualized Topic Models\" as a Claude Code skill from https://github.com/MilaNLProc/contextualized-topic-models. 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: A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.)."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Contextualized Topic Models\" from https://github.com/MilaNLProc/contextualized-topic-models 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: A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.)."}]},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","evidence":{"stars":"1.3K GitHub stars","repoActivity":"1.3K stars, 154 forks","lastPushed":"11mo since push","license":"MIT","repository":"https://github.com/MilaNLProc/contextualized-topic-models","install":"npx skills add MilaNLProc/contextualized-topic-models","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":83,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review"]},"safety_gate":{"score":67,"tier":"reviewed","label":"Reviewed with permission notes","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":["Quality score needs review"]},"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 Contextualized Topic Models before installing it in an AI agent workflow","rag-knowledge","RAG and knowledge workflows; 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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: A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.)."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Contextualized Topic Models\" as a Claude Code skill from https://github.com/MilaNLProc/contextualized-topic-models. 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: A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.)."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Contextualized Topic Models\" from https://github.com/MilaNLProc/contextualized-topic-models 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: A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.)."}],"handoff_url":"https://www.openagentskill.com/api/skills/milanlproc-contextualized-topic-models/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/milanlproc-contextualized-topic-models"},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"1.3K GitHub stars","repoActivity":"1.3K stars, 154 forks","lastPushed":"11mo since push","license":"MIT","repository":"https://github.com/MilaNLProc/contextualized-topic-models","install":"npx skills add MilaNLProc/contextualized-topic-models","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["rag-knowledge","embeddings","retrieval","knowledge","bert","multilingual-models"],"known_risks":["Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":83,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":84,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"11mo since push","risk":"Safe to try"},"alternative_skills":[{"slug":"microsoft-generative-ai-for-beginners","name":"Generative AI For Beginners","url":"https://www.openagentskill.com/skills/microsoft-generative-ai-for-beginners","stars":112223,"install_command":"npx skills add microsoft/generative-ai-for-beginners","trust_score":92,"audit_score":95},{"slug":"elastic-elasticsearch","name":"Elasticsearch","url":"https://www.openagentskill.com/skills/elastic-elasticsearch","stars":76995,"install_command":"npx skills add elastic/elasticsearch","trust_score":88,"audit_score":92},{"slug":"safishamsi-graphify","name":"Graphify","url":"https://www.openagentskill.com/skills/safishamsi-graphify","stars":76861,"install_command":"npx skills add safishamsi/graphify","trust_score":89,"audit_score":93},{"slug":"egonex-ai-understand-anything","name":"Understand Anything","url":"https://www.openagentskill.com/skills/egonex-ai-understand-anything","stars":70436,"install_command":"npx skills add Egonex-AI/Understand-Anything","trust_score":90,"audit_score":93}],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Evaluate Contextualized Topic Models before installing it in an AI agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 86/100 Production candidate","Audit: 83/100 Safe to try","Safety: 67/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"milanlproc-contextualized-topic-models (Contextualized Topic Models)","install_command":"npx skills add MilaNLProc/contextualized-topic-models","risk_summary":"Safe to try; 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