{"query":"Cog","filters":{"category":null,"platform":null,"min_stars":0},"total":10,"skills":[{"rank":1,"match_score":255.5,"slug":"topoteretes-cognee","name":"Cognee","description":"Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.","tagline":"Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.","category":"agent-frameworks","tags":["agents","ai-agents","agent-memory","agent-skills","ai","ai-memory","cognitive-architecture","cognitive-memory","context-engineering","contributions-welcome"],"author":{"name":"topoteretes","verified":true,"url":"https://github.com/topoteretes"},"stats":{"stars":17803,"forks":1885,"downloads":0,"rating":0,"review_count":0,"quality_score":72.95},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"18K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add topoteretes/cognee"},{"status":"pass","label":"Repository","detail":"https://github.com/topoteretes/cognee"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"18K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for RAG and knowledge","role":"Primary pick","primary_fit":"RAG and knowledge","best_for":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one RAG and knowledge task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Python","AI Agents","Claude Code"],"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"}],"install":"npx skills add topoteretes/cognee","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add topoteretes/cognee","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 \"Cognee\" agent skill from https://github.com/topoteretes/cognee. 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: Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.","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 \"Cognee\" as a Claude Code skill from https://github.com/topoteretes/cognee. 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: Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.","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 \"Cognee\" from https://github.com/topoteretes/cognee 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: Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/topoteretes/cognee","github_repo":"topoteretes/cognee","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T03:02:55.199425+00:00","canonical_key":"topoteretes/cognee","recommendation_reasons":["Matches task terms: cog","Strong GitHub adoption: 17,803 stars","Quality score 73/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/topoteretes-cognee","api":"https://www.openagentskill.com/api/agent/skills/topoteretes-cognee","install_api":"https://www.openagentskill.com/api/skills/topoteretes-cognee/install","audit":"https://www.openagentskill.com/skills/topoteretes-cognee/audit","repository":"https://github.com/topoteretes/cognee"}},{"rank":2,"match_score":187.3,"slug":"replicate-cog","name":"Cog","description":"Containers for machine learning","tagline":"Containers for machine learning","category":"ml-automation","tags":["machine-learning","automation","ml-media","ai","containers","cuda","docker","pytorch","tensorflow","go"],"author":{"name":"replicate","verified":true,"url":"https://github.com/replicate"},"stats":{"stars":9424,"forks":692,"downloads":0,"rating":0,"review_count":0,"quality_score":69.52},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.4K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add replicate/cog"},{"status":"pass","label":"Repository","detail":"https://github.com/replicate/cog"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"9.4K GitHub stars"},{"status":"warn","label":"Documentation","detail":"Summary is thin"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["Documentation summary is thin"]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Coding agents","role":"Primary pick","primary_fit":"Coding agents","best_for":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Coding agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Go","Machine Learning","Claude Code"],"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add replicate/cog","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add replicate/cog","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 \"Cog\" agent skill from https://github.com/replicate/cog. 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: Containers for machine learning","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 \"Cog\" as a Claude Code skill from https://github.com/replicate/cog. 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: Containers for machine learning","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 \"Cog\" from https://github.com/replicate/cog 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: Containers for machine learning","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/replicate/cog","github_repo":"replicate/cog","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T00:01:29.307473+00:00","canonical_key":"replicate/cog","recommendation_reasons":["Matches task terms: cog","Useful GitHub adoption: 9,424 stars","Install handoff is available","Repository freshness signal is available","Registry match score 187"],"urls":{"web":"https://www.openagentskill.com/skills/replicate-cog","api":"https://www.openagentskill.com/api/agent/skills/replicate-cog","install_api":"https://www.openagentskill.com/api/skills/replicate-cog/install","audit":"https://www.openagentskill.com/skills/replicate-cog/audit","repository":"https://github.com/replicate/cog"}},{"rank":3,"match_score":147.6,"slug":"pot-app-pot-desktop","name":"Pot Desktop","description":"🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.","tagline":"🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.","category":"document-processing","tags":["ocr","documents","extraction","linux","macos","pot","pot-app","recognize","tauri","translate"],"author":{"name":"pot-app","verified":true,"url":"https://github.com/pot-app"},"stats":{"stars":18730,"forks":913,"downloads":0,"rating":0,"review_count":0,"quality_score":73.11},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"19K","tone":"positive"},{"label":"Freshness","value":"1d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"GPL-3.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add pot-app/pot-desktop"},{"status":"pass","label":"Repository","detail":"https://github.com/pot-app/pot-desktop"},{"status":"pass","label":"License","detail":"GPL-3.0"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"19K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["JavaScript","OCR","Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add pot-app/pot-desktop","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add pot-app/pot-desktop","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 \"Pot Desktop\" agent skill from https://github.com/pot-app/pot-desktop. 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: 🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.","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 \"Pot Desktop\" as a Claude Code skill from https://github.com/pot-app/pot-desktop. 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: 🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.","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 \"Pot Desktop\" from https://github.com/pot-app/pot-desktop 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: 🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/pot-app/pot-desktop","github_repo":"pot-app/pot-desktop","version":"1.0.0","license":"GPL-3.0","updated_at":"2026-06-12T10:01:39.900781+00:00","canonical_key":"pot-app/pot-desktop","recommendation_reasons":["Matches task terms: cog","Strong GitHub adoption: 18,730 stars","Quality score 73/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/pot-app-pot-desktop","api":"https://www.openagentskill.com/api/agent/skills/pot-app-pot-desktop","install_api":"https://www.openagentskill.com/api/skills/pot-app-pot-desktop/install","audit":"https://www.openagentskill.com/skills/pot-app-pot-desktop/audit","repository":"https://github.com/pot-app/pot-desktop"}},{"rank":4,"match_score":144,"slug":"mindee-doctr","name":"Doctr","description":"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","tagline":"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","category":"document-processing","tags":["ocr","documents","extraction","deep-learning","document-recognition","optical-character-recognition","pytorch","tensorflow2","text-detection","text-detection-recognition"],"author":{"name":"mindee","verified":true,"url":"https://github.com/mindee"},"stats":{"stars":6134,"forks":649,"downloads":0,"rating":0,"review_count":0,"quality_score":68.21},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"6.1K","tone":"positive"},{"label":"Freshness","value":"2d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add mindee/doctr"},{"status":"pass","label":"Repository","detail":"https://github.com/mindee/doctr"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"2d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"6.1K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Python","OCR","Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add mindee/doctr","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add mindee/doctr","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 \"Doctr\" agent skill from https://github.com/mindee/doctr. 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: docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","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 \"Doctr\" as a Claude Code skill from https://github.com/mindee/doctr. 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: docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","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 \"Doctr\" from https://github.com/mindee/doctr 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: docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/mindee/doctr","github_repo":"mindee/doctr","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T10:01:40.2993+00:00","canonical_key":"mindee/doctr","recommendation_reasons":["Matches task terms: cog","Useful GitHub adoption: 6,134 stars","Install handoff is available","Repository freshness signal is available","Registry match score 144"],"urls":{"web":"https://www.openagentskill.com/skills/mindee-doctr","api":"https://www.openagentskill.com/api/agent/skills/mindee-doctr","install_api":"https://www.openagentskill.com/api/skills/mindee-doctr/install","audit":"https://www.openagentskill.com/skills/mindee-doctr/audit","repository":"https://github.com/mindee/doctr"}},{"rank":5,"match_score":120.2,"slug":"vynect-venom","name":"Venom","description":"Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.","tagline":"Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.","category":"browser-automation","tags":["browser","automation","ai","ai-bot","bot","bot-javascript","bot-typescript","chat","chatbot","framework"],"author":{"name":"vynect","verified":true,"url":"https://github.com/vynect"},"stats":{"stars":6557,"forks":1336,"downloads":0,"rating":0,"review_count":0,"quality_score":68.42},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"6.6K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add vynect/venom"},{"status":"pass","label":"Repository","detail":"https://github.com/vynect/venom"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"6.6K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Browser automation","role":"Primary pick","primary_fit":"Browser automation","best_for":["Browser automation workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Browser automation task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["TypeScript","Puppeteer","Claude Code","Browser agents"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"install":"npx skills add vynect/venom","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add vynect/venom","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 \"Venom\" agent skill from https://github.com/vynect/venom. 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: Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.","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 \"Venom\" as a Claude Code skill from https://github.com/vynect/venom. 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: Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.","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 \"Venom\" from https://github.com/vynect/venom 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: Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/vynect/venom","github_repo":"vynect/venom","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T03:02:09.834807+00:00","canonical_key":"vynect/venom","recommendation_reasons":["Matches task terms: cog","Useful GitHub adoption: 6,557 stars","Install handoff is available","Repository freshness signal is available","Registry match score 120"],"urls":{"web":"https://www.openagentskill.com/skills/vynect-venom","api":"https://www.openagentskill.com/api/agent/skills/vynect-venom","install_api":"https://www.openagentskill.com/api/skills/vynect-venom/install","audit":"https://www.openagentskill.com/skills/vynect-venom/audit","repository":"https://github.com/vynect/venom"}},{"rank":6,"match_score":118.2,"slug":"wppconnect-team-wppconnect","name":"Wppconnect","description":"WPPConnect is an open source project developed by the JavaScript community with the aim of exporting functions from WhatsApp Web to the node, which can be used to support the creation of any interaction, such as customer service, media sending, intelligence recognition based on phrases artificial and many other things, use your imagination","tagline":"WPPConnect is an open source project developed by the JavaScript community with the aim of exporting functions from WhatsApp Web to the node, which can be used to support the creation of any interaction, such as customer service, media sending, intelligence recognition based on phrases artificial and many other things, use your imagination","category":"browser-automation","tags":["browser","automation","ai","api","automate","bot","chat","chatbot","framework","message"],"author":{"name":"wppconnect-team","verified":true,"url":"https://github.com/wppconnect-team"},"stats":{"stars":3333,"forks":550,"downloads":0,"rating":0,"review_count":0,"quality_score":66.36},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"3.3K","tone":"positive"},{"label":"Freshness","value":"1d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add wppconnect-team/wppconnect"},{"status":"pass","label":"Repository","detail":"https://github.com/wppconnect-team/wppconnect"},{"status":"warn","label":"License","detail":"Unknown"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"3.3K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Meaningful GitHub adoption signal"],"warnings":["License is unclear"]},"audit":{"audit_score":95,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["License is unclear"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Browser automation","role":"Primary pick","primary_fit":"Browser automation","best_for":["Browser automation workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Browser automation task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["TypeScript","Puppeteer","Claude Code","Browser agents"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"}],"install":"npx skills add wppconnect-team/wppconnect","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add wppconnect-team/wppconnect","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 \"Wppconnect\" agent skill from https://github.com/wppconnect-team/wppconnect. 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: WPPConnect is an open source project developed by the JavaScript community with the aim of exporting functions from WhatsApp Web to the node, which can be used to support the creation of any interaction, such as customer service, media sending, intelligence recognition based on phrases artificial and many other things, use your imagination","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 \"Wppconnect\" as a Claude Code skill from https://github.com/wppconnect-team/wppconnect. 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: WPPConnect is an open source project developed by the JavaScript community with the aim of exporting functions from WhatsApp Web to the node, which can be used to support the creation of any interaction, such as customer service, media sending, intelligence recognition based on phrases artificial and many other things, use your imagination","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 \"Wppconnect\" from https://github.com/wppconnect-team/wppconnect 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: WPPConnect is an open source project developed by the JavaScript community with the aim of exporting functions from WhatsApp Web to the node, which can be used to support the creation of any interaction, such as customer service, media sending, intelligence recognition based on phrases artificial and many other things, use your imagination","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/wppconnect-team/wppconnect","github_repo":"wppconnect-team/wppconnect","version":"1.0.0","license":"Unknown","updated_at":"2026-06-12T10:01:06.449737+00:00","canonical_key":"wppconnect-team/wppconnect","recommendation_reasons":["Matches task terms: cog","Useful GitHub adoption: 3,333 stars","Install handoff is available","Repository freshness signal is available","Registry match score 118"],"urls":{"web":"https://www.openagentskill.com/skills/wppconnect-team-wppconnect","api":"https://www.openagentskill.com/api/agent/skills/wppconnect-team-wppconnect","install_api":"https://www.openagentskill.com/api/skills/wppconnect-team-wppconnect/install","audit":"https://www.openagentskill.com/skills/wppconnect-team-wppconnect/audit","repository":"https://github.com/wppconnect-team/wppconnect"}},{"rank":7,"match_score":103.6,"slug":"ta-lib-ta-lib-python","name":"Ta Lib Python","description":"Python wrapper for TA-Lib (http://ta-lib.org/).","tagline":"Python wrapper for TA-Lib (http://ta-lib.org/).","category":"finance","tags":["finance","technical-analysis","pattern-recognition","python","quantitative-finance","ta-lib","cython","github"],"author":{"name":"TA-Lib","verified":true,"url":"https://github.com/TA-Lib"},"stats":{"stars":12033,"forks":1981,"downloads":0,"rating":0,"review_count":0,"quality_score":68.76},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"12K","tone":"positive"},{"label":"Freshness","value":"3mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"BSD-2-Clause","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add TA-Lib/ta-lib-python"},{"status":"pass","label":"Repository","detail":"https://github.com/TA-Lib/ta-lib-python"},{"status":"pass","label":"License","detail":"BSD-2-Clause"},{"status":"pass","label":"Maintenance","detail":"3mo since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"12K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":95,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Coding agents","role":"Primary pick","primary_fit":"Coding agents","best_for":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Coding agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Cython","TA-Lib","Claude Code"],"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"}],"install":"npx skills add TA-Lib/ta-lib-python","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add TA-Lib/ta-lib-python","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 \"Ta Lib Python\" agent skill from https://github.com/TA-Lib/ta-lib-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: Python wrapper for TA-Lib (http://ta-lib.org/).","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 \"Ta Lib Python\" as a Claude Code skill from https://github.com/TA-Lib/ta-lib-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: Python wrapper for TA-Lib (http://ta-lib.org/).","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 \"Ta Lib Python\" from https://github.com/TA-Lib/ta-lib-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: Python wrapper for TA-Lib (http://ta-lib.org/).","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/TA-Lib/ta-lib-python","github_repo":"TA-Lib/ta-lib-python","version":"1.0.0","license":"BSD-2-Clause","updated_at":"2026-06-12T12:00:18.225767+00:00","canonical_key":"ta-lib/ta-lib-python","recommendation_reasons":["Matches task terms: cog","Strong GitHub adoption: 12,033 stars","Install handoff is available","Repository freshness signal is available","Registry match score 104"],"urls":{"web":"https://www.openagentskill.com/skills/ta-lib-ta-lib-python","api":"https://www.openagentskill.com/api/agent/skills/ta-lib-ta-lib-python","install_api":"https://www.openagentskill.com/api/skills/ta-lib-ta-lib-python/install","audit":"https://www.openagentskill.com/skills/ta-lib-ta-lib-python/audit","repository":"https://github.com/TA-Lib/ta-lib-python"}},{"rank":8,"match_score":103.4,"slug":"run-llama-liteparse","name":"Liteparse","description":"A fast, helpful, and open-source document parser","tagline":"A fast, helpful, and open-source document parser","category":"document-processing","tags":["pdf","documents","extraction","document-ocr","document-processing","ocr","ocr-recognition","pdf-parser","text-extraction","rust"],"author":{"name":"run-llama","verified":true,"url":"https://github.com/run-llama"},"stats":{"stars":9918,"forks":640,"downloads":0,"rating":0,"review_count":0,"quality_score":69.68},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.9K","tone":"positive"},{"label":"Freshness","value":"1d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add run-llama/liteparse"},{"status":"pass","label":"Repository","detail":"https://github.com/run-llama/liteparse"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"9.9K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Rust","PDF","Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"}],"install":"npx skills add run-llama/liteparse","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add run-llama/liteparse","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 \"Liteparse\" agent skill from https://github.com/run-llama/liteparse. 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 fast, helpful, and open-source document parser","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 \"Liteparse\" as a Claude Code skill from https://github.com/run-llama/liteparse. 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 fast, helpful, and open-source document parser","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 \"Liteparse\" from https://github.com/run-llama/liteparse 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 fast, helpful, and open-source document parser","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/run-llama/liteparse","github_repo":"run-llama/liteparse","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T10:01:35.528321+00:00","canonical_key":"run-llama/liteparse","recommendation_reasons":["Matches task terms: cog","Useful GitHub adoption: 9,918 stars","Install handoff is available","Repository freshness signal is available","Registry match score 103"],"urls":{"web":"https://www.openagentskill.com/skills/run-llama-liteparse","api":"https://www.openagentskill.com/api/agent/skills/run-llama-liteparse","install_api":"https://www.openagentskill.com/api/skills/run-llama-liteparse/install","audit":"https://www.openagentskill.com/skills/run-llama-liteparse/audit","repository":"https://github.com/run-llama/liteparse"}},{"rank":9,"match_score":102,"slug":"paddlepaddle-paddlex","name":"PaddleX","description":"All-in-One Development Tool based on PaddlePaddle","tagline":"All-in-One Development Tool based on PaddlePaddle","category":"document-processing","tags":["ocr","documents","extraction","ai-pipelines","classification","deployment","formula-recognition","layout-detection","object-detection","pdf2markdown"],"author":{"name":"PaddlePaddle","verified":true,"url":"https://github.com/PaddlePaddle"},"stats":{"stars":6156,"forks":1198,"downloads":0,"rating":0,"review_count":0,"quality_score":68.23},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"6.2K","tone":"positive"},{"label":"Freshness","value":"1d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add PaddlePaddle/PaddleX"},{"status":"pass","label":"Repository","detail":"https://github.com/PaddlePaddle/PaddleX"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"6.2K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Python","OCR","Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"install":"npx skills add PaddlePaddle/PaddleX","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add PaddlePaddle/PaddleX","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 \"PaddleX\" agent skill from https://github.com/PaddlePaddle/PaddleX. 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: All-in-One Development Tool based on PaddlePaddle","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 \"PaddleX\" as a Claude Code skill from https://github.com/PaddlePaddle/PaddleX. 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: All-in-One Development Tool based on PaddlePaddle","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 \"PaddleX\" from https://github.com/PaddlePaddle/PaddleX 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: All-in-One Development Tool based on PaddlePaddle","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/PaddlePaddle/PaddleX","github_repo":"PaddlePaddle/PaddleX","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T10:01:40.279011+00:00","canonical_key":"paddlepaddle/paddlex","recommendation_reasons":["Matches task terms: cog","Useful GitHub adoption: 6,156 stars","Install handoff is available","Repository freshness signal is available","Registry match score 102"],"urls":{"web":"https://www.openagentskill.com/skills/paddlepaddle-paddlex","api":"https://www.openagentskill.com/api/agent/skills/paddlepaddle-paddlex","install_api":"https://www.openagentskill.com/api/skills/paddlepaddle-paddlex/install","audit":"https://www.openagentskill.com/skills/paddlepaddle-paddlex/audit","repository":"https://github.com/PaddlePaddle/PaddleX"}},{"rank":10,"match_score":100.9,"slug":"caviraoss-openmemory","name":"OpenMemory","description":"Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.","tagline":"Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.","category":"agent-frameworks","tags":["agents","ai-agents","ai","ai-infrastructure","ai-memory","artificial-intelligence","cognitive-architecture","embeddings","gemini","llm"],"author":{"name":"CaviraOSS","verified":true,"url":"https://github.com/CaviraOSS"},"stats":{"stars":4229,"forks":480,"downloads":0,"rating":0,"review_count":0,"quality_score":67.08},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"4.2K","tone":"positive"},{"label":"Freshness","value":"14d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add CaviraOSS/OpenMemory"},{"status":"pass","label":"Repository","detail":"https://github.com/CaviraOSS/OpenMemory"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"14d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"4.2K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Meaningful GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Local desktop","role":"Primary pick","primary_fit":"Local desktop","best_for":["Local desktop workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Local desktop task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["TypeScript","AI Agents","Claude Code","OpenAI Agents"],"use_cases":[{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add CaviraOSS/OpenMemory","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add CaviraOSS/OpenMemory","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 \"OpenMemory\" agent skill from https://github.com/CaviraOSS/OpenMemory. 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