[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-marketplace-BrainBlend-AI-atomic-agents-de":3,"guides-for-BrainBlend-AI-atomic-agents":469,"similar-k17fwr7y917mbz9v0dtydexxvx86nhbv-de":470},{"_creationTime":4,"_id":5,"children":6,"community":51,"display":52,"evaluation":57,"identity":251,"isFallback":247,"parentExtension":254,"providers":255,"relations":263,"repo":264,"tags":466,"workflow":467},1778683513823.503,"k17fwr7y917mbz9v0dtydexxvx86nhbv",[7],{"_creationTime":8,"_id":9,"community":10,"display":12,"identity":17,"providers":22,"relations":42,"tags":46,"workflow":47},1778683520303.8567,"k17f5fmzm9jdtahq6ask079gfs86m4sr",{"reviewCount":11},0,{"description":13,"installMethods":14,"name":15,"sourceUrl":16},"Fertigkeiten plus Erkundungs- und Prüfer-Subagenten zum Erstellen, Gerüsten, Verstehen und Auditing von Anwendungen mit dem Atomic Agents Python-Framework. Enthält die übergeordnete `framework`-Fertigkeit, aktionsorientierte `create-atomic-schema` / `create-atomic-agent` / `create-atomic-tool` / `create-atomic-context-provider`-Fertigkeiten, den `new-app`-Gerüstbauer, progressive Offenlegungsreferenzmaterialien für Prompts, Orchestrierung, Speicher, Hooks, Anbieter, Projektstruktur und Tests sowie Subagenten für isolierten Kontext zur Codebasisabbildung und Codeüberprüfung.",{"claudeCode":15},"atomic-agents","https://github.com/BrainBlend-AI/atomic-agents",{"basePath":18,"githubOwner":19,"githubRepo":15,"locale":20,"slug":15,"type":21},"claude-plugin/atomic-agents","BrainBlend-AI","de","plugin",{"evaluate":23,"extract":36},{"promptVersionExtension":24,"promptVersionScoring":25,"score":26,"tags":27,"targetMarket":34,"tier":35},"3.0.0","4.4.0",98,[28,29,30,31,32,33],"python","agent","framework","code-generation","development-tools","llm-application-development","global","verified",{"commitSha":37,"license":38,"plugin":39},"HEAD","MIT",{"mcpCount":11,"provider":40,"skillCount":41},"classify",6,{"parentExtensionId":43,"repoId":44,"translatedFrom":45},"k173812k7d1b2wh2bze2r2cdjn86mzva","kd7038dvhwk39adrnvedmx8x3s86mqpq","k17bm61p7zr993vt7thb45838h86mrjy",[29,31,32,30,33,28],{"evaluatedAt":48,"extractAt":49,"updatedAt":50},1778683257368,1778683220959,1778683520303,{"reviewCount":11},{"description":53,"installMethods":54,"name":56,"sourceUrl":16},"Offizielle Plugins für das Atomic Agents Framework – ein leichtgewichtiges, modulares System zum Erstellen von KI-Agenten mit Pydantic und Instructor",{"claudeCode":55},"BrainBlend-AI/atomic-agents","Atomic Agents",{"_creationTime":58,"_id":59,"extensionId":5,"locale":20,"result":60,"trustSignals":234,"workflow":249},1778683513823.5032,"kn73jdxeawpa2nx1q4rpj0zk3s86mhpe",{"checks":61,"evaluatedAt":204,"extensionSummary":205,"features":206,"nonGoals":212,"practices":216,"prerequisites":217,"promptVersionExtension":218,"promptVersionScoring":25,"purpose":219,"rationale":220,"score":221,"summary":222,"tags":223,"tier":35,"useCases":228,"workflow":233},[62,67,70,73,77,80,85,90,92,94,98,102,105,109,112,115,118,121,124,127,131,135,139,143,147,150,153,156,160,163,166,169,171,173,176,180,184,188,191,195,198,201],{"category":63,"check":64,"severity":65,"summary":66},"Praktischer Nutzen","Problemrelevanz","pass","Die Beschreibung identifiziert klar das Problem des Aufbaus von leichtgewichtigen, modularen KI-Agenten mit Pydantic und Instructor.",{"category":63,"check":68,"severity":65,"summary":69},"Alleinstellungsmerkmal","Das Framework bietet einen einzigartigen Ansatz zum Erstellen von KI-Agenten mit Fokus auf Atomarität, Modularität und Vorhersagbarkeit, basierend auf Pydantic und Instructor, was über einfaches Prompt-Engineering hinausgeht.",{"category":63,"check":71,"severity":65,"summary":72},"Produktionsbereitschaft","Das Framework erscheint produktionsreif mit klaren Konzepten, Beispielen und der Veröffentlichung von Version 2.0, was eine aktive Entwicklung und Unterstützung anzeigt.",{"category":74,"check":75,"severity":65,"summary":76},"Umfang","Prinzip der einzigen Verantwortung","Die Erweiterung konzentriert sich auf die Bereitstellung eines Frameworks für den Aufbau von KI-Agenten, einschließlich Tools und CLIs, was ein kohärentes Domänenspektrum darstellt.",{"category":74,"check":78,"severity":65,"summary":79},"Qualität der Beschreibung","Die angezeigte Beschreibung spiegelt den Zweck und die Kerntechnologien des Frameworks genau wider.",{"category":81,"check":82,"severity":83,"summary":84},"Aufruf","Geltungsbereich von Tools","not_applicable","Dies ist eine Marktplatz-Erweiterung und stellt keine Tools direkt bereit.",{"category":86,"check":87,"severity":88,"summary":89},"Dokumentation","Konfigurations- & Parameterreferenz","info","Obwohl das README Konzepte und die Verwendung detailliert beschreibt, sind spezifische Konfigurationsparameter und ihre Standardwerte für das Framework selbst nicht explizit aufgeführt.",{"category":74,"check":91,"severity":83,"summary":84},"Tool-Namensgebung",{"category":74,"check":93,"severity":83,"summary":84},"Minimale I/O-Oberfläche",{"category":95,"check":96,"severity":65,"summary":97},"Lizenz","Lizenznutzbarkeit","Das Projekt ist unter der MIT-Lizenz lizenziert, wie in der README-Datei und der LICENSE-Datei angegeben.",{"category":99,"check":100,"severity":65,"summary":101},"Wartung","Aktualität der Commits","Der letzte Commit war am 29. April 2026, was aktuell ist.",{"category":99,"check":103,"severity":65,"summary":104},"Abhängigkeitsverwaltung","Das Projekt verwendet pip für die Installation und gibt Abhängigkeiten über Instructor-Extras an und verfügt über eine Lock-Datei, was auf eine gute Abhängigkeitsverwaltung hindeutet.",{"category":106,"check":107,"severity":83,"summary":108},"Sicherheit","Geheimnisverwaltung","Das Framework selbst scheint keine Geheimnisse direkt zu verwalten; dies wäre die Verantwortung einzelner mit dem Framework erstellter Agenten.",{"category":106,"check":110,"severity":83,"summary":111},"Injection","Als Framework lädt es nicht direkt unzuverlässige Drittanbieterdaten. Dies würde von der Implementierung des Benutzers gehandhabt werden.",{"category":106,"check":113,"severity":83,"summary":114},"Transitive Supply-Chain-Granaten","Das Framework selbst ruft zur Laufzeit keine Remote-Inhalte ab. Dieses Problem würde sich auf die Implementierung von Agenten durch Benutzer beziehen.",{"category":106,"check":116,"severity":83,"summary":117},"Sandbox-Isolierung","Dies ist ein Framework und führt keine Operationen durch, die eine Sandbox-Isolierung erfordern würden.",{"category":106,"check":119,"severity":83,"summary":120},"Sandbox-Escape-Primitive","Dies ist ein Framework und enthält keine Skripte mit Sandbox-Escape-Primitiven.",{"category":106,"check":122,"severity":83,"summary":123},"Datenexfiltration","Das Framework selbst exfiltriert keine Daten; dies hängt von der benutzerdefinierten Implementierung der Agenten ab.",{"category":106,"check":125,"severity":65,"summary":126},"Versteckte Texttricks","Die README-Datei und die Quellcodedateien scheinen keine versteckten Texttricks zu enthalten.",{"category":128,"check":129,"severity":65,"summary":130},"Hooks","Opaque Codeausführung","Der Quellcode scheint Standard-Python zu sein und ist nicht verschleiert.",{"category":132,"check":133,"severity":65,"summary":134},"Portabilität","Strukturelle Annahme","Das Framework selbst trifft keine strukturellen Annahmen über Benutzerprojekte; dies wird von den Benutzerimplementierungen gehandhabt.",{"category":136,"check":137,"severity":65,"summary":138},"Vertrauen","Aufmerksamkeit für Issues","Es gibt 6 offene und 7 geschlossene Issues in den letzten 90 Tagen, was auf eine gute Beteiligung und eine gesunde Abschlussrate hindeutet.",{"category":140,"check":141,"severity":65,"summary":142},"Versionierung","Release-Verwaltung","Das Projekt verwendet eine aussagekräftige semantische Versionierung in seinem PyPI-Badge und `marketplace.json` und verfügt über eine CHANGELOG.",{"category":144,"check":145,"severity":88,"summary":146},"Codeausführung","Validierung","Das Framework stützt sich auf Pydantic zur Schema-Validierung, was gut ist, aber das Ausmaß der Bereinigung innerhalb des Frameworks selbst ist nicht vollständig detailliert.",{"category":106,"check":148,"severity":83,"summary":149},"Ungeschützte destruktive Operationen","Das Framework selbst führt keine destruktiven Operationen durch; dies ist die Verantwortung der mit ihm erstellten Agenten.",{"category":144,"check":151,"severity":65,"summary":152},"Fehlerbehandlung","Das Framework nutzt Instructor, das eine robuste Fehlerbehandlung für LLM-Interaktionen bietet, sowie die Standard-Fehlerbehandlungsmechanismen von Python.",{"category":144,"check":154,"severity":83,"summary":155},"Protokollierung","Als Framework implementiert es keinen eigenen Protokollierungsmechanismus für Aktionen; dies wäre der Implementierung des Benutzers überlassen.",{"category":157,"check":158,"severity":83,"summary":159},"Compliance","DSGVO","Das Framework verarbeitet keine personenbezogenen Daten direkt; dies wird durch die Implementierung des Benutzers bestimmt.",{"category":157,"check":161,"severity":65,"summary":162},"Zielmarkt","Das Framework ist für eine globale Anwendbarkeit konzipiert und hat keine regionalen Einschränkungen.",{"category":132,"check":164,"severity":65,"summary":165},"Laufzeitstabilität","Das Framework basiert auf Python und stützt sich auf die Provider-Integrationen von Instructor, was eine gute plattformübergreifende Kompatibilität nahelegt.",{"category":86,"check":167,"severity":65,"summary":168},"README","Die README ist umfassend, gut strukturiert und erklärt klar den Zweck und die Funktionen des Projekts.",{"category":74,"check":170,"severity":83,"summary":84},"Tool-Oberflächengröße",{"category":81,"check":172,"severity":83,"summary":84},"Überlappende Nah-Synonym-Tools",{"category":86,"check":174,"severity":65,"summary":175},"Phantom-Features","Alle beworbenen Features und Konzepte in der README scheinen durch die Struktur und Beispiele des Frameworks unterstützt zu werden.",{"category":177,"check":178,"severity":65,"summary":179},"Installation","Installationsanweisung","Die README bietet klare Installationsanweisungen mit pip und Beispiele für verschiedene Anbieter.",{"category":181,"check":182,"severity":65,"summary":183},"Fehler","Handlungsfähige Fehlermeldungen","Das Framework nutzt Instructor für LLM-Interaktionen, das für strukturierte und handlungsfähige Fehlermeldungen bekannt ist.",{"category":185,"check":186,"severity":65,"summary":187},"Ausführung","Angepinnte Abhängigkeiten","Die Anwesenheit einer Lock-Datei (`hasLockfile: true`) deutet darauf hin, dass Abhängigkeiten angepinnt sind.",{"category":74,"check":189,"severity":83,"summary":190},"Vorschau im Dry-Run-Modus","Das Framework selbst verfügt nicht über zustandsverändernde Operationen; dies würde von Benutzern des Frameworks implementiert werden.",{"category":192,"check":193,"severity":83,"summary":194},"Protokoll","Idempotente Wiederholungsversuche & Timeouts","Das Framework implementiert keine direkten Remote-Aufrufe oder zustandsverändernden Operationen, was von benutzerdefinierten Agenten und Tools gehandhabt würde.",{"category":157,"check":196,"severity":83,"summary":197},"Telemetrie-Opt-in","Das Framework scheint standardmäßig keine Telemetrie zu senden; Telemetrie würde vom Benutzer implementiert werden.",{"category":74,"check":199,"severity":65,"summary":200},"Theme-Deklaration","Die Marktplatz-README deklariert ein Kurations-Theme, das sich auf offizielle Plugins für das Atomic Agents Framework konzentriert.",{"category":140,"check":202,"severity":65,"summary":203},"Versionierungsmetadaten pro Eintrag","Der `marketplace.json`-Eintrag für `atomic-agents` gibt eine explizite Version ('2.0.1') an.",1778683239388,"Diese Erweiterung ist ein Python-Framework zur Entwicklung von KI-Agenten, das Modularität, Vorhersagbarkeit und Entwicklererfahrung betont. Es nutzt Pydantic für die Schemadefinition und Instructor für LLM-Integrationen und bietet einen strukturierten Ansatz zur Agentenerstellung mit Tools, Kontextanbietern und Verkettungsfähigkeiten.",[207,208,209,210,211],"Leichtgewichtiges und modulares Agenten-Framework","Erstellt mit Pydantic und Instructor für vorhersehbare Ausgaben","Unterstützt benutzerdefinierte Kontextanbieter für dynamische Informationen","Ermöglicht die Verkettung von Agenten und Tools","Enthält eine CLI zur Verwaltung von Tools und Komponenten",[213,214,215],"Ersetzen bestehender LLM-Anbieter (z. B. OpenAI, Groq); es integriert sich mit ihnen","Bereitstellung einer Low-Level-Schnittstelle zu LLMs; es abstrahiert diese Komplexität","Ein vollwertiger Anwendungs-Builder out-of-the-box sein; es ist ein Framework zum Erstellen von Anwendungen",[],[],"3.1.0","Bereitstellung eines leichtgewichtigen, modularen und wartbaren Frameworks zum Erstellen vorhersehbarer und zuverlässiger KI-Agenten mit Python, Pydantic und Instructor.","Das Projekt hat eine aktuelle Commit-Historie, eine klare MIT-Lizenz, ausgezeichnete Dokumentation und eine robuste Community-Beteiligung, die sich in Sternen und Issue-Aktivität widerspiegelt, was zu einer verifizierten Stufe führt.",95,"Ein gut dokumentiertes und aktiv gepflegtes Python-Framework zum Erstellen modularer KI-Agenten.",[224,225,226,227,28,30],"ai-agents","llm","pydantic","instructor",[229,230,231,232],"Erstellen benutzerdefinierter KI-Assistenten mit strukturierten Ein- und Ausgaben","Entwickeln von Multi-Agenten-Systemen mit klarer Komponenten-Trennung","Integrieren von LLMs in Python-Anwendungen mit starker Typisierung","Erstellen wiederverwendbarer KI-Komponenten für diverse Anwendungen",[],{"codeQuality":235,"collectedAt":237,"documentation":238,"maintenance":241,"security":246,"testCoverage":248},{"hasLockfile":236},true,1778683223139,{"descriptionLength":239,"readmeSize":240},132,20431,{"closedIssues90d":242,"forks":243,"hasChangelog":236,"openIssues90d":41,"pushedAt":244,"stars":245},7,506,1777460217000,5909,{"hasNpmPackage":247,"license":38,"smitheryVerified":247},false,{"hasCi":236,"hasTests":236},{"updatedAt":250},1778683513823,{"basePath":252,"githubOwner":19,"githubRepo":15,"locale":20,"slug":15,"type":253},"","marketplace",null,{"evaluate":256,"extract":258},{"promptVersionExtension":218,"promptVersionScoring":25,"score":221,"tags":257,"targetMarket":34,"tier":35},[224,225,226,227,28,30],{"commitSha":37,"license":38,"marketplace":259,"plugin":262},{"name":260,"pluginCount":261},"brainblend-plugins",1,{"mcpCount":11,"provider":40,"skillCount":11},{"repoId":44,"translatedFrom":43},{"_creationTime":265,"_id":44,"identity":266,"providers":267,"workflow":462},1778683214161.1255,{"githubOwner":19,"githubRepo":15,"sourceUrl":16},{"classify":268,"discover":449,"github":452},{"commitSha":37,"extensions":269},[270,285,311,321,329,337,345,353,382,390,415,424,433,442],{"basePath":252,"description":271,"displayName":260,"installMethods":272,"rationale":273,"selectedPaths":274,"source":283,"sourceLanguage":284,"type":253},"Official plugins for the Atomic Agents framework - a lightweight, modular system for building AI agents with Pydantic and Instructor",{"claudeCode":55},"marketplace.json at .claude-plugin/marketplace.json",[275,278,280],{"path":276,"priority":277},".claude-plugin/marketplace.json","mandatory",{"path":279,"priority":277},"README.md",{"path":281,"priority":282},"LICENSE","high","rule","en",{"basePath":18,"description":286,"displayName":15,"installMethods":287,"license":38,"rationale":288,"selectedPaths":289,"source":283,"sourceLanguage":284,"type":21},"Skills plus explorer and reviewer subagents for building, scaffolding, understanding, and auditing applications with the Atomic Agents Python framework. Includes the umbrella `framework` skill, action-oriented `create-atomic-schema` / `create-atomic-agent` / `create-atomic-tool` / `create-atomic-context-provider` skills, the `new-app` scaffolder, progressive-disclosure reference material for prompts, orchestration, memory, hooks, providers, project structure, and testing, and isolated-context subagents for codebase mapping and code review.",{"claudeCode":15},"plugin manifest at claude-plugin/atomic-agents/.claude-plugin/plugin.json",[290,292,293,294,297,299,301,303,305,307,309],{"path":291,"priority":277},".claude-plugin/plugin.json",{"path":279,"priority":277},{"path":281,"priority":282},{"path":295,"priority":296},"skills/create-atomic-agent/SKILL.md","medium",{"path":298,"priority":296},"skills/create-atomic-context-provider/SKILL.md",{"path":300,"priority":296},"skills/create-atomic-schema/SKILL.md",{"path":302,"priority":296},"skills/create-atomic-tool/SKILL.md",{"path":304,"priority":296},"skills/framework/SKILL.md",{"path":306,"priority":296},"skills/new-app/SKILL.md",{"path":308,"priority":282},"agents/atomic-explorer.md",{"path":310,"priority":282},"agents/atomic-reviewer.md",{"basePath":312,"description":313,"displayName":314,"installMethods":315,"rationale":316,"selectedPaths":317,"source":283,"sourceLanguage":284,"type":320},".claude/skills/release","Release a new version of atomic-agents to PyPI and GitHub. Use when the user asks to \"release\", \"publish\", \"deploy\", or \"bump version\" for atomic-agents.","release",{"claudeCode":55},"SKILL.md frontmatter at .claude/skills/release/SKILL.md",[318],{"path":319,"priority":277},"SKILL.md","skill",{"basePath":322,"description":323,"displayName":324,"installMethods":325,"rationale":326,"selectedPaths":327,"source":283,"sourceLanguage":284,"type":320},"claude-plugin/atomic-agents/skills/create-atomic-agent","Build and wire an `AtomicAgent[InSchema, OutSchema]` — schemas, `AgentConfig`, `SystemPromptGenerator`, provider client, history, hooks, optional context providers. Use when the user asks to \"create an agent\", \"add another agent\", \"build an `AtomicAgent`\", \"wire up an agent\", \"make a planner/router/extractor agent\", or runs `/atomic-agents:create-atomic-agent`.","create-atomic-agent",{"claudeCode":55},"SKILL.md frontmatter at claude-plugin/atomic-agents/skills/create-atomic-agent/SKILL.md",[328],{"path":319,"priority":277},{"basePath":330,"description":331,"displayName":332,"installMethods":333,"rationale":334,"selectedPaths":335,"source":283,"sourceLanguage":284,"type":320},"claude-plugin/atomic-agents/skills/create-atomic-context-provider","Build a `BaseDynamicContextProvider` that injects a named, titled block into an agent's system prompt at every `run()` — current time, user identity, retrieved RAG docs, session state, cached DB schema. Use when the user asks to \"add a context provider\", \"inject X into the prompt\", \"give the agent dynamic context\", \"wire up RAG\", \"make a `BaseDynamicContextProvider`\", or runs `/atomic-agents:create-atomic-context-provider`.","create-atomic-context-provider",{"claudeCode":55},"SKILL.md frontmatter at claude-plugin/atomic-agents/skills/create-atomic-context-provider/SKILL.md",[336],{"path":319,"priority":277},{"basePath":338,"description":339,"displayName":340,"installMethods":341,"rationale":342,"selectedPaths":343,"source":283,"sourceLanguage":284,"type":320},"claude-plugin/atomic-agents/skills/create-atomic-schema","Design and write a `BaseIOSchema` input/output pair for an Atomic Agents agent or tool — docstrings, field descriptions, validators, error variants. Use when the user asks to \"create a schema\", \"design the input/output schema\", \"define an `IOSchema`\", \"write a `BaseIOSchema`\", \"model the agent's output\", or runs `/atomic-agents:create-atomic-schema`.","create-atomic-schema",{"claudeCode":55},"SKILL.md frontmatter at claude-plugin/atomic-agents/skills/create-atomic-schema/SKILL.md",[344],{"path":319,"priority":277},{"basePath":346,"description":347,"displayName":348,"installMethods":349,"rationale":350,"selectedPaths":351,"source":283,"sourceLanguage":284,"type":320},"claude-plugin/atomic-agents/skills/create-atomic-tool","Build a `BaseTool[InSchema, OutSchema]` subclass — input/output schemas, `BaseToolConfig`, `run()` (and optional `run_async()`), env-driven secrets, typed failure outputs. 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