build-nitro-modules
Builds and designs React Native Nitro Modules with Nitrogen, HybridObject TypeScript specs, Nitro View components, generated native implementations, zero-copy and native-state APIs, Swift/Kotlin/C++ bindings, example apps, and testing. Use when creating a Nitro Module, adding or
Asset-Profil
Recherche und Wissensarbeit
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Szenario
Recherche-Agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent-Fit
Claude Code + CLI + Codex
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add margelo/react-native-skills --skill build-nitro-modules
Wartung
Aktuell
2 Tage seit dem letzten Push
Risiko
Prüfung nötig
Permission surface may require sandboxing
GitHub-Qualität
161
69/100 Qualität · 78/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Nur SandboxNützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Stars
161 GitHub-Stars
Repository-Aktivität
161 Stars und 7 Forks
Wartung
2 Tage seit dem letzten Push
Lizenz
MIT
Installieren
npx skills add margelo/react-native-skills --skill build-nitro-modules
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
shell or command execution, filesystem or document access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Starker README/SKILL.md-Kontext
Risikoübersicht
Vor Produktion prüfen
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 161 stars, 7 forks; issue activity unavailable in current metadata
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist angegeben
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- Research-Agent-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Suchquellen
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add margelo/react-native-skills --skill build-nitro-modules
- Richtlinie
- Prüfen
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 70/100
- Audit
- 81/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add margelo/react-native-skills --skill build-nitro-modulesNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- Hochregulierte Umgebungen ohne interne Sicherheitsprüfung
- No major risk signals from current metadata
- Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
- Permission surface may require sandboxing
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Alternative
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent-Sicherheit v2
49/100 · Automatische Installation vermeiden
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Hoch
Shell- oder Befehlsausführung
Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.
Mittel
Browser automation
Skill may drive a browser or interact with web pages.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
- Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
- Permission surface may require sandboxing
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install margelo-build-nitro-modulesAgent-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/api/agent/resolve?task=Use%20build-nitro-modules%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20build-nitro-modules%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/margelo-build-nitro-modules/install
Agent sollte prüfen
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Prompt kopieren
Task: Use build-nitro-modules in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20build-nitro-modules%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/margelo-build-nitro-modules/install
Install command: npx skills add margelo/react-native-skills --skill build-nitro-modules
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/margelo-build-nitro-modules/install
LLM-Textformat
/api/skills/margelo-build-nitro-modules/install?format=text
Alternativen finden
/api/skills/search?q=build-nitro-modules&limit=3
Agent-Prompt
Use build-nitro-modules for this task. Review https://www.openagentskill.com/api/skills/margelo-build-nitro-modules/install, then install with: npx skills add margelo/react-native-skills --skill build-nitro-modulesRegistry-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/margelo-build-nitro-modules
LLM-Text
/api/registry/manifest/margelo-build-nitro-modules?format=text
Installationsalias
/api/registry/install/margelo-build-nitro-modules
Empfehlen
/api/registry/recommend?task=Use%20build-nitro-modules%20in%20an%20agent%20workflow&limit=3
Agent-Fit
Recherche-Agents
Plattformen
Claude Code
Audit-Bericht
Prüfung nötig · 81/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Rolle im Stack
Fallback-Kandidat
Primäre Eignung
Recherche-Agents
Vertrauenslabel
Zuerst prototypisieren
Installationspfad
Befehl bereit
Verwenden wenn
- Research-Agent-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
Evidenz
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 69/100
- 5 OpenAgentSkill-Interaktionen
zuerst prüfen
- No major risk signals from current metadata
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Recherche-Agents-Aufgabe vollständig aus.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Vertrauensprofil
Nur Sandbox
Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
GitHub-Akzeptanz
Info161 GitHub-Stars
Star-/Fork-Aktivität
Prüfen161 Stars und 7 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden2 Tage seit dem letzten Push
Lizenzklarheit
BestandenMIT
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 161 stars, 7 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternativen-Shortlist
Vor Installation vergleichen
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Übersicht
--- name: build-nitro-modules description: Builds and designs React Native Nitro Modules with Nitrogen, HybridObject TypeScript specs, Nitro View components, generated native implementations, zero-copy and native-state APIs, Swift/Kotlin/C++ bindings, example apps, and testing. Use when creating a Nitro Module, adding or reviewing HybridObjects, building a Nitro View (HybridView) component, designing Nitro-specific public APIs, implementing native functionality, or setting up the nitrogen codegen pipeline. Pair with api-design for general library API shape. license: MIT metadata: author: margelo tags: react-native, nitro-modules, nitrogen, hybrid-object, api-design, swift, kotlin, c++, monorepo, native-modules, codegen ---
# Build Nitro Modules
## Overview
End-to-end skill for building a React Native Nitro Module: monorepo scaffolding via Nitrogen, TypeScript HybridObject spec authoring, native code generation, platform implementation (C++/Swift/Kotlin), example app wiring, and publish preparation.
Nitro Modules use a codegen pipeline (`nitrogen`) that reads `.nitro.ts` spec files and generates native C++/Swift/Kotlin boilerplate. You then fill in the implementation. This is fundamentally different from old-style turbo modules.
Generated files under `nitrogen/generated/` are outputs. Change the `.nitro.ts` spec or native implementation source, then re-run nitrogen instead of manually editing generated files. These files can be committed to git, and many Nitro libraries do commit them, but the repo policy can choose otherwise. They must be included in the npm package so consumers can build the native library.
## Pair With API Design
Use `api-design` first when shaping the public TypeScript, JavaScript, React, or React Native API. This skill adds the Nitro-specific constraints: HybridObject state, generated specs, native resource ownership, zero-copy data, threading, platform implementation, codegen, and real-device validation.
Let `api-design` own general public API rules and API freshness checks. In this skill, only add Nitro-specific freshness checks for mobile toolchain and generated-template decisions: verify current Nitro, React Native, Gradle, Xcode, Swift, Kotlin, NDK, and package-tooling docs/source before choosing versions, config fields, or native implementation details.
If the user is building a JS-only React or React Native library, do not apply this skill unless Nitro, HybridObjects, native modules, codegen, C++/Swift/Kotlin bindings, or `react-native-nitro-modules` are part of the task.
Pair with `swift` when implementing or reviewing Swift-backed HybridObjects, AVFoundation/session code, DispatchQueue usage, Swift concurrency, or thread-affine Swift state. Pair with `kotlin` when implementing or reviewing Kotlin-backed HybridObjects, Android threading, coroutines, Kotlin nullability, sealed result models, or Android service access. Pair with `cpp` when implementing or reviewing C++-backed HybridObjects, shared native engines, CMake, RAII ownership, or generated C++ spec bindings.
## Repo and Release References
Load [repo-structure-and-workflow.md][repo-structure-and-workflow] only when creating a repo, reorganizing layout, adding examples/docs/CI, or changing workflow policy.
Load [release-it-publishing.md][release-it-publishing] only when setting up or reviewing `bun release` / `release-it`.
## Nitro API Design Rules
- Prefer Nitro Modules over TurboModules or handwritten JSI for native module work. Nitro is usually faster and safer because it avoids many raw JSI lifetime, threading, and runtime-destruction hazards. Use raw JSI only when Nitro's Raw JSI Methods are required. - Keep the root HybridObject default-constructible for autolinking. Create argument-dependent objects through factory methods. - Use HybridObjects for native state: native resources, prewarmed engines, files, images, databases, sensor sessions, streams, and other stateful objects. - If native setup is required, make the factory method async and resolve with a ready HybridObject, such as `createCameraSession(...): Promise<CameraSession>`. - One JS-facing HybridObject spec can have multiple native concrete classes implementing the generated spec. Use this to hide backend strategies behind one TypeScript type, for example `CameraVideoOutput` backed by either a movie-file output or a video-data-output plus asset writer. Factories choose the native implementation and return the shared spec type. - Use a product/domain noun for the exported JS factory object, not the generated spec type name. For example, export `VisionCamera = createHybridObject<CameraFactory>('CameraFactory')` or `Images = createHybridObject<ImageFactory>('ImageFactory')`. This avoids collisions with `CameraFactory`/`ImageFactory` types without mechanically lowercasing them or adding `Hybrid` prefixes. - Keep each HybridObject scoped to one purpose or lifecycle. - Do not choose HybridObject boundaries only by domain noun. A one-shot command, an app-owned live session, a native view, and a long-lived engine are different contracts even when they belong to the same feature area. - Split returned HybridObjects by stable semantic capability when their options, results, lifecycle, or future platform support differ. For example, a root `DataScannerFactory` can expose `createBarcodeScanner()` and `createTextScanner()` instead of one broad scanner whose text fields are nullable because Android currently supports only barcodes. - It is valid for a factory to report `isTextScannerAvailable: false` or reject `createTextScanner()` on platforms that do not support that capability today. Future platform support should fill in the existing capability and flip availability to true, not require redesigning a fat HybridObject. - Platform-specific capabilities can still be first-class HybridObjects when the concept is stable. For example, an iOS-only `CameraObjectOutput` can extend a shared `CameraOutput`, be marked `@platform iOS`, and reject at `createObjectOutput(...)` on Android instead of adding object-scanning nullable fields to every output. - Use factory methods to separate workflows and make returned HybridObjects stronger. If `createLiveScanner()` returns a live scanner session, baseline session operations that the implementation controls should be guaranteed by that type. Backends that cannot provide the live workflow should fail creation or return a narrower object, not force the live object to expose dead methods, nullable baseline properties, or repeated `can*` checks. - Return configured handles to avoid stale state. If `configure(...)` binds a device, output, stream, or native graph, return a new HybridObject handle for commands that only make sense for that configured resource. For example, a `CameraSession.configure(...)` method should return `CameraController` handles for `setZoom(...)` and `focusTo(...)` instead of putting those methods on `CameraSession` with implicit "current device" state. - Reconfiguration should replace or invalidate handles whose native target changed. Do not keep commands on a broad parent HybridObject when the command target depends on the last successful configuration. - For native negotiation, model requested intent separately from resolved state. Use ranked constraints or preferences as input, then return or emit a resolved config HybridObject/struct that describes what the session actually selected. Provide an explicit resolver method when callers need to preview the result without creating or starting the native session. - Use capability fields for workflow discovery, optional preferences, and genuinely variable support. Do not use capabilities to paper over an oversized HybridObject whose methods are unsupported during normal use on a supported backend. - Treat HybridObjects as primary API objects. Each primary HybridObject gets its own `.nitro.ts` file. - Keep an inheritance family in one `.nitro.ts` file only when the file is named after the base HybridObject and child HybridObjects add few or no members, such as `ScannedCode`, `ScannedBarcode`, and `ScannedQRCode` in `ScannedCode.nitro.ts`. - Put named codegen types in their own `.ts` files: string-literal unions/enums, structs/interfaces, option objects, event objects, callback option structs, and helper types. Nitro needs names for generated native structs and enum-like values. Import them into `.nitro.ts` specs and re-export public types from `src/index.ts`. - Inline simple function callbacks in method signatures, for example `addErrorListener(listener: (error: Error) => void): ListenerSubscription`. Do not create one-off aliases such as `ScannerErrorListener` unless the function type is reused as a public concept across multiple APIs. - Group multiple helper types in one file only when they form one tightly coupled logical construct, such as `DynamicRange` plus the exact literal unions that define it. - Use HybridObject inheritance for shared native state plus specialized result shapes. Put shared properties such as IDs, bounds, raw values, formats, and value types on the base object instead of repeating them on every subtype. - Use HybridObject inheritance for heterogeneous native result families. Example: `ScannedItem` owns common state and methods, while `ScannedBarcode`, `ScannedQRCode`, and `ScannedFace` extend it with specialized properties. APIs can return `ScannedItem[]`; JS narrows by a discriminator property, and native code can accept the generated base spec when it only needs common behavior. - Do not model state families as one Nitro struct or HybridObject with every subtype field nullable. Use HybridObject inheritance, discriminated unions, or platform protocol/interface conformance so relationships such as `barcode` plus `barcodeType` are compile-time safe. - Treat public Nitro HybridObjects as the imperative API. Export the generated Nitro API 1:1 when it is intended for users; do not add JS wrappers that pre-parse values, translate strings/enums, reshape options, inject hidden defaults, or call a different internal method shape than the `.nitro.ts` spec exposes. - JS/TS layers are appropriate for intentionally higher-level APIs such as React hooks, React components, UI composition helpers, or when the HybridObject is only an internal implementation detail and does not match the user-facing mental model. In those cases, keep the boundary explicit: the wrapper is the public API and the Nitro object is internal. - Autolink only public roots, factories, views, or global utilities that JS must construct directly. Other HybridObjects can be returned from factory methods and do not need their own `nitro.json` autolinking entries. Do not autolink every concrete native implementation of the same JS-facing spec. - For native extension points, pair a JS-facing base HybridObject spec with a public native protocol/interface. The base spec lets JS pass the object through typed APIs; the native protocol/interface exposes platform-specific handles and behavior for first-party and third-party native code. - When accepting an extensible HybridObject from JS, accept the generated base spec type, then cast to the native protocol/interface on the native side and throw a clear error if it does not conform. This keeps JS portable while native integrations stay strongly typed. - Use Nitro structs for domain shapes, option groups, and same-type parameter clusters. Do not wrap unrelated hot-path values in a struct only to reduce argument count; Nitro eagerly converts structs, so unnecessary wrappers can be slower than explicit parameters. - Remember that TypeScript optional fields become native optionals (`T?` / `std::optional<T>`) in generated Swift, Kotlin, and C++. Use optional Nitro fields only when absence is part of the intended public/native contract, not because a JS wrapper will translate them away. - Prefer the Nitro method's generated structs to be the real public input shape. If defaults or resolved options are
Technische Details
- Version
- 1.0.0
- Lizenz
- MIT
- Letzte Aktualisierung
- 21. Aug. 2026
- Veröffentlicht
- 21. Aug. 2026
Entscheidungsübersicht
Fallback-Kandidat
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 83/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für build-nitro-modules, bereit für einen manuellen X-Post.
A practical pick for design or creative work: build-nitro-modules: Builds and designs React Native Nitro Modules with Nitrogen, HybridObject TypeScript specs, Nitro View components, generate... 161 stars https://www.openagentskill.com/skills/margelo-build-nitro-modules?ref=x
Optionale Antwort mit Installationsbefehl
Listing + install path for build-nitro-modules: https://www.openagentskill.com/skills/margelo-build-nitro-modules?ref=x Install: npx skills add margelo/react-native-skills --skill build-nitro-modules
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- margelo
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird margelo zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/margelo-build-nitro-modules)
[](https://www.openagentskill.com/skills/margelo-build-nitro-modules)
[](https://www.openagentskill.com/skills/margelo-build-nitro-modules/audit)
[](https://www.openagentskill.com/skills/margelo-build-nitro-modules)Autor
margelo
@margelo
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 161
- Qualitätswert
- 39/100
- Letzter GitHub-Push
- 21. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 5
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
Vertrauen & Sicherheit
Nur Sandbox
- GitHub-Akzeptanz161 GitHub-StarsInfo
- Star-/Fork-Aktivität161 Stars und 7 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
- Aktuelle Wartung2 Tage seit dem letzten PushBestanden
- LizenzklarheitMITBestanden
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikonetwork or browser surfaceBestanden
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