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openui-forge-go

OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.

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Preis unbestätigt★ 22 GitHub-StarsVerzeichnis aktualisiert · 13. Sept. 2026agent-skill

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OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.

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OpenUI Forge — Go

Build generative UI apps with a React frontend + Go backend. Streams OpenAI API responses directly via net/http.

Activation Triggers

"openui go", "openui golang", "openui go backend"
"generative ui go", "go streaming ui backend"

Prerequisites

Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
Go >= 1.24 (backend; 1.23 and older are out of security support as of Go 1.26)
OPENAI_API_KEY environment variable set

Quick Start

Create the React frontend and install OpenUI deps:

npm install @openuidev/react-ui @openuidev/react-headless @openuidev/react-lang lucide-react zod

Generate the system prompt:

npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt

Create the Go backend (see Full Code below)
Run: go run main.go on :8080, frontend on :3000

Full Code

Backend: `backend/go.mod`

module openui-backend

go 1.24

require (
    github.com/joho/godotenv v1.5.1
)

Backend: `backend/main.go`

package main

import (
	"bufio"
	"bytes"
	"encoding/json"
	"fmt"
	"log"
	"net/http"
	"os"

	_ "github.com/joho/godotenv/autoload"
)

var systemPrompt string

func init() {
	data, err := os.ReadFile("system-prompt.txt")
	if err != nil {
		log.Fatal("system-prompt.txt not found: ", err)
	}
	systemPrompt = string(data)
}

func corsMiddleware(next http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		w.Header().Set("Access-Control-Allow-Origin", "http://localhost:3000")
		w.Header().Set("Vary", "Origin")
		w.Header().Set("Access-Control-Allow-Methods", "POST, OPTIONS")
		w.Header().Set("Access-Control-Allow-Headers", "Content-Type, Authorization")
		if r.Method == "OPTIONS" {
			w.WriteHeader(204)
			return
		}
		next.ServeHTTP(w, r)
	})
}

type Message struct {
	Role    string `json:"role"`
	Content string `json:"content"`
}

type ChatRequest struct {
	Messages []Message `json:"messages"`
}

func chatHandler(w http.ResponseWriter, r *http.Request) {
	if r.Method != "POST" {
		http.Error(w, "Method not allowed", 405)
		return
	}

	var req ChatRequest
	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
		http.Error(w, "Bad request", 400)
		return
	}

	messages := append([]Message{{Role: "system", Content: systemPrompt}}, req.Messages...)
	model := os.Getenv("OPENAI_MODEL")
	if model == "" {
		model = "gpt-5.5"
	}
	body, _ := json.Marshal(map[string]interface{}{
		"model": model, "stream": true, "messages": messages,
	})

	apiReq, _ := http.NewRequest("POST", "https://api.openai.com/v1/chat/completions", bytes.NewReader(body))
	apiReq.Header.Set("Content-Type", "application/json")
	apiReq.Header.Set("Authorization", "Bearer "+os.Getenv("OPENAI_API_KEY"))

	resp, err := http.DefaultClient.Do(apiReq)
	if err != nil {
		http.Error(w, "OpenAI request failed", 502)
		return
	}
	defer resp.Body.Close()

	w.Header().Set("Content-Type", "text/event-stream")
	w.Header().Set("Cache-Control", "no-cache")
	w.Header().Set("Connection", "keep-alive")

	flusher, ok := w.(http.Flusher)
	if !ok {
		http.Error(w, "Streaming not supported", 500)
		return
	}

	// Forward upstream SSE line-by-line so the client sees tokens as they
	// arrive instead of waiting for the whole stream to complete.
	scanner := bufio.NewScanner(resp.Body)
	scanner.Buffer(make([]byte, 0, 64*1024), 1024*1024)
	for scanner.Scan() {
		line := scanner.Bytes()
		if _, err := w.Write(line); err != nil {
			return
		}
		if _, err := w.Write([]byte("\n")); err != nil {
			return
		}
		flusher.Flush()
	}
}

func main() {
	mux := http.NewServeMux()
	mux.HandleFunc("/api/chat", chatHandler)

	fmt.Println("Go backend listening on :8080")
	log.Fatal(http.ListenAndServe(":8080", corsMiddleware(mux)))
}

Frontend: `app/chat/page.tsx`

"use client";
import { FullScreen } from "@openuidev/react-ui";
import { openuiChatLibrary } from "@openuidev/react-ui/genui-lib";
import {
  openAIAdapter,
  openAIMessageFormat,
} from "@openuidev/react-headless";

export default function ChatPage() {
  return (
    <FullScreen
      componentLibrary={openuiChatLibrary}
      streamProtocol={openAIAdapter()}
      messageFormat={openAIMessageFormat}
      apiUrl="http://localhost:8080/api/chat"
    />
  );
}

The Go backend forwards OpenAI's SSE stream line-by-line with a bufio.Scanner loop, flushing after each line (no io.Copy), so the client sees tokens as they arrive. Pair it with openAIAdapter() on the frontend. openAIReadableStreamAdapter() is for NDJSON (no data: prefix) and will silently produce no output here.

An official OpenAI Go SDK exists (github.com/openai/openai-go/v3, ~v3.41.0, requires Go 1.22+) as an alternative to hand-rolling the HTTP call. This skill keeps raw net/http as the dependency-free default. Note the SDK still ships small, limited breaking changes between releases (per its own README, some backwards-incompatible changes land in minor versions), so pin a version if you adopt it.

System Prompt Generation

npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt

Validation Checklist

system-prompt.txt exists in the Go backend directory
OPENAI_API_KEY is set in environment or .env
CORS middleware allows the frontend origin
Response streams SSE directly from OpenAI API (passthrough)
Frontend apiUrl points to http://localhost:8080/api/chat
Frontend uses streamProtocol={openAIAdapter()} and openAIMessageFormat
componentLibrary={openuiChatLibrary} prop passed to FullScreen
CSS import in root layout (@openuidev/react-ui/components.css)

Error Patterns

Error	Cause	Fix
CORS blocked	Origin mismatch	Update `Access-Control-Allow-Origin` in middleware
`system-prompt.txt not found`	File missing from backend dir	Run CLI generate command
502 Bad Gateway	OpenAI API unreachable or key invalid	Check `OPENAI_API_KEY` and network
Stream not flushing	Missing `http.Flusher`	Ensure handler calls `flusher.Flush()`
Empty response	Body not forwarded	Verify the `bufio.Scanner` loop writes and flushes each line

Quelle ansehen ↗

Dateimetadaten

name: openui-forge-go
description: OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.
version: 1.2.0
author: OthmanAdi

Originaltext anzeigen

---
name: openui-forge-go
description: OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.
version: 1.2.0
author: OthmanAdi
---

# OpenUI Forge — Go

Build generative UI apps with a React frontend + Go backend. Streams OpenAI API responses directly via net/http.

## Activation Triggers

- "openui go", "openui golang", "openui go backend"
- "generative ui go", "go streaming ui backend"

## Prerequisites

- Node.js >= 22 (24 LTS recommended) + React >= 18.3.1 (19+ recommended) (frontend)
- Go >= 1.24 (backend; 1.23 and older are out of security support as of Go 1.26)
- `OPENAI_API_KEY` environment variable set

## Quick Start

1. Create the React frontend and install OpenUI deps:
```bash
npm install @openuidev/react-ui @openuidev/react-headless @openuidev/react-lang lucide-react zod
```
2. Generate the system prompt:
```bash
npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt
```
3. Create the Go backend (see Full Code below)
4. Run: `go run main.go` on `:8080`, frontend on `:3000`

## Full Code

### Backend: `backend/go.mod`

```
module openui-backend

go 1.24

require (
    github.com/joho/godotenv v1.5.1
)
```

### Backend: `backend/main.go`

```go
package main

import (
	"bufio"
	"bytes"
	"encoding/json"
	"fmt"
	"log"
	"net/http"
	"os"

	_ "github.com/joho/godotenv/autoload"
)

var systemPrompt string

func init() {
	data, err := os.ReadFile("system-prompt.txt")
	if err != nil {
		log.Fatal("system-prompt.txt not found: ", err)
	}
	systemPrompt = string(data)
}

func corsMiddleware(next http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		w.Header().Set("Access-Control-Allow-Origin", "http://localhost:3000")
		w.Header().Set("Vary", "Origin")
		w.Header().Set("Access-Control-Allow-Methods", "POST, OPTIONS")
		w.Header().Set("Access-Control-Allow-Headers", "Content-Type, Authorization")
		if r.Method == "OPTIONS" {
			w.WriteHeader(204)
			return
		}
		next.ServeHTTP(w, r)
	})
}

type Message struct {
	Role    string `json:"role"`
	Content string `json:"content"`
}

type ChatRequest struct {
	Messages []Message `json:"messages"`
}

func chatHandler(w http.ResponseWriter, r *http.Request) {
	if r.Method != "POST" {
		http.Error(w, "Method not allowed", 405)
		return
	}

	var req ChatRequest
	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
		http.Error(w, "Bad request", 400)
		return
	}

	messages := append([]Message{{Role: "system", Content: systemPrompt}}, req.Messages...)
	model := os.Getenv("OPENAI_MODEL")
	if model == "" {
		model = "gpt-5.5"
	}
	body, _ := json.Marshal(map[string]interface{}{
		"model": model, "stream": true, "messages": messages,
	})

	apiReq, _ := http.NewRequest("POST", "https://api.openai.com/v1/chat/completions", bytes.NewReader(body))
	apiReq.Header.Set("Content-Type", "application/json")
	apiReq.Header.Set("Authorization", "Bearer "+os.Getenv("OPENAI_API_KEY"))

	resp, err := http.DefaultClient.Do(apiReq)
	if err != nil {
		http.Error(w, "OpenAI request failed", 502)
		return
	}
	defer resp.Body.Close()

	w.Header().Set("Content-Type", "text/event-stream")
	w.Header().Set("Cache-Control", "no-cache")
	w.Header().Set("Connection", "keep-alive")

	flusher, ok := w.(http.Flusher)
	if !ok {
		http.Error(w, "Streaming not supported", 500)
		return
	}

	// Forward upstream SSE line-by-line so the client sees tokens as they
	// arrive instead of waiting for the whole stream to complete.
	scanner := bufio.NewScanner(resp.Body)
	scanner.Buffer(make([]byte, 0, 64*1024), 1024*1024)
	for scanner.Scan() {
		line := scanner.Bytes()
		if _, err := w.Write(line); err != nil {
			return
		}
		if _, err := w.Write([]byte("\n")); err != nil {
			return
		}
		flusher.Flush()
	}
}

func main() {
	mux := http.NewServeMux()
	mux.HandleFunc("/api/chat", chatHandler)

	fmt.Println("Go backend listening on :8080")
	log.Fatal(http.ListenAndServe(":8080", corsMiddleware(mux)))
}
```

### Frontend: `app/chat/page.tsx`

```tsx
"use client";
import { FullScreen } from "@openuidev/react-ui";
import { openuiChatLibrary } from "@openuidev/react-ui/genui-lib";
import {
  openAIAdapter,
  openAIMessageFormat,
} from "@openuidev/react-headless";

export default function ChatPage() {
  return (
    <FullScreen
      componentLibrary={openuiChatLibrary}
      streamProtocol={openAIAdapter()}
      messageFormat={openAIMessageFormat}
      apiUrl="http://localhost:8080/api/chat"
    />
  );
}
```

> The Go backend forwards OpenAI's SSE stream line-by-line with a `bufio.Scanner` loop, flushing after each line (no `io.Copy`), so the client sees tokens as they arrive. Pair it with `openAIAdapter()` on the frontend. `openAIReadableStreamAdapter()` is for NDJSON (no `data:` prefix) and will silently produce no output here.
>
> An official OpenAI Go SDK exists (`github.com/openai/openai-go/v3`, ~v3.41.0, requires Go 1.22+) as an alternative to hand-rolling the HTTP call. This skill keeps raw `net/http` as the dependency-free default. Note the SDK still ships small, limited breaking changes between releases (per its own README, some backwards-incompatible changes land in minor versions), so pin a version if you adopt it.

## System Prompt Generation

```bash
npx @openuidev/cli generate ./src/lib/library.ts --out backend/system-prompt.txt
```

## Validation Checklist

- [ ] `system-prompt.txt` exists in the Go backend directory
- [ ] `OPENAI_API_KEY` is set in environment or `.env`
- [ ] CORS middleware allows the frontend origin
- [ ] Response streams SSE directly from OpenAI API (passthrough)
- [ ] Frontend `apiUrl` points to `http://localhost:8080/api/chat`
- [ ] Frontend uses `streamProtocol={openAIAdapter()}` and `openAIMessageFormat`
- [ ] `componentLibrary={openuiChatLibrary}` prop passed to `FullScreen`
- [ ] CSS import in root layout (`@openuidev/react-ui/components.css`)

## Error Patterns

| Error | Cause | Fix |
|-------|-------|-----|
| CORS blocked | Origin mismatch | Update `Access-Control-Allow-Origin` in middleware |
| `system-prompt.txt not found` | File missing from backend dir | Run CLI generate command |
| 502 Bad Gateway | OpenAI API unreachable or key invalid | Check `OPENAI_API_KEY` and network |
| Stream not flushing | Missing `http.Flusher` | Ensure handler calls `flusher.Flush()` |
| Empty response | Body not forwarded | Verify the `bufio.Scanner` loop writes and flushes each line |

Quelle prüfen

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Lizenz: MIT
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Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

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Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 22 GitHub stars
Stars/forks activity: 22 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

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Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: OthmanAdi/openui-forge
Lizenz: MIT
Version: 1.2.0
Letzter GitHub-Push: 3. Aug. 2026
Verzeichnis aktualisiert: 13. Sept. 2026
Anleitungspfad: .agents/skills/openui-forge-go/SKILL.md @ 977180d4d3e9

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

49/100

Prüfung nötig

Vertrauen

56/100

Do not auto-install

Audit

67/100

Prüfung nötig

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Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 22 GitHub stars
Stars/forks activity: 22 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

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Weitere Details

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    "label": "Manual review",
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    "install_policy": "block",
    "evidence": {
      "stars": "22 GitHub stars",
      "repoActivity": "22 stars, 0 forks",
      "lastPushed": "2mo since push",
      "license": "MIT",
      "repository": "https://github.com/OthmanAdi/openui-forge/tree/main/.agents/skills/openui-forge-go",
      "install": "npx skills add OthmanAdi/openui-forge --skill openui-forge-go",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 22 GitHub stars",
      "Stars/forks activity: 22 stars, 0 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 67,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 49,
    "label": "Needs review"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use openui-forge-go in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 64/100 Manual review",
      "Audit: 67/100 Needs review",
      "Safety: 27/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "othmanadi-openui-forge-go (openui-forge-go)",
      "install_command": "npx skills add OthmanAdi/openui-forge --skill openui-forge-go",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "othmanadi-openui-forge-go",
      "task": "Use openui-forge-go in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/othmanadi-openui-forge-go",
    "api": "https://www.openagentskill.com/api/agent/skills/othmanadi-openui-forge-go",
    "audit": "https://www.openagentskill.com/skills/othmanadi-openui-forge-go/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=othmanadi-openui-forge-go&task=Use%20openui-forge-go%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20openui-forge-go%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20openui-forge-go%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/othmanadi-openui-forge-go/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/othmanadi-openui-forge-go"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

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Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: OthmanAdi
Quelle: OthmanAdi/openui-forge
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

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