Crawler Summary
通过对话直接生成 AI 图片。当用户发送图片生成提示词（如"画一只猫"、"生成一张风景图"等）时触发。使用 Replicate 的 prunaai/z-image-turbo 模型实现快速图像生成。 --- name: chat2img description: 通过对话直接生成 AI 图片。当用户发送图片生成提示词（如"画一只猫"、"生成一张风景图"等）时触发。使用 Replicate 的 prunaai/z-image-turbo 模型实现快速图像生成。 --- 对话生图 (Chat2Img) 通过简单的对话即可生成 AI 图片，无需打开其他软件。 触发条件 当用户发送以下类型的消息时触发此技能： - "画一只在月亮上的兔子" - "生成一张赛博朋克风格的城市夜景" - "Create an image of..." - 任何包含明确图像生成意图的描述 使用方法 1. 提取提示词 从用户输入中提取图片生成提示词（prompt）。如果用户说： - "画一只猫" → prompt = "一只可爱的猫" - "生成风景图" → prompt = "美丽的风景图" 2. 生成图片 使用提供的脚本调用 Replicate API： Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
chat2img is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
通过对话直接生成 AI 图片。当用户发送图片生成提示词（如"画一只猫"、"生成一张风景图"等）时触发。使用 Replicate 的 prunaai/z-image-turbo 模型实现快速图像生成。 --- name: chat2img description: 通过对话直接生成 AI 图片。当用户发送图片生成提示词（如"画一只猫"、"生成一张风景图"等）时触发。使用 Replicate 的 prunaai/z-image-turbo 模型实现快速图像生成。 --- 对话生图 (Chat2Img) 通过简单的对话即可生成 AI 图片，无需打开其他软件。 触发条件 当用户发送以下类型的消息时触发此技能： - "画一只在月亮上的兔子" - "生成一张赛博朋克风格的城市夜景" - "Create an image of..." - 任何包含明确图像生成意图的描述 使用方法 1. 提取提示词 从用户输入中提取图片生成提示词（prompt）。如果用户说： - "画一只猫" → prompt = "一只可爱的猫" - "生成风景图" → prompt = "美丽的风景图" 2. 生成图片 使用提供的脚本调用 Replicate API：
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Rnsss
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Setup snapshot
git clone https://github.com/rnsss/openclaw-chat2img.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Rnsss
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
2
Snippets
0
Languages
typescript
Parameters
bash
export REPLICATE_API_TOKEN="your_token_here" python3 /root/.openclaw/workspace/skills/chat2img/scripts/generate_image.py "提示词"
bash
export REPLICATE_API_TOKEN="r8_xxxxxxxxxxxxxxxx"
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
通过对话直接生成 AI 图片。当用户发送图片生成提示词（如"画一只猫"、"生成一张风景图"等）时触发。使用 Replicate 的 prunaai/z-image-turbo 模型实现快速图像生成。 --- name: chat2img description: 通过对话直接生成 AI 图片。当用户发送图片生成提示词（如"画一只猫"、"生成一张风景图"等）时触发。使用 Replicate 的 prunaai/z-image-turbo 模型实现快速图像生成。 --- 对话生图 (Chat2Img) 通过简单的对话即可生成 AI 图片，无需打开其他软件。 触发条件 当用户发送以下类型的消息时触发此技能： - "画一只在月亮上的兔子" - "生成一张赛博朋克风格的城市夜景" - "Create an image of..." - 任何包含明确图像生成意图的描述 使用方法 1. 提取提示词 从用户输入中提取图片生成提示词（prompt）。如果用户说： - "画一只猫" → prompt = "一只可爱的猫" - "生成风景图" → prompt = "美丽的风景图" 2. 生成图片 使用提供的脚本调用 Replicate API：
通过简单的对话即可生成 AI 图片，无需打开其他软件。
当用户发送以下类型的消息时触发此技能：
从用户输入中提取图片生成提示词（prompt）。如果用户说：
使用提供的脚本调用 Replicate API：
export REPLICATE_API_TOKEN="your_token_here"
python3 /root/.openclaw/workspace/skills/chat2img/scripts/generate_image.py "提示词"
脚本会返回生成图片的 URL。
将生成的图片 URL 发送给用户。
需要设置 Replicate API Token：
export REPLICATE_API_TOKEN="r8_xxxxxxxxxxxxxxxx"
Token 可以从 https://replicate.com/account/api-tokens 获取。
用户: 画一只穿着宇航服的猫在火星上
助手: 正在生成图片，请稍候... [调用脚本生成图片]
图片已生成！ [显示图片]
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/snapshot"
curl -s "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/contract"
curl -s "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
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Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
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Traction
No public download signal
Freshness
Updated 5d ago
Rank
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Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
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Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T00:49:22.809Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Rnsss",
"href": "https://github.com/rnsss/openclaw-chat2img",
"sourceUrl": "https://github.com/rnsss/openclaw-chat2img",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T02:24:10.932Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T02:24:10.932Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/rnsss-openclaw-chat2img/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to chat2img and adjacent AI workflows.