Xpersona

Crawler Summary

jimeng-ai answer-first brief

基于火山引擎即梦AI的文生图/文生视频能力，支持通过文本描述生成图片和视频。 --- name: jimeng-ai description: 基于火山引擎即梦AI的文生图/文生视频能力，支持通过文本描述生成图片和视频。 --- 即梦AI 文生图/文生视频 Skill 基于火山引擎即梦AI的文生图和文生视频能力，支持通过文本描述生成图片和视频。 功能特性 - **执行过程存储**：使用 MD5(提示词) 作为文件夹名保存任务状态 - **异步查询**：支持断点续传，避免重复提交相同任务 - **Base64 图片处理**：直接从 API 响应中解码并保存图片 - 支持即梦AI文生图（v3.0 / v3.1 / v4.0） - 支持即梦AI文生视频（v3.0 1080P） - 可配置宽高比、生成数量、自定义尺寸 所需环境变量 | 变量名 | 是否必需 | 说明 | |--------|----------|------| | VOLCENGINE_AK | **必需** | 火山引擎 Access Key Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 3/1/2026.

Freshness

Last checked 3/1/2026

Best For

jimeng-ai 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

jimeng-ai

基于火山引擎即梦AI的文生图/文生视频能力，支持通过文本描述生成图片和视频。 --- name: jimeng-ai description: 基于火山引擎即梦AI的文生图/文生视频能力，支持通过文本描述生成图片和视频。 --- 即梦AI 文生图/文生视频 Skill 基于火山引擎即梦AI的文生图和文生视频能力，支持通过文本描述生成图片和视频。 功能特性 - **执行过程存储**：使用 MD5(提示词) 作为文件夹名保存任务状态 - **异步查询**：支持断点续传，避免重复提交相同任务 - **Base64 图片处理**：直接从 API 响应中解码并保存图片 - 支持即梦AI文生图（v3.0 / v3.1 / v4.0） - 支持即梦AI文生视频（v3.0 1080P） - 可配置宽高比、生成数量、自定义尺寸 所需环境变量 | 变量名 | 是否必需 | 说明 | |--------|----------|------| | VOLCENGINE_AK | **必需** | 火山引擎 Access Key

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Mar 1, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 3/1/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Mar 1, 2026

Vendor

Maoshuorz

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 3/1/2026.

View Source

Setup snapshot

git clone https://github.com/maoshuorz/jimeng-ai-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Maoshuorz

profilemedium
Observed Mar 1, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Mar 1, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Mar 1, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

export VOLCENGINE_AK="your-access-key"
export VOLCENGINE_SK="your-secret-key"

# 如果使用临时凭证(STS)，还需要设置 Token
export VOLCENGINE_TOKEN="your-security-token"

bash

cd ~/.openclaw/workspace/skills/jimeng-ai
npm install

bash

$ npx ts-node scripts/text2image.ts "一只可爱的猫咪"
任务已提交，TaskId: 1234567890

bash

$ npx ts-node scripts/text2image.ts "一只可爱的猫咪"
任务未完成，TaskId: 1234567890

# 或者任务完成时：
$ npx ts-node scripts/text2image.ts "一只可爱的猫咪"
任务已完成，图片保存路径：
  - ./output/<md5_hash>/1.jpg
  - ./output/<md5_hash>/2.jpg

bash

npx ts-node scripts/text2image.ts "一只可爱的猫咪"

bash

npx ts-node scripts/text2image.ts "提示词" \
  --version v40 \
  --ratio 16:9 \
  --count 2

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

基于火山引擎即梦AI的文生图/文生视频能力，支持通过文本描述生成图片和视频。 --- name: jimeng-ai description: 基于火山引擎即梦AI的文生图/文生视频能力，支持通过文本描述生成图片和视频。 --- 即梦AI 文生图/文生视频 Skill 基于火山引擎即梦AI的文生图和文生视频能力，支持通过文本描述生成图片和视频。 功能特性 - **执行过程存储**：使用 MD5(提示词) 作为文件夹名保存任务状态 - **异步查询**：支持断点续传，避免重复提交相同任务 - **Base64 图片处理**：直接从 API 响应中解码并保存图片 - 支持即梦AI文生图（v3.0 / v3.1 / v4.0） - 支持即梦AI文生视频（v3.0 1080P） - 可配置宽高比、生成数量、自定义尺寸 所需环境变量 | 变量名 | 是否必需 | 说明 | |--------|----------|------| | VOLCENGINE_AK | **必需** | 火山引擎 Access Key

Full README

name: jimeng-ai description: 基于火山引擎即梦AI的文生图/文生视频能力，支持通过文本描述生成图片和视频。

即梦AI 文生图/文生视频 Skill

基于火山引擎即梦AI的文生图和文生视频能力，支持通过文本描述生成图片和视频。

功能特性

  • 执行过程存储：使用 MD5(提示词) 作为文件夹名保存任务状态
  • 异步查询：支持断点续传，避免重复提交相同任务
  • Base64 图片处理：直接从 API 响应中解码并保存图片
  • 支持即梦AI文生图（v3.0 / v3.1 / v4.0）
  • 支持即梦AI文生视频（v3.0 1080P）
  • 可配置宽高比、生成数量、自定义尺寸

所需环境变量

| 变量名 | 是否必需 | 说明 | |--------|----------|------| | VOLCENGINE_AK | 必需 | 火山引擎 Access Key | | VOLCENGINE_SK | 条件必需 | 火山引擎 Secret Key（永久凭证必需） | | VOLCENGINE_TOKEN | 可选 | 安全令牌（临时凭证 STS 必需） |

注意：使用临时凭证（AKTP 开头）时，可以只使用 AK + Token，不需要 SK。

配置示例

export VOLCENGINE_AK="your-access-key"
export VOLCENGINE_SK="your-secret-key"

# 如果使用临时凭证(STS)，还需要设置 Token
export VOLCENGINE_TOKEN="your-security-token"

获取方式：

  1. 登录 火山引擎控制台
  2. 进入"访问控制" -> "密钥管理"
  3. 创建或查看已有访问密钥

安装依赖

cd ~/.openclaw/workspace/skills/jimeng-ai
npm install

工作流程

首次执行（新任务）

使用新提示词运行时，脚本将：

  1. 向 API 提交任务
  2. 使用 md5(提示词) 作为文件夹名创建目录
  3. 保存 param.json、response.json 和 taskId.txt
  4. 输出："任务已提交，TaskId: xxx"
$ npx ts-node scripts/text2image.ts "一只可爱的猫咪"
任务已提交，TaskId: 1234567890

后续执行（异步查询）

使用相同提示词运行将查询已有任务：

  1. 如果图片已存在 → 立即返回图片路径
  2. 如果任务未完成 → 输出："任务未完成，TaskId: xxx"
  3. 如果任务已完成 → 从 binary_data_base64 解码并保存图片
$ npx ts-node scripts/text2image.ts "一只可爱的猫咪"
任务未完成，TaskId: 1234567890

# 或者任务完成时：
$ npx ts-node scripts/text2image.ts "一只可爱的猫咪"
任务已完成，图片保存路径：
  - ./output/<md5_hash>/1.jpg
  - ./output/<md5_hash>/2.jpg

使用方法

基础用法

npx ts-node scripts/text2image.ts "一只可爱的猫咪"

完整参数

npx ts-node scripts/text2image.ts "提示词" \
  --version v40 \
  --ratio 16:9 \
  --count 2

参数说明

| 参数 | 说明 | 默认值 | |------|------|--------| | prompt | 图片生成提示词（必填） | - | | --version | API版本: v30, v31, v40 | v31 | | --ratio | 宽高比: 1:1, 9:16, 16:9, 3:4, 4:3, 2:3, 3:2, 1:2, 2:1 | 16:9 | | --count | 生成数量 1-4 | 1 | | --width | 指定宽度（可选） | - | | --height | 指定高度（可选） | - | | --size | 指定面积（可选，如 4194304 表示 2048x2048） | - | | --seed | 随机种子（可选） | - | | --output | 图片输出目录 | ./output | | --debug | 调试模式 | false | | --no-download | 不下载图片，只返回URL | false |

输出格式

任务已提交（首次运行）

{
  "success": true,
  "submitted": true,
  "prompt": "一只可爱的猫咪",
  "version": "v40",
  "ratio": "1:1",
  "count": 1,
  "taskId": "1234567890",
  "folder": "./output/<md5_hash>",
  "message": "任务已提交，请稍后使用相同提示词查询结果"
}

任务已完成

{
  "success": true,
  "prompt": "一只可爱的猫咪",
  "version": "v40",
  "ratio": "1:1",
  "count": 1,
  "taskId": "1234567890",
  "images": [
    "./output/<md5_hash>/1.jpg",
    "./output/<md5_hash>/2.jpg"
  ],
  "outputDir": "./output/<md5_hash>"
}

任务未完成

{
  "success": true,
  "prompt": "一只可爱的猫咪",
  "version": "v40",
  "ratio": "1:1",
  "count": 1,
  "taskId": "1234567890",
  "folder": "./output/<md5_hash>",
  "message": "任务未完成，请稍后使用相同提示词查询结果"
}

错误响应

{
  "success": false,
  "error": {
    "code": "MISSING_CREDENTIALS",
    "message": "请设置环境变量 VOLCENGINE_AK 和 VOLCENGINE_SK"
  }
}

文件夹结构

output/
└── <md5(prompt)>/           # md5哈希作为文件夹名
    ├── param.json           # 请求参数
    ├── response.json        # API提交响应
    ├── taskId.txt           # 任务ID
    └── 1.jpg, 2.jpg, ...    # 生成的图片

示例

生成风景画

npx ts-node scripts/text2image.ts "山水风景画，水墨风格" --version v40 --ratio 16:9

生成科幻城市

npx ts-node scripts/text2image.ts "未来科幻城市，霓虹灯光，赛博朋克风格" --version v40 --ratio 16:9 --count 2

指定尺寸生成

npx ts-node scripts/text2image.ts "抽象艺术" --width 2048 --height 1152

自定义输出目录

npx ts-node scripts/text2image.ts "一只可爱的猫咪" --output ~/Pictures/jimeng

版本说明

  • v30: 即梦3.0 基础版本
  • v31: 即梦3.1 改进版本
  • v40: 即梦4.0 最新版本（推荐）

文生视频使用方法

基础用法

npx ts-node scripts/text2video.ts "一只可爱的猫咪在草地上奔跑"

完整参数

npx ts-node scripts/text2video.ts "提示词" \
  --ratio 9:16 \
  --duration 5 \
  --fps 24

参数说明

| 参数 | 说明 | 默认值 | |------|------|--------| | prompt | 视频生成提示词（必填） | - | | --ratio | 宽高比: 16:9, 4:3, 1:1, 3:4, 9:16, 21:9 | 9:16 | | --duration | 视频时长: 5 或 10 秒 | 5 | | --fps | 帧率: 24 或 30 | 24 | | --output | 视频输出目录 | ./output | | --wait | 等待任务完成 | false | | --debug | 调试模式 | false | | --no-download | 不下载视频，只返回URL | false |

视频输出格式

任务已提交

{
  "success": true,
  "submitted": true,
  "prompt": "元宵节灯笼",
  "ratio": "9:16",
  "duration": 5,
  "fps": 24,
  "taskId": "1234567890",
  "folder": "./output/video/<md5_hash>",
  "message": "任务已提交，请稍后使用相同提示词查询结果"
}

任务已完成

{
  "success": true,
  "prompt": "元宵节灯笼",
  "ratio": "9:16",
  "duration": 5,
  "fps": 24,
  "taskId": "1234567890",
  "videoUrl": "https://...",
  "data": {}
}

任务未完成

{
  "success": true,
  "pending": true,
  "prompt": "元宵节灯笼",
  "ratio": "9:16",
  "duration": 5,
  "fps": 24,
  "taskId": "1234567890",
  "status": "in_queue",
  "message": "任务处理中，请稍后使用相同提示词查询结果"
}

视频文件夹结构

output/video/
└── <md5(prompt)>/           # md5哈希作为文件夹名
    ├── param.json           # 请求参数
    ├── response.json        # API提交响应
    ├── taskId.txt           # 任务ID
    └── video.mp4            # 生成的视频

参考文档

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/contract"
curl -s "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

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://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T03:42:17.763Z"
    }
  },
  "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": "Maoshuorz",
    "href": "https://github.com/maoshuorz/jimeng-ai-skill",
    "sourceUrl": "https://github.com/maoshuorz/jimeng-ai-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-01T06:05:56.849Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-03-01T06:05:56.849Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/maoshuorz/jimeng-ai-skill",
    "sourceUrl": "https://github.com/maoshuorz/jimeng-ai-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-01T06:05:56.849Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/maoshuorz-jimeng-ai-skill/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
  }
]

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