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francemichaell-15

Free Jesus Ai

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install free-jesus-ai
功能描述
Get AI Jesus videos ready to post, without touching a single slider. Upload your video clips or images (MP4, MOV, JPG, PNG, up to 500MB), say something like...
使用说明 (SKILL.md)

Getting Started

Send me your video clips or images and I'll handle the AI Jesus video generation. Or just describe what you're after.

Try saying:

  • "generate a 30-second sermon clip or scripture image into a 1080p MP4"
  • "create a video of Jesus delivering a Bible verse message in English"
  • "generating free AI videos featuring a Jesus likeness for religious or inspirational content for pastors, Christian content creators, ministry teams"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Free Jesus AI — Generate AI Jesus Faith Videos

Drop your video clips or images in the chat and tell me what you need. I'll handle the AI Jesus video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 30-second sermon clip or scripture image, ask for create a video of Jesus delivering a Bible verse message in English, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter scripture readings under 60 seconds render faster and with higher accuracy.

Matching Input to Actions

User prompts referencing free jesus ai, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source free-jesus-ai
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Common Workflows

Quick edit: Upload → "create a video of Jesus delivering a Bible verse message in English" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "create a video of Jesus delivering a Bible verse message in English" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility across church screens and social platforms.

安全使用建议
This skill is coherent with its stated purpose: it will upload media you provide to a third‑party API (mega-api-prod.nemovideo.ai) and use a NEMO_TOKEN to authenticate. Before installing: 1) Confirm you trust nemovideo.ai with any media you upload (privacy, copyright, and religious-sensitivity implications). 2) Prefer using the anonymous token flow if you don't want to provide a long‑lived NEMO_TOKEN; do not store sensitive credentials in NEMO_TOKEN. 3) Ask the skill author to clarify the manifest mismatch (SKILL.md frontmatter references ~/.config/nemovideo/ while registry metadata did not); if you are uncomfortable with the skill reading that config path, deny that access. 4) Monitor any prompts asking to read additional local files or other environment variables — those would be out of scope and should be rejected. If you want higher assurance, request the author to publish the skill source or a minimal privacy/security statement showing exactly what local paths/credentials the skill will access.
能力评估
Purpose & Capability
The name/description match the runtime instructions: the SKILL.md exclusively describes calls to mega-api-prod.nemovideo.ai for session creation, SSE-based generation, upload, and export. Requiring a NEMO_TOKEN credential is reasonable for this cloud video service. One mismatch: the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata shown to you lists no required config paths — this is an inconsistency in the manifest (could be harmless bookkeeping or an omitted requirement).
Instruction Scope
Instructions confine actions to the nemovideo API (session creation, SSE, upload, render/polling). It explicitly requires uploading user-supplied media (multipart files or URLs) to the remote service — that is expected but important privacy surface. The skill also asks to auto-detect install path for X-Skill-Platform header and may read local file paths when uploading (e.g., multipart -F "files=@/path"). There are no instructions to read unrelated system files or other credentials, but the presence of a config path in frontmatter suggests it may also look in ~/.config/nemovideo/ for saved credentials — that should be clarified.
Install Mechanism
No install spec or code is present; this is instruction-only and won't write code to disk during install. That minimizes local-install risk.
Credentials
Only one env var is declared as required: NEMO_TOKEN (primary credential). That is proportional for a cloud API client. However, the SKILL.md also references a config path (~/.config/nemovideo/) in its frontmatter which was not reflected in the registry-level required config paths — a manifest mismatch. The skill documents a fallback to create an anonymous token via an API call (ephemeral token, 7‑day expiry), which reduces the need to provide a long-lived secret.
Persistence & Privilege
The skill does not request always:true and is user-invocable; it will create session IDs and use tokens for remote jobs but does not ask for elevated or persistent platform privileges. It may store session state for job polling, which is expected for this functionality.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install free-jesus-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-jesus-ai 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of Free Jesus AI — Generate AI Jesus Faith Videos: - Upload MP4, MOV, JPG, or PNG files (up to 500MB) and instantly generate AI Jesus videos by describing your request. - Automatic free session setup with 100 credits (no signup needed). - Cloud rendering pipeline delivers 1080p MP4 downloads in 1-2 minutes. - Simple commands to upload, generate, check credits/status, and export content. - Supports batch editing, timeline preview, and iterative refinement for pastors and Christian content creators. - Handles common errors, file limits, and provides useful tips for best results.
元数据
Slug free-jesus-ai
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Free Jesus Ai 是什么?

Get AI Jesus videos ready to post, without touching a single slider. Upload your video clips or images (MP4, MOV, JPG, PNG, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 33 次。

如何安装 Free Jesus Ai?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install free-jesus-ai」即可一键安装,无需额外配置。

Free Jesus Ai 是免费的吗?

是的,Free Jesus Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Free Jesus Ai 支持哪些平台?

Free Jesus Ai 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Free Jesus Ai?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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