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linmillsd7

Avatar Icon Generator

作者 linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
90
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install avatar-icon-generator
功能描述
Skip the learning curve of professional editing software. Describe what you want — generate a circular avatar icon from my photo for a profile picture — and...
使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your photos or text here or describe what you want to make.

Try saying:

  • "generate a front-facing portrait photo into a 1080p MP4"
  • "generate a circular avatar icon from my photo for a profile picture"
  • "creating profile avatar icons from photos for content creators, social media users, marketers"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Avatar Icon Generator — Create Profile Avatar Icons Instantly

This tool takes your photos or text and runs AI avatar generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a front-facing portrait photo and want to generate a circular avatar icon from my photo for a profile picture — the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

Tip: clear front-facing photos with good lighting produce the most accurate avatars.

Matching Input to Actions

User prompts referencing avatar icon generator, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is avatar-icon-generator, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

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.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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

Common Workflows

Quick edit: Upload → "generate a circular avatar icon from my photo for a profile picture" → Download MP4. Takes 20-40 seconds 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 "generate a circular avatar icon from my photo for a profile picture" — concrete instructions get better results.

Max file size is 200MB. Stick to JPG, PNG, WEBP, MP4 for the smoothest experience.

Export as MP4 for widest compatibility.

安全使用建议
This skill appears to implement a legitimate avatar/video rendering workflow against nemovideo.ai and only asks for a single service token (NEMO_TOKEN), which is appropriate. However: 1) do not provide long-lived or high-privilege credentials unless you trust the publisher — prefer a scoped or temporary token. 2) Ask the publisher why the SKILL.md includes a config path while the registry metadata did not; inconsistencies may indicate sloppy packaging or deliberate hiding. 3) The SKILL.md contains unicode control characters (hidden characters) — request the full, plain-text SKILL.md and inspect for hidden or obfuscated instructions before installing. 4) Because the skill can acquire anonymous tokens and will call external network endpoints, consider testing it in a restricted/sandboxed environment and monitor outbound network traffic and what files it reads. 5) If you plan to use sensitive images, verify the service's privacy policy and where generated media/download URLs are stored or shared.
功能分析
Type: OpenClaw Skill Name: avatar-icon-generator Version: 1.0.0 The skill is a functional integration for an AI avatar generation service hosted at nemovideo.ai. It follows standard patterns for API interaction, including session management, file uploads, and handling server-sent events (SSE) for processing. While it accesses a specific environment variable (NEMO_TOKEN) and a configuration directory (~/.config/nemovideo/), these are clearly aligned with its stated purpose of authenticating with the backend service, and no evidence of malicious data exfiltration or unauthorized execution was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name, description, and runtime instructions consistently describe a cloud avatar/video rendering pipeline that uses a NEMO_TOKEN and the nemovideo.ai API. Requiring a NEMO_TOKEN is proportionate. Small inconsistency: registry-level requirements listed no config paths, but the SKILL.md metadata declares a config path (~/.config/nemovideo/). This mismatch should be explained by the publisher.
Instruction Scope
SKILL.md confines actions to the nemovideo.ai API (session creation, uploads, SSE, render/start endpoints). It also instructs generating anonymous tokens when no NEMO_TOKEN is present and to detect an install path to set an attribution header. The install-path detection implies the agent might inspect environment or filesystem paths to choose X-Skill-Platform — this is not strictly necessary for functionality and broadens scope.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk (nothing is written to disk by an installer).
Credentials
Only NEMO_TOKEN (primary credential) is required, which is expected for this API. However, the skill also instructs obtaining an anonymous token via the API when NEMO_TOKEN is missing, which is reasonable but means the skill will perform network auth flows. The earlier-mentioned metadata vs registry mismatch about configPaths is another small proportionality oddity.
Persistence & Privilege
No elevated privileges requested; always is false and the skill does not request to modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not by itself a problem.
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 avatar-icon-generator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /avatar-icon-generator 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
Avatar Icon Generator — Version 1.0.0 - Initial release: Instantly generate animated circular avatar icons from your photos or text for profile pictures. - Supports JPG, PNG, WEBP, MP4 file uploads up to 200MB, with automatic AI processing. - Simple onboarding: connect automatically with a free token if none is set. - Exports avatars as 1080p MP4 files in 20–40 seconds. - Features easy commands for editing, status checks, credits, and exporting. - Ideal for content creators, social media users, and marketers needing fast, custom avatars without graphic design software.
元数据
Slug avatar-icon-generator
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

Avatar Icon Generator 是什么?

Skip the learning curve of professional editing software. Describe what you want — generate a circular avatar icon from my photo for a profile picture — and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。

如何安装 Avatar Icon Generator?

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

Avatar Icon Generator 是免费的吗?

是的,Avatar Icon Generator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Avatar Icon Generator 支持哪些平台?

Avatar Icon Generator 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 Avatar Icon Generator?

由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。

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