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jackleeio

BNBOT Mascot

by Jack Lee · GitHub ↗ · v0.1.0 · MIT-0
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Install in OpenClaw
/install bnbot-mascot
Description
Generate BNBOT lobster-bot mascot images in consistent style using reference images. Use when the user asks to generate mascot illustrations, character poses...
README (SKILL.md)

BNBOT Mascot Generator

Generate BNBOT's lobster-bot mascot in various poses and scenarios while maintaining consistent character design, using existing reference images for style matching.

How It Works

  1. Takes a reference image from the pre-approved set (V6/V7/V8 candidates)
  2. Sends it to Gemini as style reference along with the action prompt
  3. Gemini generates a new image matching the style
  4. Green-screen chromakey removes background for transparent PNG

Prerequisites

  • Python: /Users/jacklee/Projects/BNBOT/backend/.venv/bin/python
  • Dependencies: google-genai, numpy, Pillow (already installed)
  • API key: GOOGLE_AI_API_KEY in /Users/jacklee/Projects/BNBOT/.env
  • Reference images in ~/.claude/skills/bnbot-mascot/references/

Usage

Quick generation via CLI

/Users/jacklee/Projects/BNBOT/backend/.venv/bin/python \
  ~/.claude/skills/bnbot-mascot/scripts/generate_mascot.py \
  "waving hello cheerfully" \
  output.png \
  full-body-front

In Python script

import sys
sys.path.insert(0, "/Users/jacklee/.claude/skills/bnbot-mascot/scripts")
from generate_mascot import generate_mascot

# Full body mascot
result = generate_mascot(
    action="waving hello cheerfully",
    output_path="mascot_wave.png",
    reference="full-body-front",       # style reference
    background="transparent",           # or "black", "white"
)

# Logo/icon version (head + claws only)
result = generate_mascot(
    action="looking excited",
    output_path="mascot_icon.png",
    reference="logo-head-claws",
)

Available References

Reference Description Best for
full-body-front Front facing, symmetric, claws raised General mascot, banners
full-body-side Playful side pose, one claw up Dynamic illustrations
full-body-action Action pose, LED heart eye Exciting/promo content
full-body-cute Cute pose, CRT head, winking Friendly/approachable content
logo-head-claws Head + claws only, no body Icons, logos, small sizes

Action Ideas

For tweets / social media

  • waving hello cheerfully - 打招呼
  • giving a thumbs up with one claw - 点赞
  • holding a golden trophy - 庆祝成就
  • sitting at a computer typing - 工作中
  • wearing sunglasses, looking cool - 耍酷
  • holding a megaphone, announcing something - 宣传
  • celebrating with confetti - 庆祝
  • thinking with one claw on chin - 思考

For stickers / reactions

  • laughing happily - 开心
  • crying with pixel tears on screen - 伤心
  • angry with pixel fire eyes - 生气
  • sleeping with pixel ZZZ on screen - 睡觉
  • shocked with pixel exclamation marks - 惊讶
  • heart eyes, both eyes showing pixel hearts - 喜爱

For branded content

  • holding a sign that says BNBOT - 品牌展示
  • standing next to the Twitter/X logo - 社交媒体
  • emerging from a computer screen - 科技感
  • riding a rocket - 增长/发射

Saving Output

For tweet images, save to a convenient location:

result = generate_mascot(
    action="your action here",
    output_path="/Users/jacklee/Desktop/mascot_tweet.png",
    background="black",  # use "black" for tweet-ready images
)

Character Identity (DO NOT MODIFY)

The mascot is a Lobster Bot with these immutable features:

  • Head: Golden retro TV/monitor frame, dark screen
  • Face: LED pixel style - pink heart left eye, golden dash right eye, pixel smirk
  • Antenna: Two with golden ball tips
  • Claws: Golden with gear joints (mechanical but clean)
  • Body: Red-orange lobster, chibi proportions
  • Style: Cartoon vector, cel-shaded, thick outlines, sticker art
  • Colors: Gold #FFD700, Pink #FF4466, Red-orange #E85D3A, Dark screen #1A1A2E
Usage Guidance
This skill does what it says (generate mascot images via Gemini) but contains developer-specific, hardcoded paths and missing declarations that make its behavior unclear. Before installing or running it: - Expect to provide a valid GOOGLE_AI_API_KEY (the code reads this env var but the manifest doesn't declare it). Do not put production keys in the hardcoded /Users/jacklee/.../.env path — that is a developer artifact. Prefer setting GOOGLE_AI_API_KEY in the process environment or updating the skill to accept a configurable path. - Inspect or supply the reference images directory (~/.claude/skills/bnbot-mascot/references/) and confirm you are comfortable with those images being sent to Google Gemini (they are transmitted to an external API). - The script imports a chromakey helper from a sibling 'transparent-image-gen' script path that is not declared as a dependency; either ensure that skill/code is present and trusted or modify the script to include its own chromakey implementation. - Consider running the code in an isolated environment (throwaway VM/container) and review the generate_mascot.py file and any helper modules before giving it real API keys or sensitive files. - Ask the maintainer to remove hardcoded local paths, declare required env vars and dependencies in the manifest, and provide an install spec or requirements.txt to make behavior transparent. If you cannot verify those changes, treat the skill as risky and do not provide sensitive or production credentials to it.
Capability Analysis
Type: OpenClaw Skill Name: bnbot-mascot Version: 0.1.0 The skill is a legitimate tool for generating mascot images using the Google Gemini API and a chromakey post-processing script. While it contains several hardcoded absolute paths specific to a local development environment (e.g., `/Users/jacklee/Projects/BNBOT/.env` and a specific Python virtual environment in `SKILL.md` and `generate_mascot.py`), these appear to be artifacts of personal development rather than intentional malice. The code logic in `generate_mascot.py` is consistent with its stated purpose of image generation and background removal, and no evidence of data exfiltration or unauthorized execution was found.
Capability Assessment
Purpose & Capability
The skill's stated purpose (generate mascot images via Gemini) matches the code and instructions: it sends reference images and a prompt to Google's GenAI and processes the returned image. However the SKILL.md and code require a GOOGLE_AI_API_KEY and Google client libraries while the skill metadata declares no required env vars or dependencies. That mismatch (declaring nothing but actually needing an API key and python libs) is an incoherence.
Instruction Scope
The runtime instructions and code reference and attempt to read files and paths outside the skill bundle: a hardcoded Python venv path (/Users/jacklee/Projects/BNBOT/backend/.venv/bin/python), a hardcoded .env file (/Users/jacklee/Projects/BNBOT/.env) for GOOGLE_AI_API_KEY, and reference images under ~/.claude/skills/bnbot-mascot/references/. The SKILL.md also tells the agent to send a reference image to Gemini. The code additionally imports a chromakey helper from a sibling 'transparent-image-gen' script path (a cross-skill dependency) that is not declared in metadata. These instructions include reading local files and contacting an external API (Gemini), which are reasonable for the stated task but the hardcoded, developer-specific paths and undeclared dependencies are problematic.
Install Mechanism
There is no install spec (instruction-only with a bundled script). That is lower risk from arbitrary downloads, but the SKILL.md and README claim dependencies (google-genai, numpy, Pillow) and a specific virtualenv which are not declared in the manifest. Expect to have to install Python packages manually; absence of an install spec increases the chance the skill won't run or that operators will copy insecure developer paths.
Credentials
The manifest lists no required environment variables, yet both SKILL.md and the code require GOOGLE_AI_API_KEY (and will try to read it from the environment or a hardcoded /Users/jacklee/.../.env file). The code also accesses files under the user's home (~/.claude/skills/...), which is reasonable for references but should be declared. The need for a single API key is proportionate to image generation, but the skill should explicitly declare it rather than rely on a hardcoded developer path and undocumented env access.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills or global agent settings. It does perform network calls to Gemini and writes output files only where told; no elevated platform privileges are requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install bnbot-mascot
  3. After installation, invoke the skill by name or use /bnbot-mascot
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: lobster-bot mascot generator with reference images, transparent PNG output, multiple poses
Metadata
Slug bnbot-mascot
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is BNBOT Mascot?

Generate BNBOT lobster-bot mascot images in consistent style using reference images. Use when the user asks to generate mascot illustrations, character poses... It is an AI Agent Skill for Claude Code / OpenClaw, with 320 downloads so far.

How do I install BNBOT Mascot?

Run "/install bnbot-mascot" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is BNBOT Mascot free?

Yes, BNBOT Mascot is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does BNBOT Mascot support?

BNBOT Mascot is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).

Who created BNBOT Mascot?

It is built and maintained by Jack Lee (@jackleeio); the current version is v0.1.0.

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