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在 OpenClaw 中安装
/install sticker-cog
功能描述
AI sticker pack generation powered by CellCog. Custom stickers, emoji sets, WhatsApp stickers, Telegram stickers, Discord emoji, Slack reactions. Character-c...
安全使用建议
This skill appears to do what it says: it calls CellCog to generate sticker packs and needs your CELLCOG_API_KEY and Python/SDK support. Before installing: 1) Be aware that any photos or prompts you provide will be sent to CellCog's servers — avoid uploading sensitive personal or confidential images. 2) Confirm you trust CellCog's privacy and data retention policies (see https://cellcog.ai). 3) The SKILL.md names a 'cellcog' dependency but gives no install steps; ensure your environment provides that SDK (or be prepared to let the agent/pip install it). 4) If you prefer tighter control, do not provide the CELLCOG_API_KEY to the agent or restrict when the skill may be invoked. If you want more certainty about runtime behavior, request the full SKILL.md/SDK reference or an install spec from the publisher.
功能分析
Type: OpenClaw Skill
Name: sticker-cog
Version: 1.0.5
The sticker-cog skill bundle is a documentation-heavy resource providing instructions for an AI agent to generate consistent sticker packs using the 'cellcog' library. It contains no executable code, obfuscation, or malicious instructions, focusing entirely on legitimate use cases like character consistency, platform-specific formatting (WhatsApp, Telegram, etc.), and prompt engineering. The metadata and setup instructions (SKILL.md) are standard for OpenClaw skills and align with the stated purpose.
能力标签
能力评估
Purpose & Capability
Name/description match the observed requirements: python3 and a CELLCOG_API_KEY are reasonable for a CellCog SDK-based sticker generator. The SKILL.md declares a dependency on a 'cellcog' package but provides no install spec (no pip/installer instructions), which is a minor mismatch — the skill assumes the runtime has the SDK available.
Instruction Scope
The instructions focus on calling the CellCog service via its SDK. They explicitly reference uploading user photos and generating/storing platform-ready assets, which means user images and prompts will be transmitted to CellCog's servers. The instructions do not appear to read unrelated system files or request unrelated environment variables, but they do point agents to another 'cellcog' skill for full SDK reference.
Install Mechanism
No install spec is present (instruction-only), so nothing is written to disk by the skill itself — this is low risk. The only minor issue is the SKILL.md's declared dependency ('cellcog') with no guidance for installing it; the runtime must already provide that SDK or the agent will need to install it.
Credentials
Only a single environment variable (CELLCOG_API_KEY) is required, which is proportional to a cloud API-based image generation service. No unrelated credentials or broad filesystem/config path access are requested.
Persistence & Privilege
The skill is not set always:true and uses normal agent invocation. It does not request persistent system-wide privileges in the manifest. Autonomous invocation is allowed (platform default) but is not combined with other high-risk flags here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install sticker-cog - 安装完成后，直接呼叫该 Skill 的名称或使用
/sticker-cog触发 - 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
v1.0.5
- Shortened and clarified the skill description for readability.
- Updated usage instructions: made the distinction between OpenClaw and other agents clearer.
- No changes to code or features; documentation only.
- Retained all examples, use cases, and style guides with minor formatting improvements.
v1.0.4
**Expanded platform support and usage documentation**
- Updated the description to emphasize AI-powered sticker and emoji generation, broader platform support, and batch generation.
- Revised usage instructions with an explicit `from cellcog import CellCogClient` example for integration clarity.
- Description, feature list, and prompt examples now cover custom stickers, emoji sets, and platform-ready packaging for WhatsApp, Telegram, Discord, Slack, and pets/mascots.
- No code changes; documentation only.
v1.0.3
- README (SKILL.md) simplified and streamlined for clarity and faster reference.
- Description reduced for brevity; still highlights key features: CellCog-powered, platform-ready sticker packs, consistent characters, transparent backgrounds.
- Usage and prerequisites condensed, with prominent direction to the main cellcog skill for full SDK/API details.
- Retains detailed prompt examples, style tables, and common use cases for various sticker/emoji packs.
- Removed lengthy introductory/duplicative material for improved readability. No code or API changes.
v1.0.2
- Documentation updated in SKILL.md; content unchanged otherwise.
- No feature, performance, or bug fixes in this release.
v1.0.1
Version 1.0.1 of sticker-cog – improved documentation and clarity
- SKILL.md significantly expanded and rewritten for greater clarity on what makes sticker-cog unique.
- Stronger emphasis on character/brand consistency across all generated stickers.
- More example prompts and detailed prompt templates for WhatsApp, Telegram, Slack, Discord, and iMessage sticker/emoji sets.
- Clearer explanation of typical use cases: mascot packs, team emoji, pet/self-portrait stickers, professional reactions.
- Added tables comparing style options, difficulty in sticker pack creation, and output recommendations for each platform.
- No changes to functionality or code; documentation only.
v1.0.0
- Initial release of sticker-cog skill.
- Generate character-consistent sticker packs and custom emoji sets with transparent backgrounds.
- Supports batch creation and outputs in PNG, WebP, or SVG for WhatsApp, Telegram, Discord, Slack, and more.
- Offers a variety of art styles, including kawaii, cartoon, pixel art, anime, and more.
- Includes platform-specific packaging and size guidelines.
- Requires the cellcog skill for setup and API access.
元数据
常见问题
Sticker Cog 是什么？
AI sticker pack generation powered by CellCog. Custom stickers, emoji sets, WhatsApp stickers, Telegram stickers, Discord emoji, Slack reactions. Character-c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 207 次。
如何安装 Sticker Cog？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sticker-cog」即可一键安装，无需额外配置。
Sticker Cog 是免费的吗？
是的，Sticker Cog 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Sticker Cog 支持哪些平台？
Sticker Cog 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, windows）。
谁开发了 Sticker Cog？
由 CellCog（@nitishgargiitd）开发并维护，当前版本 v1.0.5。
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