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Skill Plant Care
作者
Phal studio
· GitHub ↗
· v1.0.0
· MIT-0
88
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install skill-plant-care
功能描述
Identify plants from photos and provide detailed care guidance including environmental suitability, watering, lighting, soil, temperature, fertilization, and...
安全使用建议
This skill appears coherent and does not request secrets or installs. Before installing: (1) confirm your agent/platform supports image input or that you want the agent to call an external vision service (the SKILL.md is vague about which tool to use); (2) review the included troubleshooting and pesticide recommendations—some chemical treatments are suggested and may require professional advice or compliance with local regulations; (3) remember it is instruction-only so behavior is determined at runtime by the agent and platform capabilities (no hidden code to inspect); and (4) if you allow autonomous invocation, be comfortable that the skill can be triggered by the agent using the platform's normal tooling, but it does not gain extra system privileges.
功能分析
Type: OpenClaw Skill
Name: skill-plant-care
Version: 1.0.0
The skill bundle is a legitimate plant identification and care assistant. It contains comprehensive documentation and instructions (SKILL.md, README.md) and extensive reference databases (plant_database_extended.md, troubleshooting.md) for gardening advice. There are no executable scripts, suspicious network calls, or malicious prompt injections. The AIGC metadata blocks contain standard cryptographic signatures (e.g., in SKILL.md) likely used for content provenance by the MiniMax AI platform, and do not contain hidden payloads.
能力评估
Purpose & Capability
The name/description (plant identification and care) match the SKILL.md and the included plant databases and troubleshooting references; nothing requested (no env vars, no binaries, no install) is disproportionate to that purpose.
Instruction Scope
Instructions stay within plant-identification and care: asking for photos, environment details, and providing diagnosis/care steps. One minor ambiguity: the SKILL.md tells the agent to "use image recognition tools" but does not name a specific tool or endpoint, so the skill relies on the host platform's vision capability or on the agent choosing an external tool.
Install Mechanism
No install spec and no code files are present (instruction-only), so nothing is written to disk or downloaded during install — lowest-risk model for installation behavior.
Credentials
The skill requires no environment variables, credentials, or config paths. The instructions do not request access to unrelated secrets or system files.
Persistence & Privilege
always is false and the skill does not request system-wide persistence or modification of other skills; autonomous invocation is allowed (platform default) but not combined with other elevated privileges.
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 skill-plant-care - 安装完成后，直接呼叫该 Skill 的名称或使用
/skill-plant-care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
v1.0.0
- Initial release of the Plant Identification and Care Expert skill.
- Enables users to identify plant species from photos and receive care recommendations.
- Provides scientific, detailed care guides covering light, watering, soil, temperature, and fertilization.
- Assesses care difficulty and environmental suitability for specific plants.
- Offers troubleshooting for common plant issues, with solutions for symptoms like yellowing leaves and wilting.
元数据
常见问题
Skill Plant Care 是什么？
Identify plants from photos and provide detailed care guidance including environmental suitability, watering, lighting, soil, temperature, fertilization, and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 88 次。
如何安装 Skill Plant Care？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install skill-plant-care」即可一键安装，无需额外配置。
Skill Plant Care 是免费的吗？
是的，Skill Plant Care 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Skill Plant Care 支持哪些平台？
Skill Plant Care 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 Skill Plant Care？
由 Phal studio（@slamw）开发并维护，当前版本 v1.0.0。
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