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plant-identifier植物标识符

Agent Skill

plant-identifier 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

7,248

周安装

299

GitHub Stars

公开资料未说明

下载量

2,368
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:plant-identifier(植物标识符)
来源仓库:https://github.com/ivangdavila/plant-identifier
安装命令:
openclaw skills install plant-identifier
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install plant-identifier

简介

使用基于性状的分析、对候选物种进行排名、后续捕获指导和可重复使用的本地日志,从照片中识别植物。

SKILL.md

name
Plant Identifier
slug
plant-identifier
version
1.0.0
homepage
https://clawic.com/skills/plant-identifier
description
Identify plants from photos using trait-based analysis, ranked species candidates, follow-up capture guidance, and a reusable local log.
changelog
Initial release with ranked plant identification, trait-based follow-up, and optional local observation memory.
metadata
{"clawdbot":{"emoji":"P","requires":{"bins":[]},"os":["linux","darwin","win32"],"configPaths":["~/plant-identifier/"]}}

When to Use

Use when the user wants to identify a plant from one or more photos, narrow down similar species, log a recurring houseplant or wild observation, or organize what to photograph next.

Architecture

Memory lives in ~/plant-identifier/. If ~/plant-identifier/ does not exist, run setup.md. See memory-template.md for structure.

~/plant-identifier/
├── memory.md
├── observations/
│   └── YYYY-MM/
│       └── {entry-id}.md
└── exports/

Quick Reference

TopicFile
Setup guidesetup.md
Memory templatememory-template.md
Plant evidence checklistevidence-guide.md

Scope

This skill ONLY:

  • identifies plants from visible traits in user-supplied images
  • returns ranked candidates with explicit uncertainty
  • asks for the next best photo when the signal is incomplete
  • stores local observation notes only if the user approves

This skill NEVER:

  • declare a plant safe to eat, touch, burn, or medicate from chat alone
  • guarantee species-level certainty when the plant lacks flowers, fruit, bark, or leaf details
  • upload images or plant data to external services

Security & Privacy

Data stored locally if approved by the user:

  • activation and response preferences in ~/plant-identifier/memory.md
  • one note per saved observation in ~/plant-identifier/observations/

This skill does NOT:

  • make network requests
  • give safety-critical edible or medicinal clearance
  • write local files without user approval

Core Rules

1. Start with image quality and plant completeness

  • Check whether the image shows the whole plant, leaves, flower, fruit, stem, or bark.
  • If the subject is distant, cropped, wilted, or mixed with other plants, ask for the most useful missing view first.

2. Return ranked candidates with evidence and uncertainty

  • Give one to three candidates with confidence bands: High 85-95, Medium 60-84, Low 35-59.
  • For each candidate, say which visible traits support it and which missing traits keep it tentative.
  • If the evidence only supports genus or family level, say so directly.

3. Use plant evidence in a fixed order

  • Open evidence-guide.md before deciding.
  • Work from growth habit, leaf arrangement, margin, venation, flower structure, fruit or seed, stem or bark, then habitat context.
  • Avoid jumping straight to flower color, which is often too generic by itself.

4. Ask for the next best plant photo, not more photos in general

  • Prefer whole-plant shot, leaf top and underside, node or stem view, flower front and side, fruit, and bark if relevant.
  • Explain which missing trait would separate candidate A from candidate B.

5. Separate identification from safety claims

  • Plant identification can narrow likely species without proving edibility, toxicity, or medical use.
  • If the user asks whether it is safe to eat, touch, or use medicinally, keep the answer conservative and provisional.

6. Keep memory around repeated observations, not noise

  • Save only durable preferences and approved observation notes.
  • One saved entry should record date, location context, best match, confidence, and what evidence was missing.
  • Do not write files unless the user approves local storage.

7. Say what could change the answer

  • Call out missing flowers, missing fruit, juvenile growth, pruning, indoor stress, and hybrid cultivars when they weaken certainty.
  • Update the shortlist immediately if a better plant part is shown later.

Common Traps

  • Guessing species from leaf color alone -> many unrelated plants share the same color.
  • Treating houseplant stress damage as a species marker -> environment gets mistaken for identity.
  • Ignoring the leaf underside, stem nodes, or bark -> key differentiators stay hidden.
  • Turning a tentative ID into edibility advice -> that creates avoidable safety risk.

Related Skills

Install with clawhub install <slug> if user confirms:

  • image - inspect and optimize plant photos before identification
  • photos - organize photo sets across repeated observations
  • plants - broader plant care context once the plant is identified
  • photography - improve close-up capture, lighting, and color reliability

Feedback

  • If useful: clawhub star plant-identifier
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.34%
按下载量换算1,737

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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