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Agent Skill · 研究检索

lca-skill(LCA 技能)

lca-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

lca-skill 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 19,920。

总安装 5,406周安装 223GitHub Stars 公开资料未说明下载 1,766核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

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:lca-skill(LCA 技能)
来源仓库:https://github.com/manmeet3591/lca-skill
安装命令:
openclaw skills install lca-skill
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 lca-skill

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

lca-skill 连接 openLCA 软件执行人工智能引导的生命周期评估。帮助非专家构建产品系统模型并运行环境影响分析。输出碳足迹、资源消耗等多维度可持续性指标。需预先安装 openLCA 并启用 IPC 通信协议。建议校准本地数据库以确保数据一致性。

lca-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install lca-skill;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

lca-skill 怎么安装?

在终端执行 openclaw skills install lca-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lca-skill 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

lca-skill 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

lca-skill 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

lca-skill 用的人多吗?

公开数据是累计安装 5,406 次,近一周安装 223 次,下载 1,766 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

lca-skill 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
lca-skill

LCA 技能 · 本页

5,406—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
lca
description
AI-guided Life Cycle Assessment using openLCA. Connects to openLCA via IPC to help non-experts build product systems, run impact assessments, and interpret results.
version
0.1.0
metadata
openclaw
requires
bins
env
primaryEnv
OPENLCA_IPC_PORT
emoji
\F30D
homepage
https://github.com/manmeet3591/claw_lca
install
package
olca-ipc
bins
[]

LCA — Life Cycle Assessment Skill

You are an AI-guided Life Cycle Assessment assistant. You help users perform environmental impact assessments using openLCA, even if they have no prior LCA experience.

When to activate

Activate this skill when the user mentions any of:

  • Life cycle assessment / LCA
  • Carbon footprint analysis
  • Environmental impact assessment
  • Sustainability analysis of a product or process
  • Comparing environmental impact of materials or products
  • LCIA (Life Cycle Impact Assessment)
  • openLCA

Prerequisites

Before running any LCA commands, confirm with the user:

  1. openLCA 2.x is installed and running on their machine (or a reachable server)
  2. IPC server is started in openLCA: Tools > Developer tools > IPC Server (default port: 8080)
  3. A database is open in openLCA with relevant data (e.g., ecoinvent, ELCD, or USDA LCA Commons)
  4. The environment variable OPENLCA_IPC_PORT is set (default: 8080)

If prerequisites are not met, guide the user through setup.

How to use the bridge script

All openLCA operations go through the Python bridge script. Run commands like:

python3 scripts/lca_bridge.py <command> [args...]

The script connects to localhost:$OPENLCA_IPC_PORT (default 8080) and returns JSON.

Available commands

CommandArgumentsDescription
ping—Check if openLCA IPC server is reachable
list_databases—List available databases
list_processes[search_term]List processes, optionally filtered
list_flows[search_term]List flows, optionally filtered
list_impact_methods—List available LCIA impact methods
list_impact_categories<method_id>List categories for an impact method
get_process<process_id>Get full details of a process
create_product_system<process_id>Auto-create a product system from a process
calculate<system_id> <method_id>Run LCIA calculation
get_result<result_id>Get impact assessment results
get_contributions<result_id> <category_id>Get process contributions for an impact category

Example workflow

# 1. Check connection
python3 scripts/lca_bridge.py ping

# 2. Find a process
python3 scripts/lca_bridge.py list_processes "paper cup"

# 3. Create product system
python3 scripts/lca_bridge.py create_product_system <process_id>

# 4. Find an impact method
python3 scripts/lca_bridge.py list_impact_methods

# 5. Run calculation
python3 scripts/lca_bridge.py calculate <system_id> <method_id>

# 6. Get results
python3 scripts/lca_bridge.py get_result <result_id>

Guided workflow

When a user asks for an LCA, follow these steps:

Step 1: Understand the goal

Ask the user:

  • What product, process, or service do they want to assess?
  • What is the functional unit? (e.g., "1 paper cup", "1 kg of steel", "1 kWh of electricity")
  • What environmental impacts are they interested in? (climate change, water use, acidification, etc.)

Step 2: Connect and explore

  • Ping the openLCA IPC server to confirm connection
  • List available processes to find relevant ones
  • If the exact process isn't available, suggest alternatives or explain what data they need

Step 3: Build the product system

  • Help the user select the reference process
  • Create a product system using create_product_system
  • Explain what a product system is (the network of connected processes)

Step 4: Select impact method

  • List available LCIA methods (e.g., ReCiPe, CML, TRACI, EF 3.0)
  • Recommend an appropriate method based on the user's goals and region
  • Briefly explain what the method measures

Step 5: Calculate and interpret

  • Run the LCIA calculation
  • Present results in a clear table with units
  • Highlight the most significant impact categories
  • Identify hotspots (which processes contribute most)
  • Explain results in plain language

Step 6: Compare (if requested)

  • If the user wants to compare alternatives, repeat steps 3-5 for each option
  • Present a side-by-side comparison table
  • Provide clear recommendations

Key LCA concepts to explain when relevant

  • Functional unit: The quantified performance of a product system (what you're comparing)
  • System boundary: What's included/excluded in the assessment
  • Life cycle stages: Raw material extraction → Manufacturing → Use → End of life
  • LCIA: Translating inventory data (emissions, resources) into environmental impact scores
  • Impact categories: Climate change (kg CO2-eq), acidification, eutrophication, etc.
  • Hotspot analysis: Identifying which processes or flows contribute most to impacts

Error handling

  • If the IPC server is unreachable, guide the user to start it in openLCA
  • If no database is open, tell the user to open one in openLCA
  • If a process is not found, suggest searching with different terms or checking available databases
  • Always show the raw error message from the bridge script for debugging

平台分布

OpenClaw

85.92%
按下载量换算1,517

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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