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lobster-farmer-feeder

Feed lobsters in the Lobster Farmer game by calling the local CLI command `lobster-farmer feed` with `--model`, `--input-tokens`, `--output-tokens`, and optional `--emotion`. Use this skill when the user asks to feed a lobster, simulate model usage, batch-feed multiple models, or update growth state and emotion through the running local service.

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 0.1.2
安全检测
已通过
364
下载量
免费
免费
0
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概述
安装方式
版本历史

lobster-farmer-feeder

# Lobster Farmer Feeder Feed model-specific lobsters by invoking the local CLI and report the resulting growth metrics. ## Workflow 1. Confirm command context. - Run from the Lobster Farmer project root where `bin/lobster-farmer.cjs` exists. - Prefer the installed command `lobster-farmer`; use `node ./bin/lobster-farmer.cjs` as fallback. 2. Ensure service is reachable. - Check status first: ```bash lobster-farmer status ``` - If stopped, start service: ```bash lobster-farmer start ``` - Respect explicit user port preference with `--port`. 3. Execute feed command. - Single feed: ```bash lobster-farmer feed --model "<model>" --input-tokens <n> --output-tokens <m> [--emotion "<text>"] [--port <p>] ``` - Short flags: ```bash lobster-farmer feed -m "<model>" -i <n> -o <m> [-e "<text>"] -p <p> ``` 4. Return result to user. - Include model name, input/output token values, emotion, lobster total tokens, feed count, and size. - If requested, run multiple feed commands sequentially and summarize each result. ## Parameter Rules - Require `model` as non-empty string. - Require `input_tokens + output_tokens > 0`. - `emotion` is optional; if omitted, UI should show `?`. - Keep token values as integers and non-negative. - If user gives only a single total token value, default to: `input_tokens = total`, `output_tokens = 0`, unless user specifies another split. ## Error Handling - `feed request failed: fetch failed`: Service is not running or port is wrong. Start server and retry. - API validation errors: Relay backend message directly (for example invalid token values). - Port mismatch: Retry with explicit `--port` matching the running service. ## Quick Examples - Feed one lobster: ```bash lobster-farmer feed --model gpt-4.1 --input-tokens 800 --output-tokens 400 ``` - Feed with emotion: ```bash lobster-farmer feed --model gpt-4.1 --input-tokens 800 --output-tokens 400 --emotion "focused" ``` - Feed different models: ```bash lobster-farmer feed --model claude-3.7 --input-tokens 1200 --output-tokens 300 lobster-farmer feed --model qwen-max --input-tokens 600 --output-tokens 200 ```

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 lobster-farmer-feeder-1776281208 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 lobster-farmer-feeder-1776281208 技能

通过命令行安装

skillhub install lobster-farmer-feeder-1776281208

下载

⬇ 下载 lobster-farmer-feeder v0.1.2(免费)

文件大小: 2.04 KB | 发布时间: 2026-4-16 15:51

v0.1.2 最新 2026-4-16 15:51
- Added new optional emotion parameter to the feed command, allowing users to specify an emotion when feeding lobsters.
- Updated CLI usage examples and workflow to include the --emotion flag.
- Output now includes the emotion state for each feed action; if omitted, the UI shows '?'.
- Added agents/openai.yaml configuration file.

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