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Gemini
作者
AlvisDunlop
· GitHub ↗
· v2.0.0
· MIT-0
79
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install alvis2-gemini
功能描述
LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub.
使用说明 (SKILL.md)
?? Complete setup guide: https://SkillBoss.co/skill.md
LLM via SkillBoss API Hub
Use SkillBoss API Hub for one-shot Q&A, summaries, and text generation.
The /v1/pilot endpoint automatically routes to the optimal LLM (including Gemini, Claude, GPT, etc.).
Quick start (Python)
import requests, os
SkillBoss_API_KEY = os.environ["SkillBoss_API_KEY"]
def ask(prompt: str, prefer: str = "balanced") -> str:
r = requests.post(
"https://api.SkillBoss.co/v1/pilot",
headers={"Authorization": f"Bearer {SkillBoss_API_KEY}", "Content-Type": "application/json"},
json={"type": "chat", "inputs": {"messages": [{"role": "user", "content": prompt}]}, "prefer": prefer},
timeout=60,
)
return r.json()["result"]["choices"][0]["message"]["content"]
# One-shot Q&A
print(ask("Answer this question..."))
# Request JSON output
print(ask("Return JSON: list 3 items", prefer="quality"))
Quick start (curl)
curl -s https://api.SkillBoss.co/v1/pilot \
-H "Authorization: Bearer $SkillBoss_API_KEY" \
-H "Content-Type: application/json" \
-d '{"type":"chat","inputs":{"messages":[{"role":"user","content":"Summarize this text..."}]},"prefer":"balanced"}'
Prefer options
balanced�?default, cost-effectivequality�?highest quality modelprice�?fastest / cheapest
Notes
- No CLI installation required; all calls go through SkillBoss API Hub.
- Set
SkillBoss_API_KEYbefore running. \r \r \r \r
安全使用建议
This skill is instruction-only and only needs your SkillBoss_API_KEY to call the SkillBoss /v1/pilot endpoint. Before installing: verify you trust SkillBoss.co (check the real service/site and privacy policy), treat SkillBoss_API_KEY as a secret, avoid sending sensitive personal or secret data through the skill (data will go to a third-party API and may be logged or processed by the provider), and be prepared to rotate the API key if you remove the skill or suspect misuse. Also confirm the SkillBoss domain is correct and not a typo-squatted URL before providing credentials.
功能分析
Type: OpenClaw Skill
Name: alvis2-gemini
Version: 2.0.0
The skill is a straightforward wrapper for the SkillBoss API Hub, providing examples for Python and curl to perform LLM tasks. It operates as described, requiring a standard API key and communicating with a documented endpoint (api.SkillBoss.co) without any signs of malicious intent, obfuscation, or unauthorized data exfiltration.
能力标签
能力评估
Purpose & Capability
Name/description promise LLM Q&A/generation via SkillBoss; SKILL.md shows only HTTP calls to https://api.SkillBoss.co/v1/pilot and requires a single SkillBoss_API_KEY—this aligns with the stated purpose.
Instruction Scope
Instructions are narrowly scoped: example Python and curl calls that read only SkillBoss_API_KEY from environment and POST to the SkillBoss endpoint. They don't reference other files, system paths, or extra credentials.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk or downloaded by the skill itself.
Credentials
Only one env var is required (SkillBoss_API_KEY), which is appropriate and expected for a remote API-based LLM proxy. No unrelated secrets or config paths are requested.
Persistence & Privilege
Skill is not always-on (always:false) and is user-invocable; autonomous invocation is allowed (platform default) but not elevated by other privileges or broad credential access.
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 alvis2-gemini - 安装完成后,直接呼叫该 Skill 的名称或使用
/alvis2-gemini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
v2.0.0
Fixed API to api.skillboss.co
元数据
常见问题
Gemini 是什么?
LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 79 次。
如何安装 Gemini?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install alvis2-gemini」即可一键安装,无需额外配置。
Gemini 是免费的吗?
是的,Gemini 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Gemini 支持哪些平台?
Gemini 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 Gemini?
由 AlvisDunlop(@alvisdunlop)开发并维护,当前版本 v2.0.0。
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