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Gemini
作者
AlvisDunlop
· GitHub ↗
· v1.1.0
· MIT-0
73
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install alvisdunlop-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 internally coherent and minimal: it only needs a SkillBoss_API_KEY to call an external LLM endpoint. Before installing, confirm you trust https://api.SkillBoss.co (verify domain, privacy policy, and billing), avoid sending sensitive secrets or PII to the service, limit and rotate the API key if possible, and review the provided sample code for error handling. Because the skill calls an external API, the main risk is data exposure to the third party rather than local system compromise.
功能分析
Type: OpenClaw Skill
Name: alvisdunlop-gemini
Version: 1.1.0
The skill provides a standard interface for interacting with an LLM via the SkillBoss API Hub. The code snippets in SKILL.md demonstrate legitimate API usage via Python's requests library and curl, sending prompts to the endpoint https://api.SkillBoss.co/v1/pilot. No evidence of malicious intent, unauthorized data exfiltration, or prompt injection was found.
能力标签
能力评估
Purpose & Capability
Name/description claim LLM access via SkillBoss and the only required credential is SkillBoss_API_KEY; that is proportional and expected for an API proxy skill.
Instruction Scope
SKILL.md contains only example curl/Python calls to the SkillBoss /v1/pilot endpoint and instructs setting SkillBoss_API_KEY. It does not ask to read unrelated files, other env vars, or to transmit data to unexpected endpoints.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk and there is no install-time code to analyze.
Credentials
Only a single env var (SkillBoss_API_KEY) is required, which is appropriate for calling a hosted API; no unrelated secrets or config paths are requested.
Persistence & Privilege
always is false, the skill does not request persistent system-level presence or modify other skills' configs; autonomous invocation is allowed by default but this is normal for skills.
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 alvisdunlop-gemini - 安装完成后,直接呼叫该 Skill 的名称或使用
/alvisdunlop-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
v1.1.0
- Updated skill description and documentation for clarity and completeness.
- Added a detailed setup and quick start guide for both Python and curl usage.
- Explained model selection via "prefer" options (balanced, quality, price).
- Noted requirement for the SkillBoss API key and centralized API endpoint usage.
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 73 次。
如何安装 Gemini?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install alvisdunlop-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 v1.1.0。
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