Gemini
v2.0.0LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
high confidencePurpose & Capability
Name/description claim LLM Q&A via SkillBoss API Hub and the SKILL.md only demonstrates HTTP calls to https://api.SkillBoss.co/v1/pilot and requires SkillBoss_API_KEY — this is proportionate and expected.
Instruction Scope
Instructions only show curl/Python POSTs to the SkillBoss /v1/pilot endpoint and reference a single env var. They do not instruct reading unrelated files, other env vars, or sending data to other endpoints.
Install Mechanism
No install spec or code files — instruction-only skill. Nothing is downloaded or written to disk by the skill itself.
Credentials
Only SkillBoss_API_KEY is required, which is appropriate for an API-wrapper skill. No unrelated credentials, config paths, or multiple tokens are requested.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent system presence or privileged configuration changes.
Assessment
This skill is coherent and only needs a SkillBoss API key to forward prompts to SkillBoss. Before installing, verify you trust the SkillBoss service (check the domain, privacy, and billing policies), ensure the API key you provide has appropriate scope/limits, and consider creating a limited or test key to try the integration. Because the skill is instruction-only it won't install code locally, but any prompts and responses will transit SkillBoss’s servers — do not send highly sensitive secrets through it unless you trust the provider.Like a lobster shell, security has layers — review code before you run it.
Runtime requirements
♊️ Clawdis
EnvSkillBoss_API_KEY
latest
?? 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.
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