by 安全扫描
OpenClaw
可疑
medium confidenceThe skill's purpose (pre-generating demo content) matches what the code does, but there are a few inconsistencies and missing declarations (undeclared GEMINI key, undeclared dependencies, and placeholder Turso URL) that you should review before running it with real credentials.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.12026/3/6
- Added TURSO_AUTH_TOKEN to required environment variables. - Updated metadata formatting and structure. - Included a security note about base64 usage for encoding cached binary content. - Changed the metadata emoji from 🏃 to 🏃 (now specified as a Unicode character, not escaped).
● 无害
安装命令
点击复制官方npx clawhub@latest install demo-precacher
🇨🇳 镜像加速npx clawhub@latest install demo-precacher --registry https://cn.longxiaskill.com
技能文档
async def precache_demo():
scenarios = [
{"name": "Sophie", "language": "fr", "prompt": "A story about cloud whales..."},
{"name": "Kai", "language": "ja", "prompt": "A story about bamboo forests..."},
]
for s in scenarios:
# Step 1: Generate content (hits the real API)
story = await generate_story(s["prompt"], s["name"], s["language"])
# Step 2: Cache the result
await cache.set(s, story)
# Step 3: Generate all derived content (audio, images)
for scene in story["scenes"]:
audio = await generate_tts(scene["text"], voice_id)
await cache.set(f"audio_{scene['id']}", audio)
# Step 4: Verify playback
cached = await cache.get(s)
assert cached is not None, f"Cache miss for {s['name']}"
# Step 5: Report coverage
print(f"Cached {len(scenarios)} scenarios, all verified ✅")
scripts/precache_demo.py — 带验证与覆盖率报告的预缓存示例数据来源：ClawHub ↗ · 中文优化：龙虾技能库