Security audit
Security checks across malware telemetry and agentic risk
This is a read-only forecasting skill that sends research queries and gathered signals to AIsa APIs, with privacy considerations but no hidden persistence, posting, or destructive behavior found.
Install only if you are comfortable sending forecast topics, tickers, market questions, social/news search terms, and synthesized research data to AIsa services. Avoid using it with secrets, confidential strategy, regulated data, private watchlists, or sensitive personal information, and treat outputs as informational research rather than financial advice.
Use the AIsa LLM gateway to break the user's query into source-specific search terms.
```bash
curl -X POST "https://api.aisa.one/v1/chat/completions" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{Use the AIsa LLM gateway to break the user's query into source-specific search terms.
```bash
curl -X POST "https://api.aisa.one/v1/chat/completions" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{```bash # 1. Find Polymarket markets (params: search, status, market_slug, limit) curl "https://api.aisa.one/apis/v1/polymarket/markets?search=<PREDICTION_MARKET_QUERY>&status=open&limit=5" \ -H "Authorization: Bearer $AISA_API_KEY" # 2. Price a token (token_id = side_a.id or side_b.id from step 1)
For Kalshi, the flow is the same but keyed on `market_ticker`: ```bash curl "https://api.aisa.one/apis/v1/kalshi/markets?search=<PREDICTION_MARKET_QUERY>&limit=5" \ -H "Authorization: Bearer $AISA_API_KEY" curl "https://api.aisa.one/apis/v1/kalshi/market-price/<MARKET_TICKER>" \
`queryType` (`Latest` or `Top`). ```bash curl "https://api.aisa.one/apis/v1/twitter/tweet/advanced_search?query=<TWITTER_QUERY>&queryType=Latest" \ -H "Authorization: Bearer $AISA_API_KEY" ```
Use AIsa's Tavily relay to search recent news articles about the topic.
```bash
curl -X POST "https://api.aisa.one/apis/v1/tavily/search" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{| POST | `/v1/chat/completions` | Standard OpenAI chat completions | ~$0.01–0.05 (model-dependent) |
```bash
curl -X POST "https://api.aisa.one/v1/chat/completions" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "gpt-4.1-mini", "messages": [...], "temperature": 0.3}'Client function: `search_news`.
```bash
curl -X POST "https://api.aisa.one/apis/v1/tavily/search" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query": "Fed rate cut", "search_depth": "advanced", "max_results": 10, "topic": "news", "days": 7}'Body: `{"query": "..."}`. Client function: `perplexity_search`.
```bash
curl -X POST "https://api.aisa.one/apis/v1/perplexity/search" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query": "outlook for AI chip demand 2026"}'Every endpoint the skill touches, documented from the actual calls in `scripts/aisa_client.py`. - **REST base URL:** `https://api.aisa.one/apis/v1` - **LLM base URL:** `https://api.aisa.one/v1` (OpenAI-compatible — note: **no** `/apis`) - **Auth header:** `Authorization: Bearer $AISA_API_KEY` on every request
`scripts/aisa_client.py`. - **REST base URL:** `https://api.aisa.one/apis/v1` - **LLM base URL:** `https://api.aisa.one/v1` (OpenAI-compatible — note: **no** `/apis`) - **Auth header:** `Authorization: Bearer $AISA_API_KEY` on every request ---
## LLM Gateway (query decomposition + synthesis) OpenAI-compatible. Base URL is `https://api.aisa.one/v1`. The skill uses `gpt-4.1-mini` for both decomposition and synthesis (override with `--model`). | Method | Path | Purpose | Price/call |
| POST | `/v1/chat/completions` | Standard OpenAI chat completions | ~$0.01–0.05 (model-dependent) |
```bash
curl -X POST "https://api.aisa.one/v1/chat/completions" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "gpt-4.1-mini", "messages": [...], "temperature": 0.3}'orchestrator pulls prices + metrics + news per ticker. ```bash curl "https://api.aisa.one/apis/v1/financial/prices?ticker=AAPL&interval=day" \ -H "Authorization: Bearer $AISA_API_KEY" ```
```bash # 1. Find the market curl "https://api.aisa.one/apis/v1/polymarket/markets?search=Fed%20rate%20cut&status=open&limit=5" \ -H "Authorization: Bearer $AISA_API_KEY" # 2. Price the token (token_id = side_a.id / side_b.id from step 1)
-H "Authorization: Bearer $AISA_API_KEY" # 2. Price the token (token_id = side_a.id / side_b.id from step 1) curl "https://api.aisa.one/apis/v1/polymarket/market-price/<TOKEN_ID>" \ -H "Authorization: Bearer $AISA_API_KEY" ```
treat as ~$0.01/call for budgeting. ```bash curl "https://api.aisa.one/apis/v1/twitter/tweet/advanced_search?query=Fed%20rate%20cut&queryType=Latest" \ -H "Authorization: Bearer $AISA_API_KEY" ```
Client function: `search_news`.
```bash
curl -X POST "https://api.aisa.one/apis/v1/tavily/search" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query": "Fed rate cut", "search_depth": "advanced", "max_results": 10, "topic": "news", "days": 7}'Body: `{"query": "..."}`. Client function: `perplexity_search`.
```bash
curl -X POST "https://api.aisa.one/apis/v1/perplexity/search" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query": "outlook for AI chip demand 2026"}'59/59 vendors flagged this skill as clean.
No suspicious patterns detected.