Stock Forecast
PassAudited by VirusTotal on May 12, 2026.
Overview
Type: OpenClaw Skill Name: intellectia-stock-forecast Version: 1.0.2 The OpenClaw skill bundle 'intellectia-stock-forecast' is classified as benign. The `SKILL.md` file clearly defines the skill's purpose to interact with the Intellectia AI API for stock forecasts and analysis. It requires standard tools like `curl` and `python3` and installs the `requests` Python library, all of which are appropriate for making HTTP requests. All network calls demonstrated in the examples are directed to the specified `https://api.intellectia.ai` domain, with no evidence of data exfiltration to unauthorized endpoints, malicious execution, persistence mechanisms, or obfuscation. The instructions in `SKILL.md` are designed to guide the AI agent in using the skill for its stated purpose, rather than attempting prompt injection for harmful objectives.
Findings (0)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Ticker symbols and analysis requests may be sent to an external provider to generate forecasts.
The skill instructs use of curl or Python requests to call an external stock-analysis API. This is disclosed and central to the skill's purpose, but users should know their ticker queries are sent to Intellectia.
curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-public?ticker=TSLA&asset_type=0"
Use the skill only when you are comfortable sending the requested ticker and asset type to Intellectia; avoid including private financial details in prompts.
Using the Python examples may require installing a package into the local Python environment.
The skill references installing the common Python requests package for its example scripts. This is purpose-aligned, but it is an additional dependency users should notice.
"install":[{"id":"python","kind":"pip","package":"requests","bins":[],"label":"Install requests (pip)"}]Install dependencies from trusted package sources and prefer an isolated Python environment if you choose to run the examples.
Users could over-rely on AI-generated stock forecasts if they ignore the disclaimer.
The skill operates in a high-stakes financial decision context, but it discloses that outputs are informational and not guaranteed investment advice.
Supports "Should I Buy" investment decision Q&A ... for informational purposes only and do not constitute financial, investment, or trading advice.
Treat outputs as one informational input only, verify data independently, and consult a qualified professional before making financial decisions.