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US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports
by
0xjordansg-yolo
· GitHub ↗
· v1.0.1
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Install in OpenClaw
/install openclaw-aisa-us-stock-analyst
Description
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis.
Usage Guidance
This package appears internally consistent and implements what it claims: it uses a single AIsa API key to fetch financial data, social signals, and to call an LLM gateway. Before installing or running: 1) Verify and trust the AIsa provider (https://aisa.one) because all data, prompts, and any sensitive input will be sent to that service. 2) Use a dedicated API key with limited credits/quotas to avoid unexpected charges or broad access. 3) Inspect the included Python scripts (they are plain-text) and run them in a sandbox or non-production environment first — they make outbound HTTPS calls and save reports locally. 4) Be aware the package omits a LICENSE in the release notes (legal/redistribution concern). 5) If you need Bloomberg-sourced raw data or vendor-level guarantees, confirm with the provider — the skill's marketing mentions Bloomberg but the code only calls AIsa endpoints that may aggregate third-party sources. If any of these points are unacceptable, do not install or run with keys containing privileged access.
Capability Analysis
Type: OpenClaw Skill
Name: openclaw-aisa-us-stock-analyst
Version: 1.0.1
The OpenClaw AgentSkills skill bundle for 'us-stock-analyst' is benign. The Python scripts (`stock_analyst.py`, `basic_analysis.py`, `batch_analysis.py`, `deep_analysis.py`, `test_api_data.py`) and documentation (`SKILL.md`, `README.md`, `TEST_REPORT.md`) are consistent with the stated purpose of providing stock analysis using the AIsa API. The skill correctly retrieves an API key from environment variables, makes HTTP requests to the documented `api.aisa.one` endpoints, and saves analysis reports to the local filesystem, all for legitimate purposes. There is no evidence of data exfiltration to unauthorized endpoints, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts against the OpenClaw agent itself. The prompts constructed for external LLMs are for legitimate analytical tasks, not for subverting the agent.
Capability Assessment
Purpose & Capability
Overall coherent: the skill claims to provide multi-source US stock analysis and all code and SKILL.md call AIsa endpoints and a multi-model LLM gateway at api.aisa.one, matching the declared primary credential AISA_API_KEY. Minor notes: the human-readable description calls out "Bloomberg Data" and "Wall Street Equity Research Reports" — the code does not call any Bloomberg-branded endpoints or require Bloomberg credentials, so this appears to be a marketing/branding claim (AIsa may aggregate third-party sources). Also the SKILL homepage in metadata references openclaw.ai while the runtime endpoints point to aisa.one; this is not necessarily malicious but is a provenance mismatch worth noting.
Instruction Scope
SKILL.md and the Python scripts instruct only to read the single declared env var (AISA_API_KEY), call HTTPS endpoints on api.aisa.one, and write normal output files (reports). There are no instructions to read unrelated local files, other credentials, system config, or to post data to unexpected third-party endpoints. Example scripts do prompt for tickers and save JSON reports to disk — expected behavior.
Install Mechanism
No install spec (instruction-only for the registry) and the listed Python dependency set is small (httpx, asyncio). No external binary downloads or archive extraction are specified. Required system binaries (curl, python3) are consistent with documented examples.
Credentials
Only one credential is required (AISA_API_KEY), which is proportional to an API-driven service. Caveat: this single API key grants the skill network access to the AIsa platform (data access, LLM proxy, and usage/billing). Provide a dedicated key with limited credits/quotas and treat it as sensitive; do not reuse high-privilege keys.
Persistence & Privilege
The skill does not request permanent/always-on inclusion and uses normal, user-invocable behavior. It does write report files to the current working directory (expected) but does not attempt to modify other skills or system configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-aisa-us-stock-analyst - After installation, invoke the skill by name or use
/openclaw-aisa-us-stock-analyst - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
US Stock Analyst replaces Twitter Command Center. Major upgrade from social media to professional US equity research.
- Complete redesign: Now focused on US stock analysis with financial data, news, sentiment, and multi-model AI.
- New API coverage: Financial metrics, statements, insider trades, institutional ownership, news, SEC filings, social sentiment, YouTube, and AI reports.
- Python client and scripts for basic, standard, and deep stock analyses.
- Example output and pricing details included.
- All Twitter/X-specific code and documentation removed.
v1.0.0
Initial release – provides real-time X (Twitter) data access and social monitoring features.
- Search tweets, monitor trends, extract posts, and analyze social media with read-only operations (safe, no Twitter account required).
- Advanced trending, user, and tweet search tools with API and Python client included.
- Strict warnings and documentation for risky write operations (posting, liking, retweeting) that require account credentials—use only with throwaway accounts.
- Full API and CLI usage examples for both safe (read) and risky (write) operations.
- Major emphasis on security: safe production use for all read features; high caution required for write capabilities.
Metadata
Frequently Asked Questions
What is US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports?
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis. It is an AI Agent Skill for Claude Code / OpenClaw, with 1357 downloads so far.
How do I install US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports?
Run "/install openclaw-aisa-us-stock-analyst" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports free?
Yes, US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports is completely free (open-source). You can download, install and use it at no cost.
Which platforms does US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports support?
US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created US Stock Analyst by leading AI LLM models with Bloomberg Data, Twitter Sentiment and Wall Street Equity Research Reports?
It is built and maintained by 0xjordansg-yolo (@0xjordansg-yolo); the current version is v1.0.1.
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