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Install in OpenClaw
/install stock-research-desk
Description
Claude Code skill for multi-agent equity research. Produces buy-side memos with debate, scenario projection, and bilingual DOCX delivery. Use when researchin...
Usage Guidance
This skill claims to be a complex Python CLI but contains only an instruction file — there is no code to implement the 12-agent pipeline. Before installing or running anything: (1) verify the upstream repository (the homepage) and confirm the package files and a safe install procedure exist; (2) do not paste your OLLAMA_API_KEY into unknown tools — prefer a scoped/limited key or test in a sandbox; (3) be cautious if following the pip install advice — it may require pulling code from the GitHub repo; (4) if you want to proceed, ask the publisher for the code or a packaged release, review the source, and run it in an isolated environment. Because of the mismatch between claims and provided files, treat this as suspicious until you can inspect the actual implementation.
Capability Analysis
Type: OpenClaw Skill
Name: stock-research-desk
Version: 1.0.0
The skill bundle describes a multi-agent equity research tool ('stock-research-desk') designed to produce financial memos. The SKILL.md and _meta.json files contain standard configurations, requesting access to necessary tools like WebSearch and Bash to execute its research pipeline. There is no evidence of malicious intent, data exfiltration, or prompt injection; the requested environment variable (OLLAMA_API_KEY) and installation steps (pip install) are consistent with the stated purpose of running a local or proxied LLM-based research desk.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description describe a complex 12-agent Python tool and CLI (./bin/research-stock). The skill declares python3, pip and an OLLAMA_API_KEY which would be reasonable for such a tool, but there are no code files, no install spec, and nothing in the bundle that implements the described pipeline. Asking the user to pip install -e .[dev] and run a local binary is inconsistent with the instruction-only packaging.
Instruction Scope
SKILL.md instructs installing a local package, setting OLLAMA_API_KEY in a .env, calling ./bin/research-stock and producing DOCX on the desktop, and describes web scraping/filtering behavior. Those runtime commands reference local files/binaries that are not present in the skill bundle. The instructions also allow web fetch/search and file read/write/edit operations — appropriate for research, but the combination with missing code means the agent could be given broad discretion without implemented constraints.
Install Mechanism
There is no formal install spec in the skill bundle (lowest risk), but SKILL.md tells users to run `pip install -e .[dev]` which presumes a local Python package. Because no package files are included, that instruction is misleading; it does not create an external download risk, but it is incoherent and could lead users to fetch the referenced GitHub repo or run arbitrary pip installs themselves.
Credentials
Only OLLAMA_API_KEY is required and declared as the primary credential, which is proportionate for an LLM-backed research tool. No unrelated secrets or multiple credentials are requested.
Persistence & Privilege
always:false and no requested config paths. The skill permits read/write/edit and web tools which are reasonable for a research/CLI tool, but these capabilities combined with missing code increase the need for caution.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-research-desk - After installation, invoke the skill by name or use
/stock-research-desk - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Stock Research Desk (v1.0.0)
- Provides a 12-agent multi-factor equity research pipeline for deep dives, sector screening, and watchlist management
- Generates bilingual (Chinese/English) buy-side memos in DOCX format
- Includes source quality scoring and noise filtering
- No trading execution, portfolio management, or backtesting features
Metadata
Frequently Asked Questions
What is Stock Research Desk?
Claude Code skill for multi-agent equity research. Produces buy-side memos with debate, scenario projection, and bilingual DOCX delivery. Use when researchin... It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install Stock Research Desk?
Run "/install stock-research-desk" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Stock Research Desk free?
Yes, Stock Research Desk is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Stock Research Desk support?
Stock Research Desk is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Stock Research Desk?
It is built and maintained by Da Wei (@wd041216-bit); the current version is v1.0.0.
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