Investor research
Skill frankxai/awesome-investor-agent-skills/skills/investor-research
THE definitive curated resource for investor-agent-skills | GenCreator 6-Pillar CoE • Starlight Intelligence • Arcanea Creative Execution • Agentic Passive Income Systems
npx -y skills add frankxai/awesome-investor-agent-skills --skill investor-researchAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Use when mapping public investor, quant, trading, crypto, or financial AI repositories for research-only agent workflows.
SKILL.md
0.9 KB, 164 tokens by cl100k_base, as published. Nobody here has run it
Investor Research
Use this skill to turn public financial tooling into a source-backed research map.
Inputs
- Public GitHub repos and official docs.
data/repos.json.- Path docs under
docs/paths/.
Rules
- Treat all outputs as research organization, not advice.
- Cite sources and evidence dates.
- Classify execution and privacy risk.
- Stop at research, memo, backtest, and simulation outputs unless working inside a separate private, human-gated system.
- Never store secrets, private positions, wallet material, or account data.
Output Shape
Return:
- objective
- source set
- category map
- tool fit
- execution risk
- privacy risk
- missing evidence
- human approval gate
- next research action