Equity data model POC built with Grok Bot
Small yfinance-to-Python equity data and FMI-shaped model skeleton POC described as built while working with Grok Bot.
SafeScan verdict · score 69/100
- Coverage
- full
- Checks run
- Rule-based pattern scan
- Files checked
- 6
- Findings
- 0
- Scanned
- 2026-11-01
Badges are rule-based checks, not guarantees: Safe means our rules found no obvious threat in the code we could read. Review code before installing.
Botlens score · 8 factors
69/100
Each factor is 0, ½ or 1, computed only from catalog fields (scan result, coverage, findings, script files, commit/SHA, author, last seen, install link). A heuristic summary, not a guarantee.
| Scan verdict | 1/1 | Safe | |
|---|---|---|---|
| Code coverage | 1/1 | full | |
| Rule findings | 1/1 | 0 matched | |
| No executable scripts | 0/1 | 3 script file(s) of 6 | |
| Pinned source | 1/1 | commit/SHA-256 recorded | |
| Named author | 0/1 | unknown | |
| Recently seen | 1/1 | last seen 2026-10-30 | |
| Install path | 0.5/1 | source URL only |
Scan details
- Findings
- No rule matched.
- Content SHA-256
- caaedbb6962e8a46…
- Commit
- 3a7ff99ad6
- Files
- .gitignore
README.md
requirements.txt
src/fetch_prices.py
src/model_skeleton.py
scripts/run_poc.py
About
- Author
- qaz027 ↗
- Listed on
- github:RongleCat/awesome-grok-bot ↗
- Category (approx.)
- research
- First seen
- 2026-10-30
- Last seen
- 2026-10-30
- URL
- github.com ↗