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alphagbm-options-score

alphagbm-options-score

github.com/alphagbmOther2.8k55 installsUpdated 5w ago
Repository

About alphagbm-options-score

alphagbm-options-score is a Python utility for retrieving options score snapshots through the AlphaGBM API. It is intended for researchers who need asset-specific results with dates, units, missing-data flags, and score type preserved.

Key features

  1. 01Reads options score snapshots
  2. 02Runs a Python script from the command line
  3. 03Preserves asset identity and dates
  4. 04Reports missing data and score type

Use cases

  1. 01Check options scores for a named asset
  2. 02Use score snapshots in research

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alphagbm/skills --skill alphagbm-options-score

After installing, type/alphagbm-options-scorein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

agents/
openai.yaml
references/
access.md
scripts/
review_engine.py
run.py

Details

From the project README

Options Score

Read access and evidence rules first. This package is a focused function; full research workflows are listed in the repository catalogue. Its runner is self-contained and requires only Python 3.9+.

python3 "<skill-dir>/scripts/run.py" options NVDA --limit 3 --confirm-usage

Requires ALPHAGBM_API_KEY. If the command uses --confirm-usage, first obtain approval to use the shared account allowance. Snapshot reads do not consume analysis credits, but still require account access.

Return only the successful API response, with its original asset identity, dates, units, missing-data flags and score type. Stock risk scores are not opportunity scores. Volatility fields can be missing; do not turn a snapshot into a fabricated 252-day IV Rank. Option candidates are not guaranteed fills or trade instructions. Never fall back silently to demo data. Nonzero exit must be surfaced as an error.

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