Individual skill

alphagbm-stock-research

Connect fundamentals, sentiment and risk to supporting and opposing evidence. Use when the user asks to stock opportunities with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

skills/core/alphagbm-stock-research/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 2,959
Repository last updated: Oct 6, 2026
License: MIT

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SKILL.mdcore · 2,954 bytes
agents/openai.yamlasset · 270 bytes
references/access.mddoc · 2,461 bytes
references/investment-review.mddoc · 3,620 bytes
scripts/review_engine.pyruns · 16,028 bytes
scripts/run.pyruns · 39,390 bytes

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# Stock Opportunities

Connect fundamentals, sentiment and risk to supporting and opposing evidence.

Release preview: the matching backend has not been verified in production. Do not claim this structured workflow is live; unsupported servers must fail closed. Retained legacy runner commands remain compatible.

## Before running

Read [access and evidence rules](references/access.md). Python 3.9+ is the only runtime dependency; no separate CLI or sibling Skill installation is required. Resolve `<skill-dir>` to the directory containing this file.

Identify the ticker and market suffix, and agree the research style. One explicit user-authorized research request is the starting point. Use only returned fundamentals, report and risk fields; no invented peer comparisons. The legacy risk.score is not the homepage opportunity score. For the stock-opportunities.v1 rollout, add --workflow --lang zh (or en). The runner first checks the public workflow contract without a key; unsupported servers receive no analysis request. Preserve partial status, resultId, scoring version and missingData. Do not retry a charged request automatically or claim the result was saved to user history. This opt-in format needs the matching backend deployment; the default legacy command remains available.

## Run