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/us-undervalued-growth-screener

@b9ca9a4
by tradermontytradermonty/claude-trading-skills2.9k stars
663

Autonomously screen NYSE, Nasdaq, and NYSE American operating-company stocks for undervalued-growth/GARP opportunities using forward same-basis valuation, driver-derived EPS/FCF forecasts, primary-source financial verification, SBC and dilution controls, sector and cycle normalization, auditable candidate-pool coverage, and fail-closed final reporting. Use when asked to find, screen, rank, or refresh US undervalued-growth stocks, including minimal requests with no ticker list or parameters.

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Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/us-undervalued-growth-screener

This session only. Nothing lands on disk.

referencesmigration-v3.4-to-v3.5.md

≈424 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Migration v3.4 → v3.5

Breaking changes

  1. Runtime identity is now 3.5.0 / contract 3.5 / ug-v3.5-multilane-quality-bundle-20260828.
  2. Default deep-dive budget is five and uses multi-lane selection.
  3. Candidate metrics must retain average_volume and liquidity_source_ids.
  4. Provider-side share-volume filters prevent a full-listing enumeration claim.
  5. Forecast bridges require construction_method=independent_driver_model and per-driver provenance with target_solved=false.
  6. Discrete/YTD/reported TTM cash-flow evidence requires exact support paths.
  7. Recent spin-offs and transformative M&A use corporate_transition, not identity.special_case.
  8. Formal eligibility has score, FCF, ROIC, leverage, dilution, low-case, and LOE quality gates. A new conditional status is available.
  9. Final-three categories are nullable and use category-specific thresholds.
  10. Final publication requires prepublish_audit.py and bundle_run_artifacts.py.

Candidate migration

Add driver provenance under every year-2/year-3 bridge:

{
  "construction_method": "independent_driver_model",
  "driver_provenance": {
    "revenue": {
      "origin": "market_consensus",
      "source_ids": ["consensus-source"],
      "target_solved": false
    }
  }
}

Add exact cash-flow supports to source rows:

financials.cash_flow_periods.<period-end>
financials.ttm_reconstruction.<component>
financials.cash_flow_ttm.reported_ttm

Run migration

Discard v3.4 audits/checkpoints; their fingerprint is intentionally incompatible. Re-run runtime preflight, Broad Screen, candidate verification, strict evaluation, prepublication audit, and bundle generation.

Source: SKILL.md on GitHub

Third-party checks

No alerts5d3 checks · Risk SAFE
  • Gen Agent Trust Hub5d

    The skill is a professional-grade stock screening tool that implements rigorous data integrity checks and professional financial modeling. It uses local Python scripts to handle large data payloads from well-known financial APIs (Financial Modeling Prep and the SEC), keeping raw data out of the AI's immediate context. Security features include proactive filtering to prevent the inclusion of secrets or environment files in generated audit bundles.

  • Socket5d

    No alerts

  • Snyk5d

    Risk: LOW · No issues

Provenance

Signed by skilld at b9ca9a4. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 18 hours ago.

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