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/us-undervalued-growth-screener

@b9ca9a4

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.

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

This session only. Nothing lands on disk.

referencesoriginal-prompt-mapping.md

≈2.1k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Source Prompt Coverage Map

The original Japanese prompt remains the methodological authority. The skill reorganizes it into progressive research instructions, a source-linked schema, deterministic calculations, audit statuses, and tests.

Original prompt area Skill implementation
Undervalued growth rather than low P/E SKILL.md overview; methodology objective; minimum constant-multiple upside gate
NYSE/Nasdaq/NYSE American and USD 500M–20B focus scope/configuration and screening funnel
Exclusions and liquidity corporate-action preflight, flags, liquidity gates, hard-exclusion log
SEC/IR source priority evidence map, source ledger, research checklist, data-quality weights
Consensus date/period/type/analyst count separate current/year-2/year-3 valuation records
Price timestamp/session and post-event consistency common price basis, latest-event timestamp, stale-data gate
Revenue, EPS, FCF-per-share growth historical CAGRs and forward per-share periods
ROIC, margins, leverage normalized financials and score components
Standard FCF = OCF − capex non-negative capex convention and three TTM reconstruction methods
Company-adjusted FCF disclosure separate supplemental field and definition; never substitutes for standard FCF
GAAP vs non-GAAP per-period metric basis and arithmetic GAAP reconciliation
SBC, dilution, and actual buybacks SBC/FCF metrics, diluted-share history, explicit penalties
Three-to-five genuine peers sourced peer rows, basis/period validation, peer-median scenario
Strict cyclical review sourced normalization object and fail-closed gate
Latest earnings and growth-state classification latest-earnings object and full report section
Sector-specific KPI rules sector profile; commercial-biopharma LOE and payments cash/take-rate controls
Earnings/accounting quality TTM reconstruction, working-capital review, source checklist
Constant multiple, 20% contraction, peer median deterministic evaluator
EPS/FCF forecast construction numerator/denominator bridge, drivers, arithmetic tolerance
Why discounted and market may be right qualitative contract and report section
Catalysts, risk, and invalidation detailed candidate and final-three sections
100-point ranking seven preserved score components plus deterministic penalties
Complete output contract full Markdown renderer and structured JSON
Do not guess or force recommendations null contract, evidence gates, review status, no-qualifier result
Preserve incomplete work honestly checkpoint manager and provisional partial-run status

Version 2 Enhancements

  1. Corporate-action preflight runs before detailed financial research, catching completed acquisitions and inactive symbols early.
  2. Data-quality points require resolving evidence and arithmetic; self-attested completeness flags are ignored.
  3. Capex sign convention is explicit and negative normalized outflows fail closed.
  4. TTM OCF/capex supports four discrete quarters or FY+YTD−prior YTD without double-counting cumulative statements.
  5. Standard FCF and company-adjusted FCF are separate.
  6. Corporate cash is separated from customer/settlement and restricted funds.
  7. Current, year-2, and year-3 accounting bases are stored separately; mixed bases block scenarios.
  8. Adjusted/normalized periods require GAAP reconciliation.
  9. screened_out is distinct from hard excluded.
  10. Long runs checkpoint every candidate and can resume.
  11. Partial coverage produces a provisional report with no final-three claims.
  12. Commercial-biopharma LOE and payments take-rate/cash controls are explicit.
  13. Full Markdown output now follows all major sections of the original prompt.
  14. Synthetic tests cover evidence, FCF, period basis, corporate actions, sector controls, partial runs, and packaging behavior.

Version 3 Review-Driven Controls

Original requirement v3 implementation
Current market valuation, rates, economy, sector cycle Mandatory sourced market_context; placeholders/future dates rejected
Latest price and latest earnings Quote/event timestamp gate; latest quarter and full year separated
Forward P/E constant-multiple analysis NTM/FY1 current metric required; TTM supplemental only
Do not uncritically use consensus Analyst-count/range and rankable-horizon controls; forecast bridge required
Compare 3–5 peers Same-basis sourced peer gate
Do not mechanically reject 21–30x high growers Broad-screen high-growth exception
Industry-specific leverage Auto-dealer floorplan-adjusted leverage gate
Product concentration and structural risk Derived/sourced commercial-biopharma concentration and LOE stress
Important numbers need source/period/retrieval date Strict source ledger with typed supports arrays
Scope and candidate counts Full listing audit plus bounded candidate-pool artifact, explicit scope, enrichment counts, and SHA-256
Do not recommend when conditions are unmet --require-final, no final-three on provisional runs, explicit no-candidate result

Version 3.1 Execution Controls

Original requirement v3.5 execution implementation
Screen the major US exchanges, with emphasis on USD 500M–20B Full listing-universe audit records requested and retrieved bounds; reduced scope is disclosed and cannot silently complete
Do not guess missing numbers Missing discovery data is needs_enrichment; no placeholder zeros or scores
Use multiple metrics but respect industry characteristics General-company candidate screen plus explicit sector-review routing for banks, REITs, insurers, BDCs, MLPs, cyclicals, and auto dealers
Do not force ten recommendations Deep-dive set is bounded; evidence-based no_candidates is a valid final result
Important data must be current and sourced Full listing source, candidate-estimate source, SEC/IR sources, artifact hashes, and timestamps are separate
Conditions not met means no recommendation insufficient_data triggers more discovery; it is never relabeled as “no candidates”
Complete the task from the screening request Plan-gated bulk statements automatically route to provider-prefilter or stratified estimate enrichment before selected-name primary-source underwriting

Version 3.3 Evidence and Runtime Controls

Original requirement v3.5 implementation
Do not mix old and current data/processes Runtime version, contract, schema, and fingerprint are embedded and hard-validated.
Do not uncritically use consensus EPS/FCF is independently rebuilt from operating drivers; circular numerator checks fail.
Distinguish GAAP and adjusted forecasts Driver-derived GAAP and after-tax adjustments separately tie to the reconciliation.
Standard FCF and source period integrity TTM construction method and every component-period source are verified.
Do not overstate cash or EV/FCF Corporate cash normalization and customer/restricted-fund separation feed evaluator-calculated EV.
Treat product concentration/LOE structurally Biopharma aliases normalize to commercial-biopharma and require concentration/LOE/6x/8x stress.
Do not use peak cyclical profits peak_profit_risk=true forces sourced normalization even with a low numeric cycle score.
Important numbers need sources ROIC, EBITDA, cash, TTM periods, sector evidence, and forecasts affect quality points and caps.
Do not overclaim scope Audited bounded pools produce explicitly scoped conclusions; market-wide no-candidates requires full economic coverage.

Version 3.5 Discovery and Autonomy Controls

Original requirement v3.5 implementation
Screen the requested US small/mid-cap range Immutable user_requested_scope plus separately audited executed_scope; internal single-band narrowing is rejected
Exclude extreme illiquidity using trading liquidity 20+ session ADDV provenance contract; raw one-session volume is ignored
Use current Forward P/E and do not mix periods Dated NTM/FY1 normalization, price/EPS reconciliation, analyst breadth, range-dispersion and continuity checks
Do not force the user to supervise internal steps Exit code 2 and next-action are same-execution continuation; selected-set commitment requires every selected name to finish

Source: SKILL.md on GitHub

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  • 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.

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  • Snyk5d

    Risk: LOW · No issues

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