xbrl-fallbacks

Community

Recover shares-outstanding when XBRL fails

Authorjefrnc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

XBRL gaps (404/empty/sparse company-facts) can make quant pipelines incorrectly conclude that share counts are missing, breaking dilution and float-based analyses for real issuers.

Core Features & Use Cases

  • Fallback hierarchy for shares outstanding: recovers the earliest reliable cover-page/text count across 10-Q, 10-K, 6-K, 20-F, F-* registrations, 424B supplements, DEF 14A, and initial registration forms.
  • Text-based extraction rules: interprets common templated language for “as of” share counts, normalizes numbers (commas, scaling), and captures the as-of date.
  • Multi-class and ADS gotchas: handles Class A/B summation and tracks ADS-to-ordinary share ratios without collapsing important share structures.
  • Provenance and validation guardrails: emits a synthetic-tag datapoint (text:...) with source_form, source_accession, filed_date vs as_of_date safety semantics, plus cross-check guidance against any available XBRL and offering deltas.
  • Use case: estimate dilution over time for small-cap FPIs, SPAC shell phases, or recently listed companies when structured XBRL is delayed or absent.

Quick Start

Use the xbrl-fallbacks skill to extract and validate shares-outstanding from the most recent relevant SEC filing text when company-facts XBRL is missing or empty.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: xbrl-fallbacks
Download link: https://github.com/jefrnc/quant-llm-skills/archive/main.zip#xbrl-fallbacks

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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