← Back to Skills Marketplace
ndtchan

Earnings Quality Reviewer

by Nguyễn Đức Thành · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ pending
28
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install earnings-quality-reviewer
Description
Reviews earnings quality before valuation when structured financial statements are available; optional notes improve confidence. Requires supplied data only...
README (SKILL.md)

Earnings Quality Reviewer

Purpose

Assess whether reported earnings are reliable enough to support valuation conviction.

Scope

  • Income statement.
  • Balance sheet.
  • Cash flow statement.
  • Profitability, liquidity, leverage, and efficiency ratios.
  • Financial statement notes.
  • One-offs and non-recurring items.
  • Related-party notes.
  • Debt maturity notes.

Non-goals

  • No data fetching.
  • No fabrication of missing notes.
  • No absolute buy/sell instructions.

Input contract

Provide structured financials and optional notes:

  • Income statement line items, including revenue, gross profit, operating profit, finance cost, tax, net income, and non-recurring items when available.
  • Balance sheet line items, including cash, receivables, inventory, current assets, debt, payables, current liabilities, equity, and total assets.
  • Cash flow line items, including cash flow from operations, capital expenditure, free cash flow, financing cash flows, and material working-capital movements.
  • Ratios or enough raw fields to compute ratios.
  • Optional notes covering accounting policy changes, related-party transactions, debt maturities, contingencies, and management adjustments.

Data quality gate

Before reviewing earnings quality, assess:

  • Statement freshness: whether statement dates are current enough for the valuation date.
  • Missing lines: whether key income statement, balance sheet, or cash flow lines are absent.
  • Cash-flow completeness: whether operating cash flow, capital expenditure, and free cash flow are available or can be derived.
  • Notes availability: whether notes are supplied for accounting policies, one-offs, related parties, contingencies, and debt maturities.

If the data gate fails, still provide a review when possible, but lower confidence and list the gaps in the handoff bundle.

Review checklist

  • Cash conversion: compare net income with operating cash flow and free cash flow across the available period.
  • Accrual risk: identify large earnings-without-cash patterns, margin expansion without cash support, capitalization concerns, or abnormal non-cash items.
  • Working capital pressure: review receivables, inventory, payables, current ratio trends, and cash conversion cycle signals when available.
  • Leverage/refinancing risk: assess debt load, short-term maturities, interest burden, covenant or liquidity pressure, and refinancing dependence.
  • One-off adjustments: separate recurring earnings power from asset sales, impairments, restructuring charges, tax effects, FX effects, and other non-recurring items.
  • Governance/accounting red flags: flag related-party transactions, accounting policy changes, auditor concerns, restatements, unusually aggressive assumptions, and unexplained note gaps.

Required output format

Use exactly these sections:

  1. Input Quality
  2. Earnings Quality Score
  3. Cash Conversion and Accruals
  4. Balance Sheet and Working Capital
  5. One-Offs and Accounting Red Flags
  6. Valuation Confidence Impact
  7. Handoff Bundle

Shared confidence rubric

  • High: fresh statements, complete income statement, balance sheet, and cash flow data, notes available, consistent cash conversion, limited accrual concerns, and no material unresolved red flags.
  • Medium: usable statements and cash-flow data, but notes are incomplete, one major line group is limited, or there are moderate unresolved earnings-quality concerns.
  • Low: stale statements, missing cash-flow data, missing notes, major unexplained accruals, significant working-capital stress, refinancing risk, or material accounting/governance red flags.

Guardrails

  • Separate facts, assumptions, and inference.
  • Do not fabricate missing line items, notes, explanations, or management intent.
  • Cap confidence at Medium when relevant notes are missing.
  • Treat red flags as valuation-risk inputs, not trading commands.
  • Use cautious language when the evidence is incomplete or mixed.

Handoff bundle

Include these exact markers:

  • ticker
  • as_of_date
  • earnings_quality_tier
  • cash_conversion
  • accrual_risk
  • working_capital_pressure
  • leverage_refinancing_risk
  • one_off_adjustments
  • red_flags
  • valuation_confidence_impact
  • data_gaps

Trigger examples

  • "Review earnings quality before I run valuation."
  • "Check whether these reported profits are cash-backed."
  • "Assess accrual risk and working-capital pressure from these statements."
  • "Prepare an earnings-quality handoff for the valuation model."
Capability Tags
crypto
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install earnings-quality-reviewer
  3. After installation, invoke the skill by name or use /earnings-quality-reviewer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of earnings-quality-reviewer. - Reviews earnings quality based on structured financial statements and optional notes only. - Provides a clear, multi-part report including input quality, earnings quality score, cash conversion, accruals, balance sheet, one-offs, and red flags. - Applies a standardized confidence rubric capped if notes are missing or red flags exist. - Lists all required line items, scope, and explicit non-goals (no data fetching, no buy/sell calls). - Discloses any data limitations and gaps in a structured "handoff bundle" for downstream valuation use. - Enforces separation of facts, assumptions, and inferences; avoids speculation.
Metadata
Slug earnings-quality-reviewer
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Earnings Quality Reviewer?

Reviews earnings quality before valuation when structured financial statements are available; optional notes improve confidence. Requires supplied data only... It is an AI Agent Skill for Claude Code / OpenClaw, with 28 downloads so far.

How do I install Earnings Quality Reviewer?

Run "/install earnings-quality-reviewer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Earnings Quality Reviewer free?

Yes, Earnings Quality Reviewer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Earnings Quality Reviewer support?

Earnings Quality Reviewer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Earnings Quality Reviewer?

It is built and maintained by Nguyễn Đức Thành (@ndtchan); the current version is v1.0.0.

💬 Comments