3-statement
SkillCommerce & financeThis skill lets your AI build integrated three-statement financial models that connect the income statement, balance sheet, and cash flow statement. Once added, your AI can project earnings, forecast balance sheet positions, and prepare cash flow statements while keeping all three statements balanced with each other.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the skill, then ask your AI to build a three-statement model or project a specific statement for the company you are working on.
Then ask your AI: use the 3-statement skill
What your AI can do with it
- Build a complete three-statement financial model
- Project income statements
- Forecast balance sheets
- Prepare cash flow statements
- Keep all three statements balanced and consistent with each other
- Build operating models
What this skill tells your AI
The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/models-and-pitches/skills/agentii/3-statement/SKILL.md and read by ahel’s review.
Preflight
Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.
Triggers
- analyze 3 statement model
- run 3 statement model analysis
- produce 3 statement model report
- 3 statement model breakdown
- 3 statement model deep dive
- build a 3 statement model
- assess 3 statement model
- quantify 3 statement model
- compare 3 statement model across peers
- review 3 statement model for
- generate 3 statement model on
- 3 statement model for investment decision
Defaults
| Parameter | Default | Notes |
|---|---|---|
| lookback_years | 3 | Historical data window |
| include_peers | false | Whether to surface a peer comparison block |
Methodology
Retrieval Scope
This skill performs unstructured document search at scale across SEC filings (10-K, 10-Q, 8-K). The three-layer agent-use-ready retrieval protocol (Document Discovery → Page Map → Deep Read) applies to all unstructured document search at scale.
Retrieval Strategy
See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.
Temporal Scope
Default: 12 fiscal quarters (max 20). Financial modeling: trailing 12 quarters (3 fiscal years) for long-range projection inputs.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
Step-by-step execution detail is in references/methodology.md.
Deliverable Chain
Inputs → Build → Validate → Output → Next
- Inputs: resolved ticker + 3 years of
search_xbrl_facts(Income Statement, Balance Sheet, Cash Flow) +get_statement_structurefor presentation tree. - Build: write a self-contained Python script using
openpyxlthat creates the 3-statement workbook per## Output Structure. Execute viaBash: python3 script.py. Verify the.xlsxexists at the output path. Ifimport openpyxlfails, fall back to.mdsummary withdata_availability: degraded(seecontracts/office-tooling.md). - Validate: run LibreOffice recalc; audit cross-statement checks (BS balances, CF ties to BS, IS flows to CF) per
## Validation Gates. - Output: write the artifact path per
## Output File. - Next: append to
agentii.md; hand off to a downstream pitch/review skill if requested.
Validation Gates
-
balance sheet balance: Assets = Liabilities + Equity within 1% tolerance. If failed: If unbalanced > 1%: refuse delivery, report imbalance amount.
-
cash flow tie-out: CF ending cash = BS cash for current period. If failed: If mismatched: refuse delivery, report discrepancy.
-
forecast years: exactly 5 historical + 5 forecast years. If failed: If < 5+5: flag in Coverage Gaps, proceed with available data.
-
**calculation arc cross-validation **: cross-statement balancing verified against
gold.xbrl_calculationsweights — each parent concept's value equals the weighted sum of its children per the XBRL calculation linkbase (e.g.,Assets = +1.0 × CurrentAssets + 1.0 × NoncurrentAssets,NetIncomeLoss = +1.0 × Revenues - 1.0 × OperatingExpenses + ...). Callget_statement_structure/{ticker}?statement_type=<type>&include_calculations=trueto retrieve the weighted parent-child relationships. Flag discrepancies ≥1% of parent concept value as audit findings. If failed: If any material discrepancy (≥1% of parent value): flag in audit findings, refuse delivery for discrepancies ≥5%. -
tool diversity: distinct MCP tools used in this invocation >=
min_tool_diversity(5). If failed: flag as depth-insufficient in Coverage Gaps, listing which tool categories were unused (structured data / document retrieval / company metadata / earnings calendar / coverage). This gate does NOT block analysis completion — it is a quality signal for your review.
Tool Fallbacks
Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.
Output File
Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_3-statement_{affix}.md .
Output Structure
The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:
- Executive Summary — headline conclusions (≤200 words).
- Core analysis sections — per this skill's methodology and analyst modes.
- Data classification — tag findings
[FACT]/[DEDUCTED]/[VIEW]percontracts/snapshot-synthesis.md. - Coverage Gaps & Citations — inline
/v/citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index. - Output frontmatter — emit the FR-090 structured block per
contracts/output-frontmatter-schema.md.
Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; a bottom Citations section provides a non-duplicative roll-up index; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.
Memory & Snapshot
- Memory load (pre-flight): load prior workspace context for the ticker before retrieval — see
contracts/memory-load.md. - Structured output frontmatter: emit the FR-090 block (
key_metrics,conclusions,facts_count,deducted_count,views_count,citation_count) percontracts/output-frontmatter-schema.md. - Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as
[FACT]/[DEDUCTED]/[VIEW]— seecontracts/snapshot-synthesis.md. - Session archival: record the run under
sessions/{YYYY-MM-DD}/and updatesessions/INDEX.mdpercontracts/session-format.md.
Final Summary (TUI)
End the closing chat reply with a compact Key Citations list (headline 5–10 facts), each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link, so the user can cmd+click straight to the exact SEC page. See contracts/citation-and-memory.md.
Error Handling
| Failure Mode | Detection | Action | User-Facing Message |
|---|---|---|---|
| Missing data | Data API returns empty result set | Widen date range and retry once | "No data available for {ticker} in requested window." |
| Partial data | Data API returns <80% expected records | Proceed with coverage gaps section | "Analysis based on partial data; see Coverage Gaps section." |
| Sector mismatch | Peer sector != target sector | Filter out mismatched peers | "Removed {n} peer(s) due to sector mismatch." |
| Insufficient history | Ticker <3 years on public markets | Downgrade to limited-history profile | "Limited historical data; analysis adjusted accordingly." |
| MCP unreachable | Preflight probe fails | Halt with actionable error | "agentii data plane unreachable; check connection." |
Signals
- GitHub stars
- 204
- Forks
- 16
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
x-3-statement- Source
- github.com/agentii-ai/agentii-investment-intelligence