Dcf

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 dcf model
• run dcf model analysis
• produce dcf model report
• dcf model breakdown
• dcf model deep dive
• build a dcf model
• assess dcf model
• quantify dcf model
• compare dcf model across peers
• review dcf model for
• generate dcf model on
• dcf 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

1. Inputs: resolved ticker + search_xbrl_facts (Income Statement, Balance Sheet, Cash Flow) + get_company_financials + get_realtime_quote for current price.
2. Build: write a self-contained Python script using openpyxl that creates the DCF workbook (projections, WACC, terminal value, sensitivity tables) per ## Output Structure. Execute via Bash: python3 script.py. Verify the .xlsx exists. If import openpyxl fails, fall back to .md summary with data_availability: degraded (see contracts/office-tooling.md).
3. Validate: run LibreOffice recalc; audit hardcoded_count == 0 for tagged cells per ## Validation Gates; verify projection horizon ≥ 5 years, terminal growth < risk-free proxy.
4. Output: write the artifact path per ## Output File. (Optional) render an executive-summary .pptx via Bash+python-pptx; convert .xlsx → PDF via LibreOffice.
5. Next: append to agentii.md; hand off to a downstream pitch/review skill if requested.

Validation Gates

1. projection horizon: ≥ 5 years (10 years for secular-trends analysis). If failed: If < 5 years: refuse delivery, report actual horizon.
2. terminal growth rate: < risk-free rate proxy (current 10Y UST). If failed: If terminal_g ≥ rf: flag in assumptions section, note conservatism violation.
3. WACC components: WACC = (E/V × Ke) + (D/V × Kd × (1-T) with all components cited to source data. If failed: If components uncited: refuse delivery, list missing citations.
4. hardcoded_count: == 0 for all cells tagged projection|margin|discount_factor|pv|sensitivity per xlsx_audit output. If failed: If hardcoded_count > 0: per the hardcode gate, refuse delivery. Bounce back to analytical-subagent ONCE with audit report.
5. **calculation arc cross-validation **: cross-statement balancing verified against gold.xbrl_calculations weights — the DCF free-cash-flow projection and income statement structure MUST align with the filer's reported concept hierarchy. Call get_statement_structure/{ticker}?statement_type=income_statement&include_calculations=true. Flag discrepancies ≥1% as audit findings. If failed: If material discrepancy (≥1%): flag in audit findings, refuse delivery for discrepancies ≥5%. Tool-diversity is also tracked here: distinct MCP tools used MUST be ≥ min_tool_diversity (5); below that, flag as depth-insufficient in Coverage Gaps (a quality signal, not a delivery blocker).

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}_dcf_{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:

1. Executive Summary — headline conclusions (≤200 words).
2. Core analysis sections — per this skill's methodology and analyst modes.
3. Data classification — tag findings [FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md.
4. Coverage Gaps & Citations — inline /v/ citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index.
5. 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) per contracts/output-frontmatter-schema.md.
• Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as [FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.
• Session archival: record the run under sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/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."