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Dcf

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DCF valuation model, discounted cash flow, intrinsic value, WACC calculation, terminal value, free cash flow projection, equity value per share, DCF sensitivity analysis, unlevered free cash flow, present value calculation, build a DCF

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  • Added September 1, 2026
ai-agentspythongobashapi

Works with

  • terminal
  • cli
  • api
  • mcp

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Scanned September 25, 2026

npx -y skills add agentii-ai/agentii-investment-intelligence --skill dcf --agent claude-code

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SKILL.md
---
name: dcf
multi_ticker_semantics: target_with_optional_peers
description: DCF valuation model, discounted cash flow, intrinsic value, WACC calculation, terminal value, free cash flow projection, equity value per share, DCF sensitivity analysis, unlevered free cash flow, present value calculation, build a DCF
temporal_scope:
 default_quarters: 4
 max_quarters: 12
 description: "Typical lookback: 4 quarters, max: 12"
allowed_tools:
 - search_companies
 - search_xbrl_facts
 - get_company_financials
 - get_company_profile
 - search_earnings_calendar
 - list_xbrl_concepts
 - search_documents
 - search_sec_filings
 - read_source_outline
 - read_source_deep_outline
 - read_source_pages
 - search_keyword_in_source
 - search_cross_period
 - batch_search
 - get_statement_structure
 - xlsx-read
retrieval_scope: unstructured_document_search
min_tool_diversity: 5
---

## Preflight


Run canonical pre-flight per `contracts/preflight.md`.

Include the `X-Agentii-Trace` header on every tool call per `contracts/x-agentii-trace-header.md` — carry the `_run_id` from your first tool result and name yourself (and your parent, if you were spawned).
## 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 and earnings call transcripts (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. For risk-free rate selection, ERP triangulation, beta de-levering/re-levering, industry betas, and cost of debt estimation, consult `references/cost-of-capital-methodology.md`. *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(accession_number)` (resolve the accession_number first). 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." |

Files in this skill

  • SKILL.md8 KB
  • references/formula-sheet.md280 B
  • references/institutional-defaults.md302 B
  • references/methodology.md1.8 KB
  • references/output-structure.md2 KB
  • references/tool-fallbacks.md1.8 KB
  • references/validation-checklist.md313 B

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