dcf-modellisted

## Preflight !curl -s -o /dev/null -w "%{http_code}" --max-time 2 https://mcp.agentii.ai/mcp/health 2>/dev/null || echo "UNREACHABLE" **Agent Call Tracing**: The first tool you call will return a `_run_id` in its result. On every subsequent tool call, include HTTP header `X-Agentii-Trace: agent={skill_name}; parent={caller_name}; instance={instance_label}`. The MCP server will inject run_id, depth, and user_id automatically. When spawning parallel sub-agents of the same type, assign each a unique instance label (e.g., equity-research-1, equity-research-2). See `contracts/x-agentii-trace-header.md` for the full contract. ## 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 Follow the retrieval strategy decision tree in `retrieval.md`. This skill us