# Benchmark Tracking Error

> Pulls daily benchmark indices, calculates active share tracking error, decomposes performance style, and dispatches drift alerts.

- Skill: `knuckles-team/benchmark-tracking-error` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add knuckles-team/benchmark-tracking-error`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/benchmark-tracking-error/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Knuckles-Team (https://skillmd.com/u/knuckles-team)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/knuckles-team/benchmark-tracking-error

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# Benchmark Tracking Error Workflow

**CONCEPT:EE-011**

Pulls daily benchmark indices, calculates active share tracking error, decomposes performance style, and dispatches drift alerts.

## Steps

### Step 1: Benchmark Returns Collector
**Agent**: `data-fetcher`
**Tools**: `graph_query, sx_search`

Fetches daily rolling returns logs for active holdings and indices.
Expected: `benchmark-price-returns`

### Step 2: Tracking Error Calculator [depends_on: benchmark-returns-collector]
**Agent**: `compute-engine`
**Tools**: `graph_analyze`

Computes rolling tracking error and active share indexes.
Expected: `rolling-tracking-errors`

### Step 3: Return Attribution Engine [depends_on: tracking-error-calculator]
**Agent**: `risk-assessor`
**Tools**: `graph_query, graph_analyze`

Decomposes portfolio returns into asset selection and style attribution.
Expected: `style-returns-attribution`

### Step 4: Drift Alert Dispatch [depends_on: return-attribution-engine]
**Agent**: `report-generator`
**Tools**: `graph_write, document_tools`

Checks target bounds and dispatches alerts on breach.
Expected: `portfolio-drift-verdicts`

### Step 5: KG Persistence [depends_on: drift-alert-dispatch]
**Agent**: `report-generator`
**Tools**: `graph_write`

Persist workflow results as nodes and edges in the Knowledge Graph.
Create appropriate typed nodes with metadata and link to existing domain entities.

## Output
- Benchmark Tracking Error results persisted in KG
- Structured report (MD/PDF)
- Audit trail with timestamps and agent attributions

## Execution

Run this workflow as a dependency-ordered DAG. Steps with no unmet `depends_on` run in parallel; dependents run after their prerequisites complete.

- **Run first (in parallel):** Step 1 — Benchmark Returns Collector
- **After level 0:** Step 2 — Tracking Error Calculator
- **After level 1:** Step 3 — Return Attribution Engine
- **After level 2:** Step 4 — Drift Alert Dispatch
- **After level 3:** Step 5 — KG Persistence

**Execution:** If graph-os is reachable, offload the whole DAG via `graph_orchestrate action=execute_workflow` (or the `kg-delegate` skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet `depends_on` in parallel, then their dependents.