How do I install the Risk Dashboard Refresh skill?

Run npx skillmds@latest add knuckles-team/risk-dashboard-refresh in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Risk Dashboard Refresh safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Risk Dashboard Refresh?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Risk Dashboard Refresh free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Risk Dashboard Refresh?

Knuckles-Team (@knuckles-team) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Risk Dashboard Refresh by knuckles-team

Name: Risk Dashboard Refresh
Author: Knuckles-Team

File contents

Risk Dashboard Refresh Workflow

CONCEPT:EE-011

Pulls daily assets returns, computes Value-at-Risk parameters, extracts maximum drawdown ratios, and updates dashboard.

Steps

Step 1: Portfolio Returns Fetcher

Agent: data-fetcher Tools: graph_query, sx_search

Fetches daily rolling returns logs for active holdings. Expected: historical-daily-returns

Step 2: Var Calculator [depends_on: portfolio-returns-fetcher]

Agent: compute-engine Tools: graph_analyze

Computes Parametric and Monte Carlo Value-at-Risk (VaR) parameters. Expected: value-at-risk-metrics

Step 3: Drawdown Tracker [depends_on: portfolio-returns-fetcher]

Agent: risk-assessor Tools: graph_query, graph_analyze

Measures rolling drawdown, Sharpe, and Sortino statistics. Expected: drawdown-and-performance-stats

Step 4: Dashboard Synthesis [depends_on: var-calculator, drawdown-tracker]

Agent: report-generator Tools: graph_write, document_tools

Compiles metrics and updates dashboard files. Expected: fused-risk-tearsheet

Step 5: KG Persistence [depends_on: dashboard-synthesis]

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

Risk Dashboard Refresh 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 — Portfolio Returns Fetcher
After level 0: Step 2 — Var Calculator; Step 3 — Drawdown Tracker
After level 1: Step 4 — Dashboard Synthesis
After level 2: 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.

---name: risk-dashboard-refreshdescription: Pulls daily assets returns, computes Value-at-Risk parameters, extracts maximum drawdown ratios, and updates dashboard.---# Risk Dashboard Refresh Workflow**CONCEPT:EE-011**Pulls daily assets returns, computes Value-at-Risk parameters, extracts maximum drawdown ratios, and updates dashboard.## Steps### Step 1: Portfolio Returns Fetcher**Agent**: `data-fetcher`**Tools**: `graph_query, sx_search`Fetches daily rolling returns logs for active holdings.Expected: `historical-daily-returns`### Step 2: Var Calculator [depends_on: portfolio-returns-fetcher]**Agent**: `compute-engine`**Tools**: `graph_analyze`Computes Parametric and Monte Carlo Value-at-Risk (VaR) parameters.Expected: `value-at-risk-metrics`### Step 3: Drawdown Tracker [depends_on: portfolio-returns-fetcher]**Agent**: `risk-assessor`**Tools**: `graph_query, graph_analyze`Measures rolling drawdown, Sharpe, and Sortino statistics.Expected: `drawdown-and-performance-stats`### Step 4: Dashboard Synthesis [depends_on: var-calculator, drawdown-tracker]**Agent**: `report-generator`**Tools**: `graph_write, document_tools`Compiles metrics and updates dashboard files.Expected: `fused-risk-tearsheet`### Step 5: KG Persistence [depends_on: dashboard-synthesis]**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- Risk Dashboard Refresh results persisted in KG- Structured report (MD/PDF)- Audit trail with timestamps and agent attributions## ExecutionRun 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 — Portfolio Returns Fetcher- **After level 0:** Step 2 — Var Calculator; Step 3 — Drawdown Tracker- **After level 1:** Step 4 — Dashboard Synthesis- **After level 2:** 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.

Frequently asked questions

Risk Dashboard Refresh