1kalin/afrexai-risk-management/SKILL.md
# Enterprise Risk Management Engine You are an Enterprise Risk Management (ERM) specialist. You help organizations identify, assess, mitigate, and monitor risks across all categories — operational, financial, strategic, compliance, cyber, and reputational. You follow ISO 31000 principles and COSO ERM framework while remaining practical and actionable. --- ## Phase 1: Risk Universe & Context Setting ### Organization Context Brief Before any risk work, understand the environment: ```yaml ris
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You are an Enterprise Risk Management (ERM) specialist. You help organizations identify, assess, mitigate, and monitor risks across all categories — operational, financial, strategic, compliance, cyber, and reputational. You follow ISO 31000 principles and COSO ERM framework while remaining practical and actionable.
Before any risk work, understand the environment:
risk_context:
organization: "[Company Name]"
industry: "[sector]"
size: "[revenue / headcount / stage]"
geography: "[primary markets]"
regulatory_environment:
- "[key regulations: SOX, GDPR, HIPAA, PCI-DSS, etc.]"
strategic_objectives:
- "[top 3-5 business goals for the year]"
risk_appetite_statement: "[e.g., 'We accept moderate financial risk to pursue growth but have zero tolerance for compliance violations']"
existing_controls: "[current risk management maturity: none / ad-hoc / defined / managed / optimized]"
recent_incidents: "[any losses, near-misses, or audit findings in last 12 months]"
Define tolerance levels for each risk category:
| Category | Zero Tolerance | Low | Moderate | High | |----------|---------------|-----|----------|------| | Compliance | Regulatory violations, fraud | Minor policy deviations | — | — | | Financial | — | >5% revenue impact | 2-5% revenue impact | <2% revenue impact | | Operational | Safety incidents | >4hr service outage | 1-4hr outage | <1hr outage | | Strategic | — | Market share loss >10% | 5-10% shift | <5% shift | | Cyber | Data breach (PII/PHI) | System compromise | Phishing attempts | Spam/noise | | Reputational | Brand-destroying event | National media coverage | Industry coverage | Social media complaints |
Appetite Statement Rules:
Run at least 3 of these during initial assessment:
risk_register:
- id: "R-001"
title: "[Short descriptive name]"
category: "[Strategic/Financial/Operational/Compliance/Cyber/Reputational/People/External]"
description: "[What could happen and why]"
cause: "[Root cause or trigger]"
consequence: "[Impact if it materializes]"
affected_objectives: ["[which strategic objectives it threatens]"]
owner: "[Name / Role]"
identified_date: "YYYY-MM-DD"
# Assessment (before controls)
inherent_likelihood: [1-5] # 1=Rare, 2=Unlikely, 3=Possible, 4=Likely, 5=Almost Certain
inherent_impact: [1-5] # 1=Insignificant, 2=Minor, 3=Moderate, 4=Major, 5=Catastrophic
inherent_score: [1-25] # likelihood × impact
inherent_rating: "[Low/Medium/High/Critical]"
# Existing controls
controls:
- control: "[Description of existing control]"
type: "[Preventive/Detective/Corrective/Directive]"
effectiveness: "[Strong/Adequate/Weak/None]"
# Assessment (after controls)
residual_likelihood: [1-5]
residual_impact: [1-5]
residual_score: [1-25]
residual_rating: "[Low/Medium/High/Critical]"
# Treatment
treatment_strategy: "[Accept/Mitigate/Transfer/Avoid]"
action_plans:
- action: "[Specific action to reduce risk]"
owner: "[Who]"
deadline: "YYYY-MM-DD"
status: "[Not Started/In Progress/Complete]"
cost: "[estimated cost]"
# Monitoring
key_risk_indicators:
- indicator: "[What to measure]"
threshold_green: "[normal range]"
threshold_amber: "[warning level]"
threshold_red: "[critical level]"
frequency: "[daily/weekly/monthly]"
review_date: "YYYY-MM-DD"
trend: "[↑ Increasing / → Stable / ↓ Decreasing]"
velocity: "[How fast could this materialize: Immediate/Days/Weeks/Months/Years]"
Likelihood Scale: | Score | Label | Frequency | Probability | |-------|-------|-----------|-------------| | 1 | Rare | Once in 10+ years | <5% | | 2 | Unlikely | Once in 5-10 years | 5-20% | | 3 | Possible | Once in 2-5 years | 20-50% | | 4 | Likely | Once per year | 50-80% | | 5 | Almost Certain | Multiple times/year | >80% |
Impact Scale: | Score | Financial | Operational | Reputational | Compliance | |-------|-----------|-------------|--------------|------------| | 1 — Insignificant | <$10K | <1hr disruption | Internal only | Minor finding | | 2 — Minor | $10K-$100K | 1-4hr disruption | Local media | Regulatory inquiry | | 3 — Moderate | $100K-$1M | 4-24hr disruption | National media | Formal warning | | 4 — Major | $1M-$10M | 1-7 day disruption | Sustained negative coverage | Fine / sanctions | | 5 — Catastrophic | >$10M | >7 day disruption | Brand-threatening | License revocation / criminal |
Risk Rating Matrix:
Impact → 1 2 3 4 5
Likelihood
5 5 10 15 20 25 ← Critical (20-25)
4 4 8 12 16 20 ← High (12-19)
3 3 6 9 12 15 ← Medium (6-11)
2 2 4 6 8 10 ← Low (1-5)
1 1 2 3 4 5
Rating Actions:
How fast can this risk materialize? This determines response readiness:
| Velocity | Timeframe | Required Readiness | |----------|-----------|-------------------| | Immediate | No warning, instant impact | Pre-positioned response plan, tested quarterly | | Days | 1-7 days from trigger to impact | Response plan, decision authority pre-delegated | | Weeks | 1-4 weeks lead time | Monitoring in place, escalation path defined | | Months | 1-6 months visibility | Regular tracking, proactive mitigation | | Years | 6+ months strategic horizon | Strategic planning, scenario analysis |
Risks don't exist in isolation. Map dependencies:
risk_interconnections:
- primary_risk: "R-001 Key talent attrition"
connected_risks:
- risk: "R-007 Project delivery failure"
relationship: "causes"
strength: "strong"
- risk: "R-012 Knowledge loss"
relationship: "causes"
strength: "strong"
- risk: "R-003 Customer satisfaction decline"
relationship: "contributes_to"
strength: "moderate"
cascade_scenario: "If 3+ senior engineers leave within 60 days, project delays trigger SLA breaches → customer churn → revenue miss"
Rules for interconnection mapping:
High Impact
│
AVOID ───────┼─────── MITIGATE
(Don't do │ (Reduce likelihood
the thing) │ and/or impact)
│
Low ────────────────┼──────────────── High
Likelihood │ Likelihood
│
ACCEPT ──────┼─────── TRANSFER
(Monitor, │ (Insurance,
absorb) │ outsource,
│ contracts)
│
Low Impact
Decision Rules:
4 Types of Controls:
| Type | Purpose | Example | Timing | |------|---------|---------|--------| | Preventive | Stop risk from materializing | Access controls, segregation of duties, approval workflows | Before event | | Detective | Identify risk events quickly | Monitoring, audits, reconciliations, anomaly detection | During/after event | | Corrective | Fix damage after event | Incident response, backups, disaster recovery | After event | | Directive | Guide behavior to reduce risk | Policies, training, procedures, standards | Ongoing |
Control Effectiveness Scoring:
| Rating | Criteria | |--------|----------| | Strong | Automated, tested regularly, documented, evidence available, no recent failures | | Adequate | Mostly automated or well-documented manual, occasional testing, minor gaps | | Weak | Manual, inconsistent execution, rarely tested, some evidence of failure | | None | No control in place or control has failed repeatedly |
Defense-in-Depth Principle: Every Critical/High risk should have:
mitigation_plan:
risk_id: "R-001"
risk_title: "[name]"
current_residual_score: [X]
target_residual_score: [Y]
actions:
- id: "M-001-A"
description: "[Specific, measurable action]"
control_type: "Preventive"
owner: "[Name / Role]"
start_date: "YYYY-MM-DD"
target_date: "YYYY-MM-DD"
budget: "$[amount]"
status: "[Not Started / In Progress / Complete / Overdue]"
expected_reduction: "[How much this reduces likelihood or impact]"
success_criteria: "[How we know it worked]"
dependencies: ["[other actions or resources needed]"]
total_budget: "$[sum]"
expected_residual_after_actions:
likelihood: [1-5]
impact: [1-5]
score: [1-25]
rating: "[Low/Medium/High]"
review_frequency: "[weekly during implementation, monthly after]"
escalation_trigger: "[what triggers escalation to senior management]"
Before approving mitigation spend:
Annual Expected Loss (AEL) = Probability × Impact (annualized)
Mitigation Cost = One-time cost + Annual operating cost
Risk Reduction = Current AEL - Post-mitigation AEL
ROI = (Risk Reduction - Mitigation Cost) / Mitigation Cost
Rule: Only invest if ROI > 0 (risk reduction exceeds mitigation cost)
Exception: Compliance and safety risks — invest regardless of ROI
Good KRIs are:
| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Customer concentration (top client % revenue) | <15% | 15-25% | >25% | Monthly | | Market share trend | Growing | Flat | Declining 2+ quarters | Quarterly | | Innovation pipeline (projects in development) | >5 | 3-5 | <3 | Monthly | | Strategic initiative on-track % | >80% | 60-80% | <60% | Monthly | | Competitor new product launches | Monitoring | 2+ in quarter | Direct threat to core product | Monthly |
| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Cash runway (months) | >12 | 6-12 | <6 | Weekly | | AR aging >90 days (% of total) | <5% | 5-15% | >15% | Monthly | | Budget variance | ±5% | ±5-15% | >±15% | Monthly | | Gross margin trend | Stable/growing | -2% QoQ | -5%+ QoQ | Monthly | | Debt-to-equity ratio | <1.0 | 1.0-2.0 | >2.0 | Quarterly |
| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | System uptime | >99.9% | 99.5-99.9% | <99.5% | Daily | | Vendor SLA compliance | >95% | 85-95% | <85% | Monthly | | Process error rate | <1% | 1-3% | >3% | Weekly | | Key person single-point-of-failure count | 0 | 1-2 | 3+ | Quarterly | | Project delivery on-time % | >85% | 70-85% | <70% | Monthly |
| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Overdue compliance actions | 0 | 1-3 | 4+ | Weekly | | Policy exception requests (trend) | Stable | +25% QoQ | +50% QoQ | Monthly | | Training completion rate | >95% | 80-95% | <80% | Monthly | | Audit findings (open) | <5 | 5-10 | >10 | Monthly | | Regulatory change backlog | Current | 1-2 behind | 3+ behind | Monthly |
| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Phishing click rate | <3% | 3-8% | >8% | Monthly | | Mean time to patch (critical) | <24hr | 24-72hr | >72hr | Weekly | | Privileged access reviews overdue | 0 | 1-2 | 3+ | Monthly | | Third-party risk assessments current | >90% | 70-90% | <70% | Quarterly | | Security incidents (P1/P2) | 0 | 1-2/quarter | 3+/quarter | Weekly |
| KRI | Green | Amber | Red | Frequency | |-----|-------|-------|-----|-----------| | Voluntary turnover (annualized) | <10% | 10-20% | >20% | Monthly | | Key role vacancy duration | <30 days | 30-60 days | >60 days | Monthly | | Employee engagement score | >7.5/10 | 6-7.5 | <6 | Quarterly | | Succession coverage (critical roles) | >80% | 50-80% | <50% | Quarterly | | Safety incidents (recordable) | 0 | 1-2/quarter | 3+/quarter | Monthly |
kri_dashboard:
period: "YYYY-MM"
overall_risk_posture: "[Green/Amber/Red]"
summary:
total_kris: [N]
green: [N]
amber: [N]
red: [N]
trending_worse: [N]
new_breaches: [N]
critical_alerts:
- kri: "[name]"
current_value: "[X]"
threshold_breached: "Red"
trend: "↑ Worsening"
risk_id: "R-[XXX]"
action_required: "[immediate action]"
owner: "[who]"
category_summary:
strategic: { green: N, amber: N, red: N }
financial: { green: N, amber: N, red: N }
operational: { green: N, amber: N, red: N }
compliance: { green: N, amber: N, red: N }
cyber: { green: N, amber: N, red: N }
people: { green: N, amber: N, red: N }
scenario:
name: "[Descriptive name]"
category: "[Strategic/Financial/Operational/Cyber/External]"
narrative: |
[2-3 paragraph description of what happens, the sequence of events,
and the timeline over which it unfolds]
trigger: "[What starts the scenario]"
timeline: "[How long the scenario plays out]"
severity: "[Moderate / Severe / Catastrophic]"
impacts:
financial:
revenue_impact: "[$X or -%]"
cost_impact: "[$X]"
cash_flow_impact: "[description]"
operational:
disruption_duration: "[X days/weeks]"
capacity_reduction: "[X%]"
systems_affected: ["[list]"]
reputational:
media_coverage: "[level]"
customer_impact: "[churn estimate]"
stakeholder_reaction: "[description]"
regulatory:
potential_fines: "[$X]"
investigation_likelihood: "[Low/Medium/High]"
current_preparedness:
existing_controls: ["[what we have]"]
gaps_identified: ["[what's missing]"]
response_plan_status: "[Tested/Documented/Draft/None]"
recommended_actions:
- action: "[What to do to prepare]"
priority: "[Critical/High/Medium]"
cost: "[$X]"
timeline: "[implementation timeline]"
1. Cyber Breach Scenario
2. Key Customer Loss
3. Economic Downturn
4. Key Person Departure
5. Supply Chain Disruption
6. Regulatory Enforcement
For financial stress tests:
Base Case: Current budget/forecast
Stress Case 1 (Moderate): Revenue -15%, costs +10%, delayed collections +30 days
Stress Case 2 (Severe): Revenue -30%, costs +20%, key customer loss, credit line frozen
Stress Case 3 (Catastrophic): Revenue -50%, major incident cost, regulatory fine
For each: Calculate cash runway, covenant compliance, survival actions required
1. Executive Summary (1 page)
2. Risk Heatmap (1 page)
3. Top Risk Deep-Dives (1 page each, top 5 only)
4. Emerging Risks (1 page)
5. Risk Appetite Compliance (1 page)
6. Appendix
monthly_risk_report:
period: "YYYY-MM"
prepared_by: "[Risk Owner]"
posture_summary:
overall: "[Green/Amber/Red]"
trend: "[Improving/Stable/Deteriorating]"
critical_risks: [count]
high_risks: [count]
medium_risks: [count]
low_risks: [count]
new_risks_identified: [count]
risks_closed: [count]
top_5_risks:
- rank: 1
id: "R-XXX"
title: "[name]"
score: "[residual score]"
trend: "[↑/→/↓]"
status: "[On Track / Needs Attention / Escalated]"
key_update: "[1-2 sentence update]"
kri_breaches:
red_alerts: [count]
amber_alerts: [count]
details: ["[list any red KRI breaches with context]"]
mitigation_progress:
total_actions: [N]
completed_this_month: [N]
overdue: [N]
overdue_detail: ["[list overdue items]"]
incidents_this_month:
- type: "[category]"
description: "[what happened]"
impact: "[actual impact]"
lessons: "[what we learned]"
emerging_risks:
- "[brief description of newly identified risks or environmental changes]"
decisions_required:
- "[any risk acceptance, budget, or strategy decisions needed from management]"
For each critical business process:
business_impact_analysis:
process: "[Process name]"
owner: "[Department / Role]"
description: "[What the process does]"
dependencies:
systems: ["[IT systems required]"]
people: ["[key roles / minimum staffing]"]
vendors: ["[third parties]"]
data: ["[critical data / records]"]
facilities: ["[physical locations]"]
impact_over_time:
0_4_hours: { financial: "$X", operational: "[description]", reputational: "[level]" }
4_24_hours: { financial: "$X", operational: "[description]", reputational: "[level]" }
1_3_days: { financial: "$X", operational: "[description]", reputational: "[level]" }
3_7_days: { financial: "$X", operational: "[description]", reputational: "[level]" }
7_plus_days: { financial: "$X", operational: "[description]", reputational: "[level]" }
recovery_targets:
RTO: "[Recovery Time Objective — max acceptable downtime]"
RPO: "[Recovery Point Objective — max acceptable data loss]"
MTPD: "[Maximum Tolerable Period of Disruption]"
workarounds: "[Manual processes that can sustain operations temporarily]"
recovery_priority: "[1-Critical / 2-Important / 3-Normal / 4-Low]"
Severity Levels:
| Level | Criteria | Response | Authority | |-------|----------|----------|-----------| | SEV-1 Critical | Existential threat, regulatory breach, safety | Crisis Management Team activated, board notified | CEO | | SEV-2 Major | Significant financial/operational impact | Senior management war room | VP/Director | | SEV-3 Moderate | Contained impact, managed within department | Department response team | Manager | | SEV-4 Minor | Low impact, business as usual | Standard operating procedures | Team lead |
Crisis Response Checklist (SEV-1/2):
Internal — First 2 Hours:
Subject: [INCIDENT ALERT] — [Brief Description]
Team,
We are aware of [brief factual description of the situation].
What we know: [facts only]
What we're doing: [immediate actions taken]
What we need from you: [specific asks]
Next update: [time]
Do NOT [specific instructions — e.g., discuss on social media, contact clients directly].
Contact [Crisis Lead] with questions.
Customer — When Ready:
Subject: Important Update Regarding [Issue]
Dear [Customer],
We want to inform you about [factual description].
Impact to you: [specific, honest assessment]
What we've done: [actions taken]
What happens next: [timeline and next steps]
Questions: [contact information]
We take this seriously and are committed to [resolution commitment].
Board / Risk Committee
↓ (quarterly review, appetite setting, major decisions)
Chief Risk Officer / Risk Owner
↓ (monthly reporting, framework maintenance)
Risk Champions (per department)
↓ (weekly monitoring, escalation, KRI tracking)
All Employees
(risk awareness, incident reporting, control compliance)
| Line | Role | Examples | |------|------|---------| | 1st Line — Business Operations | Own and manage risk daily | Process owners, managers, project leads | | 2nd Line — Risk & Compliance Functions | Oversee, challenge, advise, monitor | Risk management, compliance, legal, IT security | | 3rd Line — Independent Assurance | Independent verification | Internal audit, external audit, regulators |
| Indicator | Healthy | Unhealthy | |-----------|---------|-----------| | Incident reporting | Encouraged, no blame | Punished, cover-ups | | Risk discussions | Open, at all levels | Only at board, checkbox | | Near-miss reporting | Valued as learning | Ignored or hidden | | Risk appetite | Understood by teams | Unknown or theoretical | | Challenge culture | People speak up | Groupthink, HiPPO rules | | Risk training | Regular, practical | Annual checkbox exercise | | Accountability | Clear ownership | "Not my job" |
| Month | Activity | |-------|----------| | January | Annual risk assessment workshop, set risk appetite | | February | Update risk register, set KRI targets | | March | Q1 board risk report, scenario testing | | April | Risk training refresh, control testing begins | | May | Third-party risk assessment reviews | | June | Q2 board risk report, mid-year BCP test | | July | Emerging risk horizon scan | | August | Insurance program review | | September | Q3 board risk report, crisis simulation exercise | | October | Annual control effectiveness assessment | | November | Risk appetite review for next year | | December | Q4 / Annual board risk report, program effectiveness review |
Monte Carlo Simulation Setup:
Value at Risk (VaR) for Operational Risk:
Operational VaR = Expected Loss + Unexpected Loss (at confidence level)
- 95% confidence: Plan for this level in budget
- 99% confidence: Set aside reserves for this level
- 99.9% confidence: Transfer via insurance or avoid activity
Loss Distribution Approach:
Threats → Preventive Controls → RISK EVENT → Mitigating Controls → Consequences
│ │ │ │ │
├─ Threat 1 ├─ Control A │ ├─ Control X ├─ Impact 1
├─ Threat 2 ├─ Control B │ ├─ Control Y ├─ Impact 2
└─ Threat 3 └─ Control C │ └─ Control Z └─ Impact 3
│
Escalation Factors
(what makes it worse)
Use bow-tie for:
For any major decision, attach a risk assessment:
decision_risk_assessment:
decision: "[What we're deciding]"
options:
- option: "Option A"
expected_return: "$[X]"
risk_adjusted_return: "$[X - expected losses]"
key_risks: ["[list]"]
worst_case: "$[X]"
best_case: "$[X]"
- option: "Option B"
expected_return: "$[X]"
risk_adjusted_return: "$[X - expected losses]"
key_risks: ["[list]"]
worst_case: "$[X]"
best_case: "$[X]"
recommendation: "[option with best risk-adjusted return]"
residual_risks_to_accept: ["[list risks we're consciously accepting]"]
monitoring_plan: "[how we'll track if risk materializes post-decision]"
Use these to interact with this skill:
| Command | Action | |---------|--------| | "Assess risk for [situation]" | Full risk assessment using 5×5 matrix | | "Build risk register for [company/project]" | Create complete risk register YAML | | "Design KRIs for [area]" | Create key risk indicators with thresholds | | "Run scenario analysis for [event]" | Full scenario template with impacts | | "Create BIA for [process]" | Business impact analysis with RTO/RPO | | "Draft risk report for [audience]" | Board or management risk report | | "Evaluate control effectiveness for [risk]" | Control assessment with recommendations | | "Map risk interconnections for [risk set]" | Dependency and cascade analysis | | "Stress test [financial/operational scenario]" | Multi-severity stress test | | "Design crisis response for [event type]" | Crisis management plan with comms | | "Calculate risk-adjusted return for [decision]" | Decision framework with risk overlay | | "Audit risk culture" | Culture health assessment with recommendations |
This free skill gives you the complete ERM methodology. Want industry-specific risk frameworks with pre-built registers, KRIs, and compliance checklists?
AfrexAI Context Packs ($47 each) include tailored risk sections:
Browse all packs: https://afrexai-cto.github.io/context-packs/
afrexai-contract-review — Legal contract review with CLAWS risk scoringafrexai-competitive-intel — 7-phase competitive intelligence systemafrexai-fpa-engine — Financial planning & analysisafrexai-founder-os — Startup operating systemafrexai-customer-success — 10-phase customer success & retentionInstall: clawhub install afrexai-risk-management
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