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Strategic Risk Prioritization

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THUYRan
strategic-risk-prioritization

When legal analysis yields multiple possible conclusions, risk points, or disputed issues, these risks must be systematically ranked by probability of occurrence and degree of impact so decision-makers can focus on the most critical risks and allocate resources rationally. Trigger this skill when: (1) legal due diligence finds multiple compliance risks that need ranking; (2) litigation strategy requires assessing likelihood and consequences of multiple adverse conclusions; (3) transaction structuring requires identifying and ordering key legal obstacles; (4) contract review finds multiple risk clauses that need modification priority; (5) regulatory compliance assessment requires graded management of multiple violation risks; (6) any scenario requiring strategic trade-offs among legal risks under limited resources.

Overview

PublisherTHUYRan
RepositoryLegal-Skills-Chinese
Skill namestrategic-risk-prioritization
Stars
876
Forks
97
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by THUYRan on GitHub. Read the source before you install it.

Installation

Install the Strategic Risk Prioritization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/strategic-risk-prioritization
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git /tmp/Legal-Skills-Chinese
mkdir -p .claude/skills
cp -r /tmp/Legal-Skills-Chinese/English/skills/strategic-risk-prioritization .claude/skills/strategic-risk-prioritization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategic Risk Prioritization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Strategic Risk Prioritization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Strategic Risk Prioritization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Chinese source (authoritative): ../../skills/strategic-risk-prioritization/SKILL.md

Strategic-Level Risk Prioritization

Rank multiple possible conclusions by probability and impact to support resource allocation and strategic trade-offs in legal decision-making.

Overview Table

ItemContent
Capability nameStrategic-level risk prioritization
Capability typeComprehensive judgment (probability assessment × impact assessment × ranking decision)
InputMultiple identified legal risk points / possible conclusions / disputed issues
OutputPriority-ranked risk list with probability rating, impact rating, composite priority, and response suggestions
Upstream capabilitiesLegal element analysis, fact-finding, legal research, stakeholder identification
Downstream capabilitiesRisk-mitigation design, litigation strategy, compliance remediation planning
Core methodologyProbability-Impact Matrix + legal-context calibration
Applicable fieldsLitigation, compliance, M&A, contracts, IP, criminal defense, and all other fields

Legal Disclaimer

⚠️ Important

  1. Risk rankings produced by this skill are decision-support references, not final legal opinions. Probability assessments rest on available information and legal analysis; actual outcomes are affected by judicial discretion, evidence changes, policy shifts, and other uncertainties.
  2. Rankings should be dynamically adjusted for case facts, governing law of the forum, parties’ risk preferences, and commercial goals.
  3. Highly complex rankings or those involving major interests should be reviewed by senior counsel or a specialist team.
  4. Probability assessment is not precise prediction; all ratings should carry confidence labels and uncertainty notes.

I. Core Concepts

1.1 What Is Strategic-Level Risk Prioritization

Strategic-level risk prioritization is a structured decision method whose core logic is:

Risk priority = f(probability of occurrence, degree of impact, time urgency, controllability)

In a legal context, for each identified risk point systematically assess:

  • How likely is it? (probability dimension)
  • If it occurs, how severe are the consequences? (impact dimension)
  • When might it occur? (time dimension)
  • To what extent can we control or mitigate it? (controllability dimension)

1.2 Legal Specifics of Probability Assessment

Legal-risk probability differs from statistical probability:

SpecificityExplanationExample
Normative probabilityLogical inference from legal rules, not frequency statisticsLikelihood a contract clause is void depends on whether legal elements are met
Discretionary uncertaintyJudge/arbitrator discretion makes outcomes uncertainWhether liquidated damages are "excessive" varies by judge
Information asymmetryCounterparty’s evidence and strategy unknownCounterparty may hold key evidence not yet disclosed
Dynamic evolutionLegal environment and policy orientation keep changingNew judicial interpretations may change existing adjudicative rules
Multi-factor couplingRisks may correlate and stackOne compliance risk may trigger a chain reaction

1.3 Multidimensional Impact Framework

Legal-risk impact is not limited to direct economic loss:

Degree of impact = direct economic loss
          + indirect economic loss (opportunity cost, business interruption)
          + legal consequences (administrative penalties, criminal liability, loss of qualifications)
          + reputational impact (brand harm, market trust)
          + strategic impact (deal failure, blocked market access)
          + compliance cascade effects (triggering other regulatory reviews)

1.4 Key Term Definitions

TermDefinition
Risk ItemAn identified matter that may lead to adverse legal consequences
Possible OutcomeA judgment a decision-maker or regulator may make on a legal issue
Probability RatingGraded assessment of likelihood of occurrence
Impact RatingGraded assessment of severity of consequences
Risk ScoreCombined quantified result of probability and impact ratings
Risk ToleranceUpper bound of risk the decision-maker is willing to accept
Residual RiskRisk remaining after mitigation measures

II. Complete Workflow

Phase 1: Risk Identification and Aggregation (Input Preparation)

Goal: Ensure all relevant risk points are fully identified and clearly described.

Step 1.1: Collect Risk Inventory

From prior analysis, aggregate all identified risk points; each should include:

  • Risk ID (unique)
  • Risk name (concise)
  • Risk description (nature, source, and trigger conditions)
  • Legal basis involved (provisions, judicial interpretations, cases, etc.)
  • Relevant factual basis (key facts supporting the risk judgment)
  • Stakeholders (subjects affected by the risk)
Step 1.2: Deduplicate and Merge
  • Merge substantively identical risks stated differently
  • Check containment (A is a subset of B); decide whether to split or merge
  • Keep granularity appropriate: not too broad (unevaluable) or too fine (losing strategic view)
Step 1.3: Risk Classification

Preliminary classification dimensions:

DimensionCategories
Legal fieldContract, tort, compliance, IP, labor, criminal, etc.
Risk natureInterpretation risk, fact-finding risk, procedural risk, enforcement risk, policy-change risk
Time stageImmediate; short-term (within 1 year); medium-term (1–3 years); long-term (3+ years)
ControllabilityInternally controllable; partially controllable; externally uncontrollable

Phase 2: Probability Assessment

Goal: Systematically assess likelihood for each risk point.

Step 2.1: Establish Probability Rating Standards

Five-level probability system:

LevelLabelProbability rangeLegal-context descriptionTypical situation
P5Almost certain>85%Clear law, clear facts, almost no room for disputeClear contract terms, no exemption, breach facts solid
P4Likely60%–85%Mainstream adjudicative view supports, but minority dissent existsMost cases support; some courts differ
P3Possible40%–60%Application of law disputed; outcome uncertainVague law; inconsistent courts
P2Unlikely15%–40%Minority view supports; cannot fully excludeFew cases support; mainstream opposite
P1Extremely unlikely<15%Law clearly excludes, or no factual basisLimitation expired with no interruption
Step 2.2: Item-by-Item Probability Assessment

For each risk point, consider in turn:

A. Certainty of legal rules

  • Are relevant provisions clear? Multiple interpretations?
  • Authoritative judicial interpretations or guiding cases?
  • Legal gaps or conflicts?

B. Adequacy of factual basis

  • Is evidence supporting the risk adequate?
  • Are key facts disputed?
  • Is the evidence chain complete? How is the burden of proof allocated?

C. Adjudicative tendency

  • What is the mainstream view in the field?
  • Tendency of the forum court/arbitral institution?
  • Recent trend changes?

D. Counterparty behavior forecast

  • Does the counterparty have motive and ability to assert the risk?
  • How might its litigation strategy affect realization of the risk?

E. External environment

  • Regulatory tightening or loosening trends?
  • Public opinion that may affect adjudication?
  • Industry-wide systemic risk?
Step 2.3: Probability Calibration

After preliminary assessment:

  1. Anchoring check: Overweighted because identified first?
  2. Availability-bias check: Overweighted because of a recent similar case?
  3. Overconfidence check: Too sure of legal analysis, understating uncertainty?
  4. Correlation check: Do risks correlate (one raises another’s probability)?

Phase 3: Impact Assessment

Goal: Multidimensional assessment of consequence severity if each risk materializes.

Step 3.1: Establish Impact Rating Standards

Five-level impact system:

LevelLabelImpact descriptionEconomic-loss referenceLegal-consequence reference
I5CatastrophicThreatens organizational survival or core business>50% of subject matter or >20% of annual revenueLicense revocation / criminal liability / compulsory liquidation
I4MajorSeverely harms core interests or strategic goals20%–50% of subject matter or 5%–20% of annual revenueMajor administrative penalty / business restriction / high damages
I3ModerateSignificant but bearable loss5%–20% of subject matter or 1%–5% of annual revenueOrdinary administrative penalty / partial damages / contract modification
I2MinorLimited loss; core interests unaffected1%–5% of subject matter or <1% of annual revenueWarning / deadline remediation / small damages
I1NegligibleAlmost no substantive loss<1% of subject matterOral warning / internal remediation only

Note: Economic-loss references should adjust for case subject matter and party economic scale.

Step 3.2: Multidimensional Impact Assessment

Assess each risk on six dimensions:

DimensionAssessment focusSuggested weight
Direct economic lossDamages, fines, litigation costs30%
Indirect economic lossBusiness interruption, opportunity cost, higher financing cost20%
Legal consequencesAdministrative penalties, criminal liability, qualifications, contract validity20%
Reputational impactBrand harm, customer loss, market trust decline15%
Strategic impactDeal failure, blocked market access, weakened competitive position10%
Compliance cascadeTriggering other regulatory reviews, series of suits5%

Weight note: General suggestion only; adjust for scenario and party priorities (e.g., listed companies may raise reputation weight above 25%).

Step 3.3: Special Impact Considerations
  • Worst Case: Under most adverse assumptions, how far can impact go?
  • Most Likely Case: Under reasonable expectations, what is the median impact?
  • Cascade analysis: Does realization trigger other risks? Domino effects?
  • Irreversibility: Remediable later, or irreversible once it occurs?

Phase 4: Composite Ranking and Matrix Construction

Goal: Combine probability and impact into a composite priority ranking.

Step 4.1: Calculate Risk Score

Base risk score:

Base risk score = Probability rating (P) × Impact rating (I)
Score rangePriorityColorDisposition
20–25Critical🔴 RedImmediate action; highest priority; needs senior decision
12–19High🟠 OrangePreferential handling; dedicated response plan
6–11Medium🟡 YellowRoutine management; risk monitoring list
3–5Low🟢 GreenAccept risk; periodic review
1–2Negligible⚪ WhiteRecord for reference; no dedicated action
Step 4.2: Introduce Adjustment Factors

Base score may not capture all strategic considerations; introduce:

A. Time-urgency factor (T)

Time windowCoefficient
Immediate (<1 month)×1.5
Short-term (1–6 months)×1.2
Medium-term (6–12 months)×1.0
Long-term (>12 months)×0.8

B. Controllability factor (C)

ControllabilityCoefficient
Fully uncontrollable×1.3
Partially controllable×1.0
Highly controllable×0.7

C. Irreversibility factor (R)

ReversibilityCoefficient
Fully irreversible×1.3
Partially reversible×1.0
Highly reversible×0.8

Adjusted risk score:

Adjusted risk score = Base risk score × T × C × R
Step 4.3: Build Risk Matrix

Plot probability-impact matrix and mark all risk points:

Impact →    I1       I2       I3       I4       I5
Probability ↓  Negligible  Minor   Moderate   Major  Catastrophic
─────────────────────────────────────────────────
P5      ⚪5     🟡10    🟠15    🔴20    🔴25
Almost certain

P4      ⚪4     🟡8     🟠12    🟠16    🔴20
Likely

P3      ⚪3     🟢6     🟡9     🟠12    🟠15
Possible

P2      ⚪2     🟢4     🟢6     🟡8     🟡10
Unlikely

P1      ⚪1     ⚪2     ⚪3     🟢4     🟢5
Extremely unlikely
Step 4.4: Final Ranking
  1. Rank all risk points by adjusted score high to low
  2. For equal scores, prioritize by:
    • Higher impact rating (prefer overestimating impact)
    • Higher time urgency
    • Higher irreversibility
  3. Label correlations among risks (trigger chains)

Phase 5: Validation and Output

Goal: Validate reasonableness of ranking; produce structured output.

Step 5.1: Ranking Reasonableness Checks
  • Intuition check: Roughly consistent with experienced practitioners’ intuition? Major deviations need re-examination.
  • Extreme check: Highest and lowest risks reasonable? Clear over/underestimation?
  • Correlation check: Related risks properly reflected?
  • Sensitivity check: Would changing a key assumption significantly change ranking? If so, label sensitivity.
  • Stakeholder check: All stakeholders’ concerns considered?
Step 5.2: Sensitivity Analysis

For top-ranked risks:

  • If probability rating up/down one level, does ranking change?
  • If impact rating up/down one level, does ranking change?
  • Which risks are most sensitive to rating changes? (need special attention and ongoing monitoring)
Step 5.3: Generate Output Report

Produce the full risk-priority ranking report per the output templates below.


III. Common Fields and Legal Sources

Legal fieldTypical risk typesKey sources for probabilitySpecial impact considerations
Contract disputesValidity, breach liability, termination rightsCivil Code Contracts Book; related judicial interpretations; guiding casesLiquidated-damages adjustment range; lost-profits findings
Corporate governanceResolution validity; shareholder rights; D&O liabilityCompany Law and judicial interpretations; articles of associationCascade from set-aside resolutions; personal liability
Intellectual propertyInfringement findings; invalidity; damages quantumPatent/Trademark/Copyright Laws and judicial interpretationsInjunction effects; punitive damages; market-share loss
Labor & employmentUnlawful termination; social-insurance compliance; non-competeLabor Contract Law and judicial interpretations; local rulesCollective-incident risk; administrative penalties; reputation
Administrative complianceAdministrative penalties; licenses; data complianceIndustry regulations; Administrative Penalty Law; Data Security Law; PIPLLoss of qualifications; business shutdown; cross-border compliance cascade
Criminal riskEntity crime; executive criminal liabilityCriminal Law and judicial interpretations; criminal policyPersonal liberty; enterprise survival; social impact
M&A transactionsClosing conditions; reps & warranties; antitrust reviewSecurities Law; Anti-Monopoly Law; related rulesDeal failure; price adjustment; integration risk
Cross-border lawJurisdiction; choice of law; judgment enforcementTreaties; conflict rules; foreign lawCross-border enforcement difficulty; diplomatic factors; FX risk

IV. Verification and Screening Rules

4.1 Inclusion Screening

A matter should enter risk ranking if all of the following are met:

Inclusion = all of:
  (1) Clear legal basis or reasonable legal reasoning supports existence of the risk
  (2) Identifiable trigger conditions or scenarios
  (3) Occurrence would produce assessable adverse consequences
  (4) Substantial nexus with the current decision matter

4.2 Exclusion Rules

Exclude or handle separately:

  • Purely hypothetical risks: Theoretical possibilities with no factual basis
  • Fully mitigated risks: Eliminated by effective measures (record as "handled")
  • Out-of-scope risks: No substantial nexus with current decision
  • Double-counted risks: Sub-risks already covered by other items (unless separate assessment needed)

4.3 Rating Consistency Rules

RuleExplanation
Like-kind consistencySimilar risks’ probability ratings should not differ by more than 2 levels without explanation
Legal-logic consistencyIf risk A is a precondition of risk B, then P(A) ≥ P(B)
Impact-progression consistencyIf A’s consequences include B’s, then I(A) ≥ I(B)
Reverse checkLowest-ranked risks truly need no preferential action; highest truly most urgent

V. Output Format Templates

Template A: Risk Priority Ranking Master Table

markdown
# Legal Risk Priority Ranking Report

## Basic Information
- Project/case name: [name]
- Assessment date: [date]
- Assessor: [name/team]
- Scope: [description]
- Total risk points: [number]

## Risk Priority Ranking Master Table

| Priority | Risk ID | Risk name | Prob (P) | Impact (I) | Base | Adjusted | Level | Related risks |
|--------|---------|---------|---------|---------|--------|--------|------|---------|
| 1 | R-XX | [name] | P? | I? | ?? | ??.? | 🔴 Critical | R-XX |
| 2 | R-XX | [name] | P? | I? | ?? | ??.? | 🟠 High | — |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |

## Risk Matrix Chart
[Insert probability-impact matrix with risk positions]

## Key Findings Summary
1. [Core conclusion on highest-priority risk]
2. [Items needing immediate action]
3. [Items needing ongoing monitoring]

Template B: Single-Risk Detail Card

markdown
## Risk Assessment Card: [Risk ID] [Risk name]

### Risk Description
[Nature, source, and trigger conditions]

### Legal Basis
- Statutory provisions: [specific articles]
- Judicial interpretations: [if any]
- Related cases: [if any]

### Probability Assessment
- **Rating: P[?] ([label])**
- Assessment basis:
  - Certainty of legal rules: [analysis]
  - Adequacy of factual basis: [analysis]
  - Adjudicative tendency: [analysis]
  - Counterparty behavior forecast: [analysis]
- Confidence: [High/Medium/Low]
- Uncertainty note: [key uncertain factors]

### Impact Assessment
- **Rating: I[?] ([label])**
- By dimension:
  | Dimension | Assessment | Note |
  |------|------|------|
  | Direct economic loss | [amount range] | [note] |
  | Indirect economic loss | [amount range] | [note] |
  | Legal consequences | [description] | [note] |
  | Reputational impact | [degree] | [note] |
  | Strategic impact | [degree] | [note] |
  | Cascade effects | [description] | [note] |

### Adjustment Factors
- Time urgency: [coefficient] — [note]
- Controllability: [coefficient] — [note]
- Irreversibility: [coefficient] — [note]

### Composite Assessment
- Base risk score: [P×I]
- Adjusted risk score: [result]
- **Priority level: [level]**

### Preliminary Response Suggestions
- Suggested strategy: [avoid / mitigate / transfer / accept]
- Concrete measures: [brief]
- Suggested owner: [role]
- Time node: [deadline]

VI. Confidence Labeling System

6.1 Overall Assessment Confidence

ConfidenceLabelConditionsLabeling
High★★★Clear law + clear facts + adequate case support + complete information[Confidence: High ★★★]
Medium★★☆Basically clear law + basically clear facts + some case reference + basically complete information[Confidence: Medium ★★☆]
Low★☆☆Vague law / disputed facts / insufficient cases / missing information[Confidence: Low ★☆☆]

6.2 Single-Rating Confidence

Each probability and impact rating should carry a confidence label:

Probability rating: P4 (Likely) [Confidence: Medium ★★☆]
  → Source of uncertainty: Whether counterparty holds key evidence still unclear
  → If counterparty holds favorable evidence, probability may drop to P3

Impact rating: I4 (Major) [Confidence: High ★★★]
  → Economic-loss calculation well founded; legal consequences clear

6.3 Confidence and Decision-Making

ConfidenceDecision suggestion
HighMay formulate strategy directly on ranking
MediumFurther verify key assumptions before final decision
LowRanking for reference only; supplement information and reassess, or adopt conservative strategy

VII. Common Errors and Prevention

7.1 Fatal Error Table

IDFatal errorConsequencePrevention
E1Omitting key risk pointsUnidentified risk may be the greatest threatMultidimensional identification checklists; cross-review; "red team" thinking
E2Confusing probability and impactMistaking "severe consequences" for "likely to occur"Strict stepwise assessment: probability first, then impact, independently
E3Ignoring risk correlationsUnderestimating systemic risk and cascadesDraw risk-correlation maps; identify trigger chains and common root causes
E4Static assessment never updatedOutdated ranking misleads decisionsPeriodic review; immediate update on key events
E5Over-quantification creating false precisionDecision-makers treat ranking as precise predictionClearly label confidence and uncertainty; use ranges, not point values
E6Ignoring parties’ risk preferencesRanking divorced from actual needsConfirm risk tolerance and priority concerns before ranking
E7Labeling all risks "High"Ranking loses meaning; cannot guide resource allocationForce distribution: Critical ≤20%; require clear differentiation

7.2 Common Traps

TrapManifestationCorrection
AnchoringFirst-assessed risk becomes reference anchorRandomize assessment order; assess independently then compare
Availability biasRecent cases overweightedSystematically retrieve historical data, not memory alone
Confirmation biasSeeking only evidence supporting initial judgmentActively seek contrary evidence; devil’s advocate
GroupthinkTeam converges on dominant viewIndependent assessment first; anonymous scoring
Ignoring base ratesIgnoring general occurrence rates in similar casesConsult statistics or similar-case big data first, then adjust for the case
Zero-risk illusionBelieving measures eliminate risk completelyAlways assess residual risk; there is no zero risk
Single-dimension overweightFocusing only on economic lossMandate multidimensional impact framework

VIII. Special Scenario Handling

8.1 Ranking When Information Is Severely Insufficient

Scenario: Key facts unclear, application of law uncertain, no case reference.

Handling:

  1. Apply conservatism: when uncertain, take higher probability and impact ratings
  2. Clearly label [Insufficient information] and state missing key information
  3. Provide conditional rankings: if fact X holds, ranking is A; if not, ranking is B
  4. Make "supplement information" itself the highest-priority action item

8.2 Ranking When Risks Are Strongly Correlated

Scenario: Occurrence of risk A significantly raises probability of risk B (trigger chain).

Handling:

  1. Draw a risk-correlation map with trigger relations and directions
  2. Compute joint risk scores reflecting stacked effects
  3. Raise priority of root risks in the trigger chain
  4. Explicitly label correlations so decision-makers do not view risks in isolation

8.3 Ranking When Parties’ Risk Preferences Are Extreme

Scenario: Extreme risk aversion (e.g., listed company facing regulatory review) or extreme risk preference (e.g., startup pursuing rapid expansion).

Handling:

  1. Provide objective ranking (standard methodology) and subjective ranking (adjusted for party preference)
  2. For risk-averse parties: raise impact weight; use worst-case analysis
  3. For risk-preferring parties: raise probability weight; focus on most-likely case
  4. Regardless of preference, fatal risks (criminal liability, loss of qualifications) always marked highest priority

8.4 Cross-Jurisdiction Risk Ranking

Scenario: Legal risks across multiple jurisdictions need unified ranking.

Handling:

  1. Independently assess probability and impact within each jurisdiction
  2. Unify impact standards (overall party interests as baseline)
  3. Add enforceability across jurisdictions as an extra adjustment factor
  4. Label confidence differences across jurisdictions

8.5 Rapid Ranking for Urgent Decisions

Scenario: Extremely limited time; full assessment impossible.

Handling:

  1. Use simplified three-level assessment: High/Medium/Low for both probability and impact
  2. Focus on top three risks; list others as "to be assessed"
  3. Preferentially assess irreversible and time-sensitive risks
  4. Clearly label as "rapid assessment version"; follow with full assessment update

IX. Quality Checklist

After completing risk priority ranking, check item by item:

A. Completeness
  • All identified risk points included
  • Each has probability and impact ratings
  • Each rating has clear assessment basis
  • Correlations among risks considered
B. Consistency
  • Like-kind risks internally consistent
  • Probability and impact assessed independently (not confused)
  • Adjustment-factor standards uniform
  • Rating standards consistent throughout
C. Reasonableness
  • Ranking passes intuition check
  • Critical risks ≤20% of total
  • Sufficient differentiation (not all clustered at one level)
  • Sensitivity analysis done; key assumptions identified
D. Usability
  • Output clear; decision-makers can grasp quickly
  • Each risk has preliminary response suggestions
  • Confidence labels complete
  • Uncertainties and limitations clearly stated
E. Timeliness
  • Based on latest law and judicial practice
  • Recent policy changes and adjudicative trends considered
  • Review time nodes set
  • Conditions triggering reassessment clarified

X. Complete Examples

Example 1: Simple Scenario — Risk Ranking in a Contract Dispute

Background

Company Jia (buyer) and Company Yi (seller) signed an equipment purchase contract for RMB 5 million. After delivery, Jia found quality problems and intends to assert rights against Yi. Counsel identified the following risk points needing priority ranking.

Identified Risk Points
IDRisk nameRisk description
R-01Quality-objection period riskJia raised quality objection only 6 months after receipt; contract provides 30-day objection period
R-02Adverse quality-appraisal riskAppraisal may find equipment conforms to contractual technical standards
R-03Liquidated damages reduced as excessiveContract liquidated damages 30% of contract amount (RMB 1.5 million); court may reduce
R-04Jurisdiction-objection riskYi may object to jurisdiction, causing transfer
Probability Assessment

R-01: Quality-objection period risk

  • Legal analysis: Civil Code Art. 621 — buyer must notify within inspection period; failure treated as conforming quality. Contract provides 30 days; Jia raised after 6 months.
  • Adjudicative tendency: Most courts strictly apply contractual inspection periods; some may relax if period unreasonably short.
  • Probability: P4 (Likely, 70%) [Confidence: Medium ★★☆]
  • Uncertainty: Whether court finds 30 days reasonable, and whether Jia has reasonable grounds for delayed notice.

R-02: Adverse quality-appraisal risk

  • Fact analysis: Jia claims performance parameters unmet, but equipment used 6 months; wear may affect appraisal.
  • Probability: P3 (Possible, 50%) [Confidence: Low ★☆☆]
  • Uncertainty: Highly dependent on appraisal institution and method; currently unpredictable.

R-03: Liquidated damages reduced as excessive

  • Legal analysis: Civil Code Art. 585 and related judicial interpretations — liquidated damages generally "excessive" if over actual loss by 30%. Contract 30% damages likely reduced if actual loss lower.
  • Adjudicative tendency: Courts commonly reduce excessive liquidated damages sua sponte or on application.
  • Probability: P4 (Likely, 75%) [Confidence: High ★★★]

R-04: Jurisdiction-objection risk

  • Legal analysis: Contract designates Jia’s place court; clear and valid.
  • Probability: P2 (Unlikely, 20%) [Confidence: High ★★★]
  • Note: Yi may object but success unlikely; main impact is time delay.
Impact Assessment
Risk IDDirect economicIndirect economicLegal consequencesReputationStrategyCascadeComposite
R-01Lose all claims (RMB 5M)Equipment replacement costLose caseLowLowNoneI5 (Catastrophic)
R-02Lose quality-claim basisAppraisal feesEvidentiary disadvantageLowLowAffects R-01I4 (Major)
R-03Liquidated damages reduced ~RMB 1MNonePartial winLowLowNoneI3 (Moderate)
R-04Higher litigation costs3–6 month delayProcedural delayLowLowNoneI2 (Minor)
Composite Ranking
PriorityIDRisk namePIBaseTCRAdjustedLevel
1R-01Quality-objection periodP4I5201.00.71.318.2🔴 Critical
2R-02Adverse quality appraisalP3I4121.21.01.014.4🟠 High
3R-03Liquidated-damages reductionP4I3121.01.00.89.6🟡 Medium
4R-04Jurisdiction objectionP2I241.21.00.83.8🟢 Low
Key Conclusions
  1. 🔴 Highest priority (R-01): Objection-period issue is the greatest risk. If the court finds Jia failed to notify within the period, all quality claims are lost. Immediately collect reasonable grounds for delayed notice (latent defects, Yi’s repair promises, etc.) and study whether the 30-day period is unreasonable. Controllability "partially controllable" (0.7) because Jia can improve position with supplementary evidence.
  2. 🟠 High priority (R-02): Appraisal outcome directly shapes the case and correlates with R-01 (finding nonconformity may help the objection-period argument). Apply early for appraisal and prepare materials thoroughly.
  3. 🟡 Medium priority (R-03): Liquidated-damages reduction is likely but limited in impact (reduces part of recovery, not all) and is normal litigation risk. Prepare adequate evidence of actual loss.
  4. 🟢 Low priority (R-04): Jurisdiction objection unlikely to succeed; even if successful, only causes delay. No dedicated response; handle routinely.

Overall confidence: Medium ★★☆

Main uncertainties: R-02 appraisal unpredictable; R-01 outcome highly dependent on individual judicial discretion.


Example 2: Complex Scenario — Risk Ranking in a Tech-Company Acquisition

Background

Group A (listed company) proposes to acquire 100% of Company B (AI startup) for RMB 800 million cash. Diligence identified the following risk points needing strategic priority ranking to support Group A’s board acquisition decision.

Identified Risk Points
IDRisk nameRisk description
R-01Core patent invalidity1 of B’s 3 core patents under competitor invalidity challenge
R-02Data-compliance riskB processes large volumes of personal information with imperfect compliance; risk of violating PIPL
R-03Core-team attritionNon-competes of CTO and 3 key engineers soon expire; may leave after acquisition
R-04Antitrust review riskCombined share in a specific niche market may exceed review thresholds
R-05IP ownership disputeSome algorithms developed by a former employee while employed; employee claims partial IP ownership
R-06Government-subsidy clawbackB received RMB 20 million local tech subsidy; equity change may trigger clawback
R-07Related-party transaction complianceOne independent director of A also advises B; may constitute a related-party transaction
R-08Earn-out / valuation-bet disputeAmbiguous earn-out wording in acquisition agreement may cause later disputes
Probability Assessment
IDProbabilityCore basisConfidence
R-01P3 (Possible, 45%)Invalidity petition accepted; novelty dispute; outcome uncertain★★☆
R-02P4 (Likely, 70%)Diligence found multiple defects: no user consent, no impact assessment, cross-border transfer not filed★★★
R-03P4 (Likely, 65%)Non-competes expire in 6 months; active headhunters; CTO contact signs★★☆
R-04P3 (Possible, 40%)Market definition disputed; narrow definition would exceed thresholds★☆☆
R-05P2 (Unlikely, 25%)Former employee signed IP assignment, but clauses defective★★☆
R-06P4 (Likely, 75%)Subsidy agreement expressly requires clawback on major equity-structure change★★★
R-07P5 (Almost certain, 90%)Facts clear; related-party transaction elements clearly met★★★
R-08P3 (Possible, 50%)Calculation of "net profit" in earn-out not clearly defined★★☆
Impact Assessment
IDDirect economicIndirect economicLegal consequencesReputationStrategyCascadeComposite
R-01Patent value loss ~RMB 150MWeakened tech barrierPatent invalidMediumHigh (core asset devalued)Affects valuationI5 (Catastrophic)
R-02Fines up to RMB 50M or 5% of annual revenueRemediation costAdmin penalty + order to remediateHigh (listed co.)High (AI business constrained)May trigger CSRC attentionI4 (Major)
R-03Tech capability declineProject delay, customer lossNo direct legal consequenceMediumHigh (core competitiveness lost)Affects earn-outI4 (Major)
R-04Deal may be prohibitedTime and opportunity costDeal terminationHighExtreme (deal fails)Full impactI5 (Catastrophic)
R-05Litigation damages + license feesRestricted tech useIP disputeLowMediumAffects R-01I3 (Moderate)
R-06Clawback RMB 20MNoneAdministrative clawbackLowLowNoneI2 (Minor)
R-07Deal may be challengedShareholder-suit riskDisclosure violationHigh (listed co.)MediumTriggers CSRC reviewI4 (Major)
R-08Earn-out dispute ~RMB 100–200MManagement distractionArbitration/litigationMediumMediumNoneI3 (Moderate)
Composite Ranking
PriorityIDRisk namePIBaseTCRAdjustedLevel
1R-01Core patent invalidityP3I5151.21.31.330.4🔴 Critical
2R-04Antitrust reviewP3I5151.51.31.338.0🔴 Critical
3R-02Data complianceP4I4161.20.71.013.4🟠 High
4R-03Core-team attritionP4I4161.51.01.024.0🔴 Critical
5R-07Related-party transactionP5I4201.50.71.021.0🔴 Critical
6R-08Earn-out disputeP3I390.80.70.84.0🟢 Low
7R-05IP ownership disputeP2I361.01.01.06.0🟡 Medium
8R-06Subsidy clawbackP4I281.00.70.84.5🟢 Low

Ranking note: Although R-04 has the highest adjusted score (38.0), given R-01’s fundamental impact on deal core value and R-04’s low-confidence market-definition uncertainty, R-01 ranks first. R-04 ranks second because failed antitrust review terminates the deal outright.

Risk Correlation Map
R-01 (patent invalidity) ──→ affects valuation ──→ R-08 (earn-out dispute)
       ↑
R-05 (ownership dispute) ──→ may aggravate patent risk

R-03 (team attrition) ──→ affects performance ──→ R-08 (earn-out dispute)

R-07 (related-party) ──→ triggers regulatory review ──→ may affect R-04 (antitrust)

R-02 (data compliance) ──→ admin penalty ──→ listed-company reputation ──→ may trigger CSRC attention
Strategic Recommendations

🔴 Must resolve before deal (gate conditions):

  1. R-01 Core patent invalidity

    • Strategy: Make invalidity outcome a closing condition; or deduct expected loss from valuation (~150M × 45% = RMB 67.5M)
    • Alternative: Require seller patent-validity reps and indemnities
    • Timing: Complete assessment before signing
  2. R-04 Antitrust review

    • Strategy: Engage antitrust counsel for pre-assessment; prepare favorable market-definition arguments; consider conditional filing (e.g., partial divestiture)
    • Alternative: If review risk too high, adjust structure (e.g., stepwise acquisition)
    • Timing: Pre-assessment before signing
  3. R-07 Related-party transaction

    • Strategy: Immediately require independent director to resign as B’s adviser or recuse from voting; fulfill listed-company related-party disclosure and approval procedures
    • Timing: Immediate

🟠 Focus controls during deal:

  1. R-03 Core-team attrition

    • Strategy: Key-person lock-up in acquisition agreement (3-year service + equity incentive); new non-compete and service agreements with CTO before closing
    • Timing: Synchronize at signing
  2. R-02 Data compliance

    • Strategy: Require B to start remediation before closing; compliance reps and indemnities; reserve remediation budget (~RMB 5–10M)
    • Timing: Start before closing; finish within 6 months after

🟡 Routine management:

  1. R-05 IP ownership — cover via reps and indemnities
  2. R-08 Earn-out dispute — clarify calculation before signing

🟢 Accept risk:

  1. R-06 Subsidy clawback — RMB 20M is 2.5% of RMB 800M deal; deduct directly from valuation

Overall confidence: Medium ★★☆

Main uncertainties: (1) R-01 invalidity outcome; (2) R-04 market definition highly uncertain; (3) R-03 true team intentions hard to fully know. Re-rank after key information on these three clarifies.

Sensitivity Analysis
Assumption changeRanking impactSuggestion
R-01 patent invalidated (P3→P5)R-01 adjusted score rises sharply; may become deal-killerMake patent validity a closing condition
R-04 market defined narrowly (P3→P4)R-04 becomes first priorityPre-communicate with antitrust authority
R-03 CTO clearly intends to leave (P4→P5)R-03 rises; correlates to R-08Immediately start talent lock-up talks
R-02 regulator opens investigation (P4→P5)R-02 rises to CriticalConsider pausing the deal

Appendix: Quick Reference Card

Five-Step Rapid Ranking (time-urgent scenarios)

Step 1: List all risk points (≤10)
Step 2: Quickly label each High/Medium/Low probability
Step 3: Quickly label each High/Medium/Low impact
Step 4: Rank: High P + High I > High I + Med P > High P + Med I > rest
Step 5: Label response suggestions and time nodes for top 3

Probability Assessment Quick Mnemonics

Clear law, clear facts → P5 (Almost certain)
Mainstream support, few dissent → P4 (Likely)
Each side holds ground, hard to predict → P3 (Possible)
Minority view hard to sustain → P2 (Unlikely)
No legal or factual basis → P1 (Extremely unlikely)

Impact Assessment Quick Mnemonics

Survival at stake, irreversible → I5 (Catastrophic)
Core interests heavily hit → I4 (Major)
Significant but bearable loss → I3 (Moderate)
Limited loss, no structural harm → I2 (Minor)
Almost no impact → I1 (Negligible)

Frequently asked questions

What does the Strategic Risk Prioritization AI skill do?

When legal analysis yields multiple possible conclusions, risk points, or disputed issues, these risks must be systematically ranked by probability of occurrence and degree of impact so decision-makers can focus on the most critical risks and allocate resources rationally. Trigger this skill when: (1) legal due diligence finds multiple compliance risks that need ranking; (2) litigation strategy requires assessing likelihood and consequences of multiple adverse conclusions; (3) transaction structuring requires identifying and ordering key legal obstacles; (4) contract review finds multiple r...

Why use Strategic Risk Prioritization on TypingMind?

Because you install it once and use it with any model. Strategic Risk Prioritization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Strategic Risk Prioritization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/strategic-risk-prioritization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Strategic Risk Prioritization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Strategic Risk Prioritization?

As many as you like. As long as a model supports skills, you can use Strategic Risk Prioritization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Strategic Risk Prioritization AI skill free?

It is published on GitHub by THUYRan. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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