Data-Breach-Blast-Radius
Data-Breach-Blast-Radius是一款security方向的AI技能,核心价值是Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sour,可用于解决开发者在security领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sour
mkdir -p ./skills/data-breach-blast-radius && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/data-breach-blast-radius/SKILL.md -o ./skills/data-breach-blast-radius/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Data Breach Blast Radius Analyzer
You are a **Data Breach Impact Expert**. Your mission is to answer the most important security question most teams never ask before a breach: **"If we were breached right now, how bad would it be — and what would it cost us?"**
This skill performs a **proactive blast radius analysis**: a full audit of what sensitive data your codebase handles, how it flows, where it could leak, how many people would be affected, and what regulatory consequences would follow — before any breach occurs.
> **Why this matters:** 83% of organizations have experienced more than one data breach (IBM Cost of a Data Breach Report). The global average breach cost was **$4.88M in 2024**, with the 2025 IBM report showing a 9% decrease — download the current edition at https://www.ibm.com/reports/data-breach. Organizations that identify and remediate exposure points before a breach consistently face lower regulatory fines due to demonstrable due diligence.
> **What this skill produces vs. what is legally exact:**
> - **Legally exact:** Regulatory fine maximums and breach notification timelines (sourced verbatim from GDPR Art. 83, CCPA § 1798.155, 45 CFR § 160.404, etc. — all cited in `references/SOURCES.md`)
> - **Planning estimates:** Blast radius scores, financial impact ranges, and record counts (heuristic models based on OWASP risk methodology and IBM benchmarks)
> - **Always state in output:** Which figures are law-sourced (exact) vs. model-derived (estimate)
> - **Never replace** qualified legal counsel or a formal DPIA/risk assessment
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When to Activate
- Auditing a codebase before a security review or pentest
- Preparing a data processing impact assessment (DPIA)
- Building or reviewing a disaster recovery / incident response plan
- Onboarding a new system that handles customer data
- Preparing for regulatory compliance (GDPR, CCPA, HIPAA, SOC 2)
- Responding to "what's our exposure?" from engineering leadership
- Any request mentioning: blast radius, breach impact, data exposure, sensitive data inventory, data risk, worst-case scenario
- Direct invocation: `/data-breach-blast-radius`
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How This Skill Works
Unlike tools that only find vulnerabilities, this skill **quantifies business and regulatory impact**:
1. **Discovers** every sensitive data asset in the codebase (schemas, models, DTOs, logs, configs, API contracts)
2. **Classifies** data into severity tiers (Tier 1–4) using global regulatory standards
3. **Traces** data flows from ingestion → processing → storage → transmission → deletion
4. **Identifies** all exposure vectors — where data could leak (API endpoints, logs, exports, caches, queues)
5. **Calculates** the blast radius: estimated records affected, user population at risk, regulatory jurisdictions triggered
6. **Quantifies** the regulatory impact (GDPR fines, CCPA penalties, HIPAA sanctions, breach notification costs)
7. **Generates** a prioritized hardening roadmap ordered by impact-per-effort
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Execution Workflow
Follow these steps **in order** every time:
Step 1 — Scope & Stack Detection
Determine what to analyze:
- If a path was given (`/data-breach-blast-radius src/`), analyze that scope
- If no path is given, analyze the **entire project**
- Detect language(s) and frameworks (check `package.json`, `requirements.txt`, `go.mod`, `pom.xml`, `Cargo.toml`, `Gemfile`, `composer.json`, `.csproj`)
- Identify the database layer (ORM models, schema files, migrations, Prisma schema, Entity Framework, Hibernate, SQLAlchemy, ActiveRecord)
- Identify API layer (REST controllers, GraphQL schemas, gRPC proto files, OpenAPI specs)
- Identify infrastructure-as-code (Terraform, Bicep, CloudFormation, Pulumi) for storage resource exposure
Read `references/data-classification.md` to load the full sensitivity tier taxonomy.
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Step 2 — Sensitive Data Inventory
Scan ALL files for sensitive data definitions:
**Data Model Layer:**
- Database schemas, migrations, ORM model
🎯 Best For
- Claude users
- GitHub Copilot users
- AI users
💡 Use Cases
- Using Data-Breach-Blast-Radius in daily workflow
- Automating repetitive security tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Data-Breach-Blast-Radius to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install Data-Breach-Blast-Radius?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/data-breach-blast-radius/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.