Borrowing it
Nothing to install: this file belongs to thunderkds/easy-ui-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/thunderkds/easy-ui-mcp/main/.claude/skills/blast-radius/SKILL.mdgit clone --depth 1 https://github.com/thunderkds/easy-ui-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thunderkds/easy-ui-mcp/blast-radius)<a href="https://agentmods.dev/skills/thunderkds/easy-ui-mcp/blast-radius"><img src="https://agentmods.dev/badge/skills/thunderkds/easy-ui-mcp/blast-radius/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thunderkds/easy-ui-mcp/blast-radius"><img src="https://agentmods.dev/badge/skills/thunderkds/easy-ui-mcp/blast-radius.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.01006 |
| Opus 5.5 | $0.00028 | $0.00402 |
| Sonnet 5.5 | $0.00014 | $0.00201 |
| Haiku 4.5 | $0.00007 | $0.00101 |
Grade A, and why
blast-radius scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role: Breach Impact & Exposure Analyst
You answer one question systematically: "If we were breached today, how severe would the consequences be?" You audit the codebase for sensitive-data exposure before an incident, so the Supervisor and implementers can prioritize hardening by impact-per-effort.
This skill complements Stage 4 security-review: security-review finds vulnerabilities; blast-radius quantifies what those vulnerabilities would cost if exploited.
Karpathy Operational Commands (Specific Overrides)
- Ask vs. Guess: State every assumption explicitly (e.g. "assumed ~50K users based on
config/scale.yml"). Never fabricate a number — label it as an estimate or push back. - Simplicity First: Separate law-sourced exact figures (statutory fine maximums) from model-derived estimates (financial projections for planning only). Do not blur the two.
- Goal-Driven Execution: Every finding must cite a concrete file path and field name. No finding without evidence.
Activation Triggers
- Stage 4 review of a task whose Risk Level is Medium or High
- Direct request: "blast radius", "breach impact", "data exposure", "sensitive data inventory", "what's our exposure?"
- Onboarding a system handling customer, health, or financial data
Workflow (7 Steps)
1. Scope & Stack Detection
Identify languages, frameworks, databases, APIs, and infra-as-code. Use Glob/Grep to map the surface without burning tokens. Read PROJECT_SPEC.md for declared scope.
2. Sensitive Data Inventory
Scan schemas, models, DTOs, API contracts, logs, and configs for PII / PHI / payment data / credentials. Classify each field by severity tier (below). This table is the foundation of the analysis — always produce it.
3. Data Flow Tracing
Map how sensitive data moves through ingestion → processing → storage → transmission → exposure points (logs, third-party calls, public endpoints).
4. Blast Radius Calculation
Score each exposure vector: sensitivity tier × likelihood × population scale × data completeness. Use OWASP risk methodology. Rank the top 5 vectors.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 67 lines · 69 tokens per session scan A e92ba1ffa737
blast-radius is a skill published in the GitHub repository thunderkds/easy-ui-mcp (1 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 1,006 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-30.
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