Adversarial Stress Testing
by yogsoth-ai · data-analytics · testing, skill
Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.
Source: https://github.com/yogsoth-ai/de-anthropocentric-research-engine
Install
git clone https://github.com/yogsoth-ai/de-anthropocentric-research-engineTags: testing, skill
⭐ 279 GitHub stars · Source: skillsdirectory
About data-analytics MCP servers and Claude skills
data-analytics MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Adversarial Stress Testing is one of hundreds of data-analytics entries indexed on Skiln. Browse the full data-analytics category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
Related data-analytics MCPs and skills
- Breakpoint Detection by yogsoth-ai
Test a claim at extreme parameter values and detect the precise point where it breaks down.
- Claim Refinement by yogsoth-ai
Propose a refined claim that survives counterexamples while preserving maximum explanatory power (Lakatos lemma-incorporation).
- Competitive Scenario by yogsoth-ai
What will competitors do? — Competitive method progress prediction and time window analysis
- Professional Development Session Designer by gabrielmoreira
Design a professional development session using adult learning principles with active teacher engagement. Use when planning INSET days, CPD workshops, or staff training sessions.
- Reflective Practice Prompt Generator by gabrielmoreira
Generate structured reflection prompts for a specific teaching experience or professional learning challenge. Use when debriefing lessons, journaling, or preparing for coaching conversations.
- Hinge Question Designer by gabrielmoreira
Design a diagnostic hinge question that reveals whether students understand enough to move on. Use when planning key checkpoints mid-lesson during explicit or direct instruction.
- Quant Statistics by gabrielmoreira
Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hypothesis testing.
- Yfinance by gabrielmoreira
yfinance global market data interface — retrieve OHLCV, financials, insider transactions, and institutional holdings for US stocks, HK stocks, ETFs, and indices via Yahoo Finance. Free, no API key required.
Frequently asked questions
How do I install Adversarial Stress Testing?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Adversarial Stress Testing?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Adversarial Stress Testing free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.