adversarial
Run comprehensive adversarial evaluation suite with attack patterns and stress testing
Skill by Ankh-Studio
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ankh-studio-adversarial
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/adversarial
What's inside
- Skill name
adversarial- Description
- Run comprehensive adversarial evaluation suite with attack patterns and stress testing
- License
- MIT
- Instructions
- 106 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Adversarial Execute comprehensive adversarial evaluation suite with attack patterns, edge cases, and stress testing to identify vulnerabilities before production deployment. ## Process 1. **Attack Vector Generation**: Create malicious/edge-case artifacts targeting specific rubric weaknesses 2. **Pattern Analysis**: Identify systematic scoring biases and exploitation opportunities 3. **Stress Testing**: Apply extreme inputs, boundary conditions, and adversarial prompts 4. **Vulnerability Assessment**: Rate and categorize discovered weaknesses 5. **Hardening Recommendations**: Generate specific fixes and mitigations ## Attack Patterns ### Scoring Manipulation - Score inflation through keyword stuffing - Boundary exploitation for maximum/minimum scores - Pattern matching to trigger specific scoring paths - Context manipulation to bias evaluation ### Edge Case Generation - Empty/minimal content testing - Maximum length/complexity artifacts - Ambiguous or contradictory instructions - Cross-domain boundary testing ### Adversarial Prompts - Jailbreak attempts and bypass techniques - Role-playing to influence evaluation - Prompt injection vulnerabilities - Social engineering tactics ## Stress Testing ### Performance Stress - Concurrent evaluation limits - Memory usage thresholds - Processing time boundaries - Resource exhaustion scenarios ### Quality Stress - Extreme quality variations - Mixed signal artifacts - Contradictory requirements - Ambiguous evaluation criteria ## Usage ### Full Suite ````bash /adversarial --full-suite --target rubrics/ /adversarial --comprehensive --report detailed ```bash ### Targeted Testing ```bash /adversarial --attack-pattern scoring --rubric prompt.md /adversarial --stress-test performance --skill eval-batch ```bash ### Quick Validation ```bash /adversarial --smoke-test --critical-only /adversarial --regression --baseline v1.0 ```bash ## Output - Vulnerability severity matrix - Attack success rates by pattern - Performance degradation metrics - Hardening priority recommendations - Release readiness assessment ## Release Gating ### Quality Gates - Zero critical vulnerabilities - <5% high-severity issues - Performance degradation <10% - Coverage >95% for attack patterns ### Thresholds - Minimum adversarial score: 3.5/4.0 - Maximum false positive rate: 2% - Minimum stress test pass rate: 90% - Maximum regression impact: 5% Failures trigger automatic remediation workflows and block release progression. Execute before any production deployment to ensure robustness against adversarial attacks. ````
From Ankh-Studio/copilot-enterprise-eval-plugin, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 13, 2026 (7 months ago)
- Last release
- Mar 14, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
adversarial skill. Agent Mart. https://agentmart.dev/skills/ankh-studio-adversarial (last updated 2026-10-24)