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mii-ai-security

Think like an attacker. Ship like a defender. — Open-source SKILL.md packs for hardening LLM systems: prompt injection, RAG security, tool execution, data leakage & governance. Framework-aware (LangCh

maruakshay/mii-ai-securitycommunitylistedunreviewed

Set up

Skills are installed by placing their folder where your agent loads skills.

The download comes from github.com/maruakshay/mii-ai-security itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 26, 2026

mii-ai-security

npm version npm downloads GitHub License: MIT

Security-focused SKILL.md packs for reviewing and hardening LLM systems.

Each skill is a self-contained review guide: a first principle, an attack mental model, a control lens table, named controls with Check/Action/Failure Mode sections, and a Quick Win. Fetch one, apply it to a codebase or design, ship the finding.

Quick Start

Install via npm: miii-security · Source: maruakshay/mii-ai-security

# Add a skill to your project (copies to .claude/skills/<name>/SKILL.md)
npx miii-security add rag-security

# List all available skills
npx miii-security list

# Print a skill to stdout
npx miii-security show fine-tuning-security

What's In Scope

58 skills across twelve buckets:

BucketCountCoverage
Base4Prompts, RAG, tools, system infrastructure
Companion9Memory, governance, leakage, agentic trust, multimodal, model supply chain, indirect injection, fine-tuning, embedding attacks
Framework14LangChain, LlamaIndex, Haystack, DSPy, Semantic Kernel, OpenAI APIs, AutoGen, CrewAI, llamafile, Ollama, LiteLLM, Guardrails AI, NeMo Guardrails
Attack surface5Red-teaming, jailbreak taxonomy, adversarial robustness, model inversion, federated learning
Runtime/deployment3Model watermarking, inference API abuse, KV cache security
Agentic/multi-agent3Memory poisoning, tool schema injection, HITL bypass
Data pipeline3Training data poisoning, dataset supply chain, synthetic data
Identity/authz2Agent identity, multi-tenant isolation
Evasion/detection3Content authenticity, output fingerprinting, AI social engineering
Emerging3LLM DoS, multi-agent coordination attacks, browser agent security
Infra/ops5MLOps pipelines, GPU infrastructure, model serving, containers, secrets detection
Compliance/governance4Audit logging, red team programs, third-party model risk, AI privacy/PII
Test & reference—Adversarial fixtures, severity guidance, OWASP/MITRE mappings

Skill List

Base

  • core-llm-prompt-security
  • rag-security
  • tool-use-execution-security
  • system-infrastructure-security

Companion

  • data-leakage-prevention
  • agentic-trust-boundaries
  • memory-security
  • model-supply-chain-security
  • indirect-prompt-injection
  • multimodal-security
  • ai-governance-and-incident-response
  • fine-tuning-security
  • embedding-attack-security

Framework subskills

  • langchain-rag-security
  • llamaindex-rag-security
  • haystack-rag-security
  • dspy-program-security
  • semantic-kernel-tool-security
  • openai-responses-tool-file-security
  • openai-assistants-legacy-security
  • autogen-multiagent-security
  • crewai-agent-security
  • llamafile-local-model-security
  • ollama-security
  • litellm-proxy-security
  • guardrails-ai-security
  • nemo-guardrails-security

Attack surface

  • prompt-injection-red-teaming
  • jailbreak-taxonomy
  • adversarial-robustness
  • model-inversion-membership-inference
  • federated-learning-security

Infra/ops

  • mlops-pipeline-security
  • gpu-infrastructure-security
  • model-serving-security
  • container-ai-workload-security
  • secrets-in-prompts-detection

Runtime/deployment

  • model-watermarking-fingerprinting
  • inference-api-abuse-prevention
  • model-caching-security

Agentic/multi-agent

  • agent-memory-poisoning
  • tool-schema-validation-security
  • human-in-the-loop-bypass

Data pipeline

  • training-data-poisoning
  • dataset-supply-chain-security
  • synthetic-data-security

Identity/authz

  • ai-agent-identity-authz
  • multi-tenant-model-isolation

Evasion/detection

  • ai-content-authenticity
  • output-fingerprinting-detection
  • ai-assisted-social-engineering

Emerging

  • llm-dos-resource-exhaustion
  • multiagent-coordination-attacks
  • browser-agent-security

Compliance/governance

  • ai-audit-logging
  • ai-red-team-program
  • third-party-model-risk
  • ai-privacy-pii-compliance

Recommended Starting Points

New to AI security review — start here:

  • core-llm-prompt-security — prompt injection and output validation
  • rag-security — retrieval poisoning and boundary enforcement
  • tool-use-execution-security — agent tool call authorization
  • ai-governance-and-incident-response — enterprise ops baseline

Add framework depth:

  • langchain-rag-security, llamaindex-rag-security, haystack-rag-security
  • autogen-multiagent-security, crewai-agent-security
  • ollama-security, litellm-proxy-security
  • guardrails-ai-security, nemo-guardrails-security

Running a red team exercise:

  • prompt-injection-red-teaming — methodology and CI integration
  • jailbreak-taxonomy — technique catalog and detection signatures
  • adversarial-robustness — input normalization and classifier hardening

Privacy and compliance review:

  • ai-privacy-pii-compliance — GDPR/CCPA, DPIAs, data subject rights
  • ai-audit-logging — tamper-proof event logging schema
  • third-party-model-risk — vendor DPA, behavioral monitoring, fallback

Repository Layout

skills/                      58 SKILL.md files, one directory each
references/                  severity-and-reporting, test-patterns, framework-mappings
tests/adversarial-fixtures/  12 JSON fixtures for prompt injection variants
red-team-scripts/
scripts/validate_repo.py     manifest consistency and fixture checker
skills.json                  machine-readable skill index

Repo Guarantees

  • skills.json is the machine-readable index — every skill registered with controls and severity
  • every skill has last_reviewed frontmatter
  • every control has a severity (critical, high, medium, low)
  • python3 scripts/validate_repo.py validates all 58 skills and fixtures

Key Docs

License

Released under the MIT License.

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