Akshay
Community@maruakshay · India
Just a guy trying to make an impact through code
Agent Skills by Akshay
Showing 58 vetted skills indexed across 1 GitHub repositories.
semantic-kernel-tool-security
Audit Semantic Kernel plugin registration and planner argument handling for security risks.
synthetic-data-security
Detect privacy leaks, bias, and quality issues in synthetic training data pipelines.
multiagent-coordination-attacks
Detect and mitigate Byzantine coordination attacks in multi-agent AI systems.
tool-schema-validation-security
Validate tool schemas against signed registries and per-role allowlists.
ai-content-authenticity
Audit AI-generated content provenance and C2PA manifest authenticity verification.
output-fingerprinting-detection
Detect model identity signals and stylometric cues in AI-generated outputs.
openai-assistants-legacy-security
Identify and remediate legacy OpenAI Assistants API integrations with per-user thread isolation.
ai-audit-logging
Capture AI interaction logs with a structured event schema.
model-caching-security
Audit model caching layers for cross-tenant leakage and cache poisoning risks.
indirect-prompt-injection
Label, filter, and isolate externally retrieved content to prevent indirect prompt injection.
llm-dos-resource-exhaustion
Detect and mitigate DoS and resource-exhaustion vulnerabilities in LLM deployments.
crewai-agent-security
Audit CrewAI agent systems for role-boundary violations and prompt-injection risks.
openai-responses-tool-file-security
Review OpenAI Responses API integrations for unsafe hosted-tool exposure and authorization gaps.
litellm-proxy-security
Audits LiteLLM proxy deployments for API key leakage and implements hardening steps.
agentic-trust-boundaries
Enforce typed handoff contracts and per-edge authorization checks in multi-agent workflows.
ai-governance-and-incident-response
Align AI governance with versioned model, prompt, and policy state for incident recovery.
ai-red-team-program
Establish a continuous AI red team program with attack scenario libraries and disclosure workflows.
data-leakage-prevention
Map data flows and identify leakage risks across AI systems.
fine-tuning-security
Detect data-poisoning and backdoor risks in fine-tuning pipelines.
haystack-rag-security
Audits Haystack pipelines for router, document-store, and leakage security issues.
secrets-in-prompts-detection
Detect and redact credentials in prompts, RAG data, and tool schemas.
ai-privacy-pii-compliance
Identify lawful bases, assess PII, and document DPIAs for AI systems.
model-inversion-membership-inference
Audit ML models for inversion and membership inference risks.
model-supply-chain-security
Verify model artifact provenance and integrity across deployment pipelines.