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secrets AI Agent Skills

Browse 7 skills related to secrets

keychain-credential-manager

376
a5c-aia5c-ai

Manage credentials in OS keychains across Windows, macOS, and Linux

securitycredentialskeychain+2
140 days ago

agent-security

14
0xAxiom0xAxiom

Security guardrails, self-audit tools, and secret scanning for AI agents

securitysecretsguardrails+2
139 days ago

testing-for-sensitive-data-exposure

2
mukul975mukul975

Identifying sensitive data exposure vulnerabilities including API key leakage, PII in responses, insecure storage, and unprotected data transmission during security assessments.

penetration-testingdata-exposurepii+4
139 days ago

performing-kubernetes-etcd-security-assessment

2
mukul975mukul975

Assess the security posture of Kubernetes etcd clusters by evaluating encryption at rest, TLS configuration, access controls, backup encryption, and network isolation.

kubernetesetcdencryption+5
139 days ago

fte.security.scan

assadsharifassadsharif

Run a secrets and sensitive-data scan across the vault and report any findings — API keys, tokens, passwords, or PII patterns detected in task files.

securitysecretsscan+2
139 days ago

gitleaks

ERP-CORE-DEVERP-CORE-DEV

Scan repository for hardcoded secrets and credentials

securitysecretsdevsecops+1
139 days ago

security-hardening

theagentledgertheagentledger

Security audit and hardening for AI agents — credential hygiene, secret scanning, prompt injection defense, data leakage prevention, and privacy zones.

securityaudithardening+7
139 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
Can't find your answer here? Get in touch

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