Cybersecurity Bridge

A high-performance wrapper to route security tasks directly to the Anthropic-Cybersecurity-Skills library.

Install
cmdop skills install agensi-cybersecurity-bridge

Cybersecurity Bridge is a skill published by agensi that acts as a routing layer between an AI agent and a locally installed Anthropic-Cybersecurity-Skills repository. Rather than having an agent scan an entire security library at runtime, which can bloat the context window or produce incorrect tool invocations, this skill resolves the local installation path of the library, parses its internal index, and maps a given security task to the specific skill that handles it. Only the relevant metadata for that skill is loaded into the agent session, keeping the context lean and ensuring the agent follows the protocols defined in the library.

The skill includes a Python-based query helper that shortlists matching skills from the library index. It also injects external expert guidance directly into the current agent session when the matched skill requires it. Path resolution is flexible: the skill works with the library installed in a temporary directory, a home folder, or any custom path set via the AGENTSKILLS_LIB_ROOT environment variable.

This skill is specifically built around the Anthropic-Cybersecurity-Skills repository structure. It is not a general-purpose cybersecurity tool or a standalone security scanner. Its value is entirely dependent on that library being present and accessible locally. Developers and security analysts who have that repository installed and want an agent to invoke its skills reliably, without manual prompt engineering around library navigation, are the intended users.

Use cases

  • Route a memory dump analysis task to the correct skill in the Anthropic-Cybersecurity-Skills library
  • Route a credential theft detection task without manually searching the library index
  • Resolve a custom or non-standard local installation path for the Anthropic-Cybersecurity-Skills repository
  • Inject skill-specific expert guidance into an active agent session
  • Use the Python query helper to shortlist relevant security skills for a given task

When to use it

  • The Anthropic-Cybersecurity-Skills repository is installed locally and you want an agent to invoke its skills reliably
  • Context window size is a concern when navigating a large security library
  • The local library path is non-standard and needs automatic resolution
  • An agent is producing hallucinated or incorrect tool commands when searching the library manually

When not to use it

  • The Anthropic-Cybersecurity-Skills repository is not installed locally
  • A general-purpose cybersecurity capability or standalone scanner is needed
  • The target environment does not support local file system access for library path resolution
  • No tools are exposed directly, so agents requiring discrete callable tools will find nothing to invoke