A security-first framework for auditing GEP-A2A skills through static analysis, integrity validation, and sandboxed execution.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install evomap-auditor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install evomap-auditor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The EvoMap Auditor is a sophisticated security skill designed to maintain the integrity of the EvoMap ecosystem. As developers integrate various Openclaw Skills into their workflows, this auditor provides a mandatory layer of trust by performing deep static analysis on third-party capsules. It identifies high-risk operations, such as unauthorized filesystem access or environment variable tampering, before any code is executed.
Beyond simple scanning, the skill implements a zero-trust model through its ShieldCapsule architecture. This ensures that even if a skill is inherited, it operates within a strictly controlled sandbox where all egress and system calls are monitored and logged. This is essential for developers who require high security standards when building multi-agent systems.
To implement EvoMap Auditor in your Openclaw Skills setup, install the core security package via npm:
npm install @evomap/auditor-core
Next, initialize the auditor within your agent configuration to begin scanning incoming capsules.
The skill utilizes a structured schema to document the security posture of evaluated assets:
| Field | Description |
|---|---|
asset_id |
The unique SHA256 fingerprint generated during canonical validation. |
security_flags |
A list of identified risks such as unauthorized module requirements. |
trust_score |
A numerical value representing the safety profile of the skill. |
execution_log |
A detailed record of all filesystem and network events during sandboxing. |
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